BRN Discussion Ongoing

[davidfitz]

Congratulations again to winners in the Product categories in the 15th annual Best in Biz Awards: Addigy Adobe ADP Aha! Applied Systems Asensus Surgical Atombeam Technologies Aviatrix BrainChip… | Best in Biz Awards

Congratulations again to winners in the Product categories in the 15th annual Best in Biz Awards: Addigy Adobe ADP Aha! Applied Systems Asensus Surgical Atombeam Technologies Aviatrix BrainChip DataDocks Deako Dynamo Software Fidelity Investments First Internet Bank GreenShield iHealth Labs...

www.linkedin.com

View attachment 93749

No wonder we won, the NEXA glasses are just the beginning (I hope). With the clinical trials almost completed we should start to see the true benefit in 2026. Like many I am hopeful this will lead to a commercial agreement.

AI Anomaly Detection for Seizure Prediction: How BrainChip enables Onsor Technologies NEXA

BrainChip's Akida processor is enabling real-time seizure prediction in wearable devices, marking a breakthrough in low-power, personalized medical AI at the edge.

www.wevolver.com

What’s Next: Scaling Neuromorphic AI in Healthcare​

The capabilities demonstrated in seizure prediction are only a starting point. The same underlying technology—low-power, event-based neuromorphic AI—can be applied to a range of neurological and muscular conditions where early detection and real-time response are critical.

• Gesture-Controlled Prosthetics: In prosthetics and assistive mobility solutions, neuromorphic processors can interpret EMG or neural signals to provide precise, real-time control of limbs. SNNs improve responsiveness while keeping power consumption low, enabling all-day operation. With on-device learning, such systems can continuously adapt to each user’s signal patterns and control behavior, improving over time without retraining [4].
• Continuous Rehabilitation Monitoring: AI-powered wearables can track muscle movements, gait patterns, or facial expressions for 24/7 monitoring. These devices can flag early signs of falls, pain, or emotional distress in patients who may struggle to communicate. Always-on operation makes long-term monitoring possible without constant recharging [9].
• A New Model for Edge AI in Medicine: Medical AI at the edge is becoming more feasible, secure, and personal. BrainChip’s Akida processor enables smart wearables, implants, and monitoring systems that run AI locally without compromising speed or data privacy. Future devices could track brain or heart signals in real time, adapting to individual health profiles without cloud dependency [10].
• Beyond Seizure Prediction: AI-powered systems have the potential to predict tremors in Parkinson’s patients before they occur, monitor stroke rehabilitation with greater precision, and detect early signs of cognitive or motor decline. These applications demand constant, adaptive analysis [7,8], something neuromorphic processors can deliver without compromising battery life or data privacy. BrainChip and Onsor are already exploring broader use cases, demonstrating how this platform can scale across multiple domains of personalized, real-time healthcare.
  
  
  

 

[manny100]

Thanks @itsol4605 Let's hope we keep Steve as I feel he is integral to our success.
At about the 24 min mark the host is talking about wearables and in particular his "aura ring" running out of battery.
Steve says "I can't really disclose" and then goes on to talk about how we are targeting the wearable industry.
Also at the 56 min mark Steve talks about a sponsored University race using drones fitted with Akida but that has not gone public yet.
Exciting times ahead.

Around 29 min mark he says we have a customer who pulled out their Jetson NVIDIA chips and put AKIDA in. He said Immediate 10 fold improvement. He then followed with anything that is moving is a collision risk for humans eg cars, robots.....etc.
Then follows on after a question that our chips out for taping can be radiation hardened which he says is suitable for one of our space customers.

 

[manny100]

Have a look!

Thanks, great video,
A few more points from Steve,
Thanks itsol4605, Awesome video. Some further comments:
35 min: Regarding a question about ear aids growth Steve said " I think we are seeing rapid adoption now". Backs up Seans comments in the AusxBis video.
43 min : Ear buds can be hearing aids.
Denoising via TENNs State based mode.
Neuromophic for input signal and TENNs for output
Can use a local LLM model on hearing aids for memory assistance. Steve used the example of a grand daughters name and age.
With the aging population this has the potential to be huge.
Later he talked about local LLMs being used in industry improving productivity and being on chip not letting competitors getting a chance to look at it.
48 min: Steve said we have a contract with the USAFRL and results surprised both Brainchip and the contractor and now expanding it.
Adding capabilities to radar that were not there before. AKIDA adds the ability to classify what it detects.
AKIDA also makes the devices much smaller. They work well in all weather etc.
This could well be huge.
Then he talks about this in Drones and Robotics.
Robotics though are in the evaluation stage.
To speed things up BRN are doing in radar and wearables for clients. This is way better than just throwing algorithms at clients and saying do it yourself.
Towards the end of the video Steve says we know all about (apple) "Air Tags, we now have "Brain Tags".
He said
54 min addresses a question why has it taken neuromorphic AI to find commercial applications. Explains in scientific terms and also in this context he said we have new tools which we will announce in the next month. He said this will be a huge advance for BRN.
He also said that people get to focused on the hardware but the software is what NVIDIA said is how it works - so Development Hub set up by BRN.

 

[7für7]

I’m at that stage of my BrainChip investment where I’m already crying happy tears and popping champagne on credit… because everything’s looking pretty damn grey right now.

Wohooo go Brainchip something is happening behind closed doors

 

[7für7]

I’m at that stage of my BrainChip investment where I’m already crying happy tears and popping champagne on credit… because everything’s looking pretty damn grey right now.

Wohooo go Brainchip something is happening behind closed doors

 

[Diogenese]

Thanks for posting. Steve is well spoken and understands the technology. Great viewing.

Looks like the RTX/USAF radar project has spawned a real winner - see-in-the-dark robots are just one application. The micro-Doppler radar project surprised RTX, USAF, and BRN. The initial model for this would have used RTX radar data, but apparently it can be applied to any radar signal. The micro-Doppler probably also provides much more precise Time-of-Flight (ToF) 3D outlines. No wonder Sean was excited. Can't wait for the patent.

Another revolutionary development is the "universal" model conversion tool for TENNs. This expands Akida's applicability in temporal applications.

The world is Akida's oyster!

 

[Doz]

Thanks, great video,
A few more points from Steve,
Thanks itsol4605, Awesome video. Some further comments:
35 min: Regarding a question about ear aids growth Steve said " I think we are seeing rapid adoption now". Backs up Seans comments in the AusxBis video.
43 min : Ear buds can be hearing aids.
Denoising via TENNs State based mode.
Neuromophic for input signal and TENNs for output
Can use a local LLM model on hearing aids for memory assistance. Steve used the example of a grand daughters name and age.
With the aging population this has the potential to be huge.
Later he talked about local LLMs being used in industry improving productivity and being on chip not letting competitors getting a chance to look at it.
48 min: Steve said we have a contract with the USAFRL and results surprised both Brainchip and the contractor and now expanding it.
Adding capabilities to radar that were not there before. AKIDA adds the ability to classify what it detects.
AKIDA also makes the devices much smaller. They work well in all weather etc.
This could well be huge.
Then he talks about this in Drones and Robotics.
Robotics though are in the evaluation stage.
To speed things up BRN are doing in radar and wearables for clients. This is way better than just throwing algorithms at clients and saying do it yourself.
Towards the end of the video Steve says we know all about (apple) "Air Tags, we now have "Brain Tags".
He said
54 min addresses a question why has it taken neuromorphic AI to find commercial applications. Explains in scientific terms and also in this context he said we have new tools which we will announce in the next month. He said this will be a huge advance for BRN.
He also said that people get to focused on the hardware but the software is what NVIDIA said is how it works - so Development Hub set up by BRN.

How did you miss this one Manny ?


Steve’s mate from Qualcomm started a new business , Aynak Inc .

10 months ago ,

 

[Boab]

How did you miss this one Manny ?


Steve’s mate from Qualcomm started a new business , Aynak Inc .




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10 months ago ,

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View attachment 93753

View attachment 93754


View attachment 93755




View attachment 93757

View attachment 93758

Perhaps this coincides with the time we thought we'd lost Steve. There was a bit of confusion and I think he was promoted?
Not sure if I'm remembering correctly?

 

[Food4 thought]

Looks like the RTX/USAF radar project has spawned a real winner - see-in-the-dark robots are just one application. The micro-Doppler radar project surprised RTX, USAF, and BRN. The initial model for this would have used RTX radar data, but apparently it can be applied to any radar signal. The micro-Doppler probably also provides much more precise Time-of-Flight (ToF) 3D outlines. No wonder Sean was excited. Can't wait for the patent.

Another revolutionary development is the "universal" model conversion tool for TENNs. This expands Akida's applicability in temporal applications.

The world is Akida's oyster!

love your work
lets get ready to enjoy the future or is it here already

 

[smoothsailing18]

Response from IR regarding Megachip IP agreement. This response suggested maybe their looking at the next version rather than a renewal of the original, IMO. All a guess tho.

Hi,

Thank you for your email.

BrainChip continue to monitor our ASX continuous disclosure obligations which are taken extremely seriously at a board and company level.

We note that the agreements you reference relate to the company's first-generation IP.

If we do decide to renew any material agreements, that decision would be made public via the ASX platform at the appropriate time, and in compliance with ASX continuous disclosure rules.

Best regards
BrainChip

 

[CHIPS]

Does anyone know this (new) company? https://unconv.ai/introducing-unconventional-ai/
What do you think about it?
....
To help us achieve this goal, we have raised $475 million in seed funding and the company is valued at $4.5 billion. The round was led by Lightspeed and Andreessen Horowitz, with participation from Sequoia, Lux Capital, DCVC, Future Ventures, Jeff Bezos, and many other amazing investing partners. Naveen Rao, cofounder and CEO, will personally be investing $10 million alongside others.

Unconventional: KI-Chip-Startup von Naveen Rao fordert Nvidia heraus

Unconventional Inc. von KI-Pionier Naveen Rao startet mit Milliardenbewertung und will Nvidia im KI-Chip-Markt herausfordern. Jetzt mehr erfahren!

maresmedia.se

AI pioneer Naveen Rao launches Unconventional: The billion-dollar startup that challenges Nvidia​

The AI chip market is about to get a new game-changer: Naveen Rao, multi-billionaire exit entrepreneur and AI visionary, is launching Unconventional Inc., aiming for a direct challenge to Nvidia. With planned funding of $1 billion and a valuation of $5 billion, this startup could revolutionize how we design AI hardware. The company is backed by heavyweights like Andreessen Horowitz, Lightspeed, and Lux Capital – a clear indication that something groundbreaking is in the making.

The serial entrepreneur with the Midas touch​

Naveen Rao's track record is impressive. As the founder of Nervana Systems, he achieved his first major exit in 2016 when Intel acquired the company for over $400 million. After serving as Intel's head of AI, he founded MosaicML in 2020, an AI model training startup, which he sold to Databricks just three years later for $1.3 billion.
With his latest venture, Rao returns to his roots: AI hardware. But this time with an even more ambitious vision. "It's a big leap... we're rethinking the foundations of a computer to create a new substrate for intelligence that's as efficient as biology," Rao announced at the launch of Unconventional in September 2025.
His expertise in neuroscience and computer architecture forms the perfect basis for his new goal: "Brain Scale Efficiency without the biological baggage!" – an efficiency like the human brain, but without its biological limitations.

A $5 billion startup straight from the cradle​

What sets Unconventional apart from other startups is its unprecedented funding structure. Rao has already raised hundreds of millions of dollars and plans to secure the remaining billion in tranches—an unusual but strategically astute approach that allows him to begin building immediately. This funding strategy reflects investors' immense confidence in Rao's vision and gives the company the firepower it needs to compete with industry giants like Nvidia.

The biologically inspired revolution against Nvidia's dominance​

In a market dominated by Nvidia with an estimated 70-95% share, Unconventional is taking a completely new approach. Instead of aiming for only marginal improvements to existing architectures, the startup is developing both custom silicon chips and the associated server infrastructure.
The focus on “biological efficiency” points to memory-centric, parsifting, or even neuromorphic approaches—technologies that could drastically reduce energy consumption per operation. This is particularly relevant because memory movements now account for the largest share of the power budget in large-scale AI inference.
This efficiency gain could be exactly the leverage Unconventional needs to prevail against Nvidia's established ecosystem. Because despite Nvidia's impressive 78% gross margin, there is a growing need for more energy-efficient solutions for AI workloads.

Market opportunities in the multi-hundred-billion-dollar segment​

The global AI chip market is expected to reach $40.79 billion in 2025 and, according to analysts, could grow to several hundred billion dollars annually by the end of the decade. This explosion in demand creates space for several winners – if they can properly align supply, ecosystem, and customer base.
With hundreds of billions in collective capital pledged by hyperscalers and AI companies, the question is not whether there is demand, but whether Unconventional can translate its biologically inspired vision into scalable, enterprise-ready technology.

The road to success: Why Unconventional could win​

While many AI chip startups struggle to get beyond pilot projects, Unconventional brings crucial advantages: Rao's track record, his technical know-how, and a network of top investors who have already supported his previous successes.
The biggest challenge will be overcoming Nvidia's established software ecosystem with CUDA and cuDNN. However, if Unconventional can combine a truly differentiated architecture with a pragmatic software strategy, it could quickly make it onto the shortlist of credible Nvidia alternatives.

The chip race has only just begun.​

Unconventional is more than just another hardware startup – it represents a fundamental paradigm shift in AI chip architecture. With a valuation of $5 billion even before actual product development, the company is setting new standards for AI hardware startups.
For tech investors and AI companies, Unconventional is definitely a company to keep an eye on. Whether Rao will land his third billion-dollar exit remains to be seen – but his vision of biologically inspired AI hardware could be exactly the breakthrough the industry needs for the next wave of AI.

 

[Jacob Kiraz]

Yes @Jacob Kiraz it's very frustrting but I'm luckily in a position where I can wait it out.
Hope you are too.

What position would that be

 

[FabricatedLunacy]

Response from IR regarding Megachip IP agreement. This response suggested maybe their looking at the next version rather than a renewal of the original, IMO. All a guess tho.

Hi,

Thank you for your email.

BrainChip continue to monitor our ASX continuous disclosure obligations which are taken extremely seriously at a board and company level.

We note that the agreements you reference relate to the company's first-generation IP.

If we do decide to renew any material agreements, that decision would be made public via the ASX platform at the appropriate time, and in compliance with ASX continuous disclosure rules.

Best regards
BrainChip

So Megachips out then...

 

[Boab]

What position would that be

I have no debt.

 

[Diogenese]

I have no debt.

Makes it hard to sing the Banana Boat song ...

 

[Boab]

Makes it hard to sing the Banana Boat song ...

I am still working but not as hard as those poor buggers.

 

[TECH]

Something I’ve always found very odd is that the job openings listed on the BrainChip website tend to differ from those listed by our company on LinkedIn. Why not post all open positions in both places?

There are currently two job openings listed on the BrainChip website, one of which has been up for ages, namely that for “Sales Director US/Bay Area”, which I first spotted almost a year ago, back in early January. (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-445809).
It has since been reposted several times. However, it appears no suitable candidate has yet been found.

Default Placeholder Jobs

View attachment 93736

A similar job ad was recently posted on LinkedIn, but this time round it was an opening for a “US Sales Manager” in Washington, DC.

Turns out, though, the description is more or less just a copy & paste from the “Sales Director US/Bay Area” job ad, with two marked differences:

“This position must be located on the East Coast.”

“Expectation to complete at least two contract/deal within your first year of employment.” (Note that for the “Sales Director US/Bay Area” position it was merely one - whoever did the copy & paste and then made the changes evidently forgot to put “contract/deal” into the plural!)

The job description itself refers to the position being that of a “Sales Manager/Director”, adding “This position is a pivotal member of the sales team, reporting directly to the VP of Global Sales”. That phrase was actually taken verbatim from the “Sales Director US/Bay Area job ad”. Weirdly, it even says under “Market Expansion”: “Develop and implement strategic sales plans to achieve sales targets and expand BrainChip's IP adoption in the US/Bay Area market.”

So is it just sloppy proofreading once again or is this new East Coast-based position actually meant to be a replacement for the yet-to-be-filled role of “Sales Director US/Bay Area” (presently still listed as open on the BrainChip website) rather than an additional sales position lower in hierarchy?

Which in turn would beg the question: Why the sudden shift of focus from Silicon Valley to Washington, DC? Is it the geographical closeness to the seat of the US Government and/or to defense or civilian government contractors in the Beltway (ie Virginia and Maryland) that is so enticing?

Or has our management team made out a new market opportunity represented by specific (other) industries/companies located (primarily) on the East Coast?

Some readers might readily associate “East Coast” and “company” with Boston Dynamics, but as I’ve mentioned before, Boston Dynamics have their own Robotics and AI Institute (https://rai-inst.com), with plenty of AI experts in their two offices in Cambridge, MA and Zurich, Switzerland. They would know how to reach out for assistance if needed.

BrainChip hiring US Sales Manager in Washington, DC | LinkedIn

Posted 12:00:46 AM. The Sales Manager/Director will spearhead the sales initiatives of BrainChip Inc. in the US…See this and similar jobs on LinkedIn.

www.linkedin.com

BrainChip

US Sales Manager​

Washington, DC · Reposted 1 week ago · Over 100 applicants
Promoted by hirer · Actively reviewing applicants
$100K/yr - $175K/yr + Stock, Commission
Remote
Full-time

​

About the job​

The Sales Manager/Director will spearhead the sales initiatives of BrainChip Inc. in the US, focusing on expanding market share, fostering customer relationships, and driving revenue growth. This position is a pivotal member of the sales team, reporting directly to the VP of Business Dev/Sales.

This position must be located on the East Coast.

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:

• Market Expansion: Develop and implement strategic sales plans to achieve sales targets and expand BrainChip's IP adoption in the US/Bay Area market.
• Customer Relationship Management: Build and maintain strong relationships with key SOC customers, understanding their needs and providing tailored IP solutions.
• Sales Strategy Execution: Drive the execution of sales strategies and initiatives to maximize IP contract revenue and market penetration.
• Lead Generation and Conversion: Identify new business opportunities and manage the entire sales process from lead generation to closing deals.
• Sales Forecasting and Reporting: Provide accurate sales forecasts and reports, analyzing sales data to identify trends and opportunities for improvement.
• Collaboration: Work closely with the marketing, product development, and customer support teams to ensure a cohesive approach to market needs and customer satisfaction.
• Product Knowledge: Maintain a deep understanding of BrainChip's product portfolio and technological advancements to effectively communicate value propositions to customers.
• Competitive Analysis: Monitor and analyze market trends and competitors' activities to adjust strategies accordingly.
• Travel: Domestic travel as required to meet with customers, attend industry events, and participate in training sessions.
• Expectation to complete at least two contract/deal within your first year of employment.

QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty effectively and professionally. The requirements listed below are representative of the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education/Experience:

• Degree: Bachelor's Degree in Business, Marketing, Engineering, or a related field.
• Experience: Minimum of 7 years of experience in sales within the semiconductor or technology industry, with a proven track record of meeting or exceeding sales targets.
• Technical Knowledge: Familiarity with AI technologies and semiconductor ecosystems is highly desirable.
• Customer Management: Demonstrated ability to manage customer relationships and sales processes effectively.

Other Skills and Abilities:

• Relationship Building: Proven ability to establish and maintain strong relationships with customers and internal teams.
• Sales Acumen: Strong analytical skills to identify market trends, forecast sales, and develop strategic plans.
• Intellectual Property (IP) Sales Process: prior experience managing the sale of IP Licenses, Contracts and Royalty arrangements.
• Communication: Excellent verbal and written communication skills, with the ability to present effectively to diverse audiences.
• Project Management: Experience in managing complex sales projects and coordinating with multiple stakeholders.
• Problem-Solving: Strong problem-solving abilities with a proactive and solution-oriented approach.
• Multitasking: Ability to prioritize and manage multiple tasks efficiently in a fast-paced environment.

Employer-provided

Pay range in Washington, DC​

Exact compensation may vary based on skills, experience, and location.

Base salary​

$100,000/yr - $175,000/yr

Additional compensation types​

Stock, Commission

---

Also, earlier today, another East Coast-based job got advertised: that of a Field Application Engineer in the Greater Boston Area:

#hiring | BrainChip

We're #hiring a new Field Application Engineer in Greater Boston. Apply today or share this post with your network.

www.linkedin.com

View attachment 93740

BrainChip hiring Field Application Engineer in Greater Boston | LinkedIn

Posted 12:31:08 AM. *This position is a remote position. This person must be located on the East Coast. The Field…See this and similar jobs on LinkedIn.

www.linkedin.com

BrainChip

Field Application Engineer​

Greater Boston · 10 hours ago · 11 applicants
Promoted by hirer · Company review time is typically 1 week
$100K/yr - $160K/yr + Bonus, Stock

About the job​

*This position is a remote position. This person must be located on the East Coast.

The Field Applications Engineer will be the primary technical interface between BrainChip Sales and Engineering Members and to support current and future customers. This role will be responsible for post-sales evaluations, system design and integrations, and customer troubleshooting. In addition, the Field Applications Engineer will provide end-user facing documentation in the form of application notes, tutorials, and trainings. You must be able to communicate effectively at the engineering level with customers, understand their objectives and needs to develop and articulate solutions to address customers’ requirements.

*Please note: We are not engaging with external recruiting agencies for this role at this time.

About the Role

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:

• Work with Sales and Engineering members, to support customers and help develop technical solutions for Brainchip’s Akida Neuromorphic System-on-Chip (NSoC).
• Understand customer’s technical requirements & propose solutions and manage projects related to customer activity resolve any customer challenges.
• Be the customer’s trusted advisor and main interface between Customers and BrainChip.
• Ability to understand and present complex technical requirements, problems, and solutions concisely in verbal and written communications.
• Know and understand ASIC and Systems development process and experience Schematics and CAD drawings.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Education/Experience:

• Bachelor’s degree or Master’s Degree in Computer Science, Electrical Engineering or equivalent.
• Five to ten years of technical pre-sales and / or customer support experience.
• Strong experience with API programming, scripting languages, Linux, Windows Server, and PC/Server drivers.
• Experience with Video Management System (VMS), Video Analytics, APIs from Milestone, Genentec, OnSSI, or others.
• Understanding of Video Codec Technology (VLC, Intel Quick Sync Video).
• Strong experience in at least one application field CPUs, Tools and methodologies and/or machine learning.
• Broad understanding of Machine Learning, Deep Learning, CNN, and Neuromorphic Computing.
• Strong verbal and written communication skills.
• Strong teamwork and interpersonal skills and analytical skills.
• Desire to be involved in a diverse and creative work environment.
• Must be a self-starter with mindset for growth and real passion for continuous learning.

Preferred Skills

• Software QA/Debug experience.
• Board design and development.
• FPGA experience.
• Machine Learning, Artificial Neural Network Programming.

At BrainChip, we hire based on potential, performance, and alignment with our mission to shape the future of intelligent edge computing. We are committed to providing a fair and respectful workplace where individuals are evaluated on their qualifications and contributions. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, or any other status protected by applicable law.

We value the diverse perspectives and experiences that help drive innovation in neuromorphic AI and welcome applicants from all backgrounds who share our passion for advancing technology that matters.


Employer-provided

Pay range in Greater Boston​

Exact compensation may vary based on skills, experience, and location.

Base salary​

$100,000/yr - $160,000/yr

Additional compensation types​

Bonus, Stock

---

Another recent addition is the job opening for “Director of Software Engineering” (“This is a hybrid role, in our Laguna Hills, CA office 2x-3x a week.”), with references to Akida 3.

“We are seeking a seasoned Principal Software Architect with 7+ years of deep systems software experience to own the full developer platform for our 3rd-generation Neural Processing Unit (NPU).”

BrainChip hiring Director of Software Engineering in Laguna Hills, CA | LinkedIn

Posted 7:27:57 PM. *We are not accepting outside agencies at this time* BrainChip is pioneering neuromorphic edge AI…See this and similar jobs on LinkedIn.

www.linkedin.com

BrainChip
https://www.linkedin.com/jobs/view/4341105585/?alternateChannel=search&eBP=NOT_ELIGIBLE_FOR_CHARGING&refId=2TxkwqNA2JUFjT3ZIPm0Kw==&trackingId=/qMfRMNw7yOuGwhThqqZkw==&trk=d_flagship3_search_srp_jobs

Director of Software Engineering​

Laguna Hills, CA · Reposted 16 hours ago · 85 applicants
Promoted by hirer · Actively reviewing applicants
$100K/yr - $225K/yr + Bonus, Stock
Hybrid
Full-time

About the job​

*We are not accepting outside agencies at this time*

BrainChip is pioneering neuromorphic edge AI processors that deliver ultra-low-power intelligence at the point of data creation. We are seeking a seasoned Principal Software Architect with 7+ years of deep systems software experience to own the full developer platform for our 3rd-generation Neural Processing Unit (NPU).

Reporting directly to the CTO and partnering closely with our internal compiler lead, you will architect, integrate, and deliver a production-grade software ecosystem—including a VS Code-based IDE with embedded LLM assistance, system-level profiling, target-side bootloader, RTOS integration, and advanced debugging—all built atop mature open-source foundations and our in-house compiler.

Your mission: assemble together a seamless, best-in-class developer experience that hides complexity and accelerates adoption of BrainChip’s unique neuromorphic hardware.

This is a hybrid role, in our Laguna Hills, CA office 2x-3x a week.

Key Responsibilities

1.Developer Platform Architecture & Integration

• Own end-to-end integration of our internal compiler into a unified toolchain with runtime, IDE, debugger, profiler, and deployment pipeline.

2.VS Code IDE with LLM-Powered Developer Assistance

3. System-Level Profiling & Performance Observability

4. Target-Side Bootloader & RTOS Integration

• Architect a secure, minimal target bootloader supporting:

5. Debugging & Hardware-in-the-Loop Workflow

• Extend GDB/LLDB with NPU-specific commands for cycle-accurate stepping, event tracing, and state inspection (membranes, synapses, queues).
• Support JTAG, SWD, and OTA debug with non-intrusive hardware tracing.

6. Hardware-Software Co-Design Feedback Loop

• Work hand-in-hand with the CTO and silicon team to expose hardware capabilities via software abstractions.
• Use profiling and simulation data to influence microarchitecture (e.g., memory tiling, sparsity engines, event routing).

Qualifications

• Education: BS in Computer Engineering, Computer Science, Electrical Engineering, or equivalent.

Experience:

• 7+ years in systems software; 3+ years integrating and productizing complex toolchains (compilers, IDEs, debuggers, profilers).
• Proven success shipping VS Code extensions or full developer platforms used by external teams desired.
• Deep experience with open-source integration and upstream contribution workflows.
• Technical Expertise in many of the following:

– IDE & Tooling: VS Code Extension API, LSP, DAP, TypeScript, WebAssembly UI.
– Debug & Profiling: GDB/LLDB extensions, OpenOCD, eBPF, perf, hardware trace
(ETM/HTM).
– RTOS & Embedded: Zephyr/FreeRTOS, device trees, linker scripts, bare-metal bring-up.
– Build & Packaging: CMake, Ninja, Yocto, Debian packaging, CI/CD.
– Languages: Expert in C/C++, Rust; strong in Python, TypeScript.
– Compiler Integration: LLVM/MLIR tooling, plugin architecture, pass management

• Domain Fit: Experience with edge AI, neuromorphic, or ultra-low-power SoCs strongly preferred and/or intense curiosity and interest.

Preferred Qualifications:

• Upstream contributions to VS Code, LLVM, Zephyr, OpenOCD, or other large opensource projects.
• Experience with LLM integration in IDEs (Copilot, CodeLlama, custom fine-tuned models).
• Secure boot and firmware update systems in production devices.
• Patents or publications in developer tools, profiling, or edge AI deployment.
• Strong Background in robotics and embedded system

Employer-provided

Pay range in Laguna Hills, CA​

Exact compensation may vary based on skills, experience, and location.

Base salary​

$100,000/yr - $225,000/yr

Additional compensation types​

Bonus, Stock

Nice, the recent Cap. Raise funds are being dispersed as I post, being a retired Golf Professional who never made the big time, let alone 6 foot putts under tournament pressure, I think that I'll take a raincheck with regards to applying for the recent new opportunities at Brainchip

With Christmas a week away I personally want to wish all shareholders a very happy festive season and thank all the posters throughout the year who tried their best to keep things balanced and respectful, I love the humour and the selfless researchers, thanks from Tech and Chris, as a boxer once said " I love yous all"

 

[Food4 thought]

Nice, the recent Cap. Raise funds are being dispersed as I post, being a retired Golf Professional who never made the big time, let alone 6 foot putts under tournament pressure, I think that I'll take a raincheck with regards to applying for the recent new opportunities at Brainchip

With Christmas a week away I personally want to wish all shareholders a very happy festive season and thank all the posters throughout the year who tried their best to keep things balanced and respectful, I love the humour and the selfless researchers, thanks from Tech and Chris, as a boxer once said " I love yous all"

you too Chris
sending you xmas greetings from Waiheke Island

 

[Stable Genius]

After the lossless image compression, here comes a spiking autoencoder based lossy image compression framework from Neuromorphic Computing group at TCS Research. Watch out for the presentation at… | Sounak Dey

After the lossless image compression, here comes a spiking autoencoder based lossy image compression framework from Neuromorphic Computing group at TCS Research. Watch out for the presentation at ICVGIP 2025. Tata Consultancy Services - Research

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[Frangipani]

Chiara Ceccobello, Gothenburg-based Project Manager for ESA Phi-Lab Sweden and Researcher at RISE - Research Institutes of Sweden announced three projects today, “driving the future of AI-on-the-edge for space applications. These initiatives mark a major step toward enabling autonomous, responsive, and efficient space systems for Sweden and Europe.”

One of the three projects launched by ESA Phi-Lab is called VAIAS - Validation of an AI Accelerator for Space (November 2025 - November 2027), in which BrainChip is involved via GR801:

“A collaboration between Frontgrade Gaisler and Rapidity Space, VAIAS will validate the GR801 neuromorphic AI accelerator, designed for onboard autonomy under radiation-prone conditions. This disruptive technology will enable real-time inference for Earth Observation, deep space and robotic missions.”

#esaphilabsweden #spaceinnovation #edgeai #earthobservation #aiforspace | Chiara Ceccobello

Exciting News from ESA Phi-Lab Sweden! 🚀 We are thrilled to announce the launch of our first three projects, driving the future of AI-on-the-edge for space applications. These initiatives mark a major step toward enabling autonomous, responsive, and efficient space systems for Sweden and Europe...

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https://www.vinnova.se/en/p/vaias---validation-of-an-ai-accelerator-for-space/

VAIAS - Validation of an AI Accelerator for Space​

Reference number	2025-02991
Coordinator	Frontgrade Gaisler AB
Funding from Vinnova	SEK 2 400 000
Project duration	November 2025 - November 2027
Status	Ongoing
Venture	6G - Infrastructure
Call	ESA Phi-Lab Sweden: Edge AI in space

​

Purpose and goal​

The project addresses a growing market for energy-efficient, fault-tolerant onboard AI computing capable of replacing ground-based processing/power-hungry accelerators ill-suited for space environments. GR801 combines Brainchip Akida IP with Frontgrade Gaisler NOELV fault-tolerant CPU, to deliver reliable inference at the edge in space. The project objectives are two key commercialization enablers: radiation validation of GR801 and AI S/W ecosystem and neuromorphic demonstrator by Rapidity Space

​

Expected effects and result​

The project will deliver a GR801 component validated for space environments and also extensions to the AI SW eco-system. The intended impact is to increase autonomy in European space systems, energy-efficient space missions, support for emerging AI-at-the-edge applications, and potential spillover into adjacent domains such as climate monitoring and robotics. This will contribute to AI hardware and software innovations and accelerating the transition of AI edge computing from lab to orbit.

Planned approach and implementation​

Frontgrade Gaisler will start with a preparatory study in WP1 on use cases and customer intelligence. The results will act as a basis for work packages WP4 and WP5 where the project will focus on the ecosystem around AI software and neuromorphic sensing/computing. WP1 will be carried out by Frontgrade Gaisler and the results will be transferred to Rapidity Space which carries out WP4 and WP5. In parallel, validation of the GR801 will be performed by Frontgrade Gaisler in WP2 and WP3.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 11 November 2025
Reference number 2025-02991

LinkedIn Login, Sign in | LinkedIn

Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.

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Rapidity Space - Spacecraft Software Engineer

Discover our expert spacecraft software engineering services, combining precision and innovation for cutting-edge space technology.

www.rapidity-space.com

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#bremen #d36 #spacetechexpo #bremen #spacesoftware #flightsoftware #onboardai #autonomoussystems #rustinspace #rapidityspace | Rapidity Space

We're on site and all set up at Space Tech Expo Europe in #Bremen! Europe’s largest space industry gathering is in full swing, and the Rapidity Space team is excited to be here at stand #D36. If you’re attending, drop by and say hello — we’d love to connect. We’re showcasing: 🧠 Neuromorphic...

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https://www.linkedin.com/in/chiaraceccobello/

View attachment 93636 View attachment 93637

ESA Phi-Lab Sweden | Empowering AI and Edge Solutions for Space

esaphilab.se

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ESA Phi-Lab opens in Sweden | ESA Phi-Lab Sweden

esaphilab.se

ESA Phi-Lab opens in Sweden​

ESA Phi-Lab is a strategic programme for the commercialisation of space technology innovations from the European Space Agency, ESA. RISE has now been selected to run ESA Phi-Lab Sweden with the aim of accelerating AI and edge learning in the space sector.

ESA Phi-Lab Sweden is part of a European network of Phi-Labs (the Phi-Lab NET) that will strengthen Europe’s competitiveness in the space sector. The goal of ESA Phi-lab Sweden is to strengthen Sweden’s innovative power and position in the space market, by promoting the exchange of ideas, resources and knowledge to develop commercial concepts and applications that leverage the advances made in AI and edge-learning.

“ESA welcomes Phi-Lab Sweden as the tenth centre in the ESA Phi-Lab NET. Phi-Labs aim at bridging the gap between the research and commercial world and channel research efforts into developing commercially viable applications, products and solutions. Thanks to their expertise and world-class facilities, RISE and the Phi-Lab Sweden consortium will provide unique opportunities to entities interested in generating innovation in the space sector by using AI and edge learning.”, says Roberto Cossu, the Head of Innovation Services in the ESA Commercialisation Services Department.

RISE role is to be responsible for the management of ESA Phi-Lab Sweden for 6 years and, with support from Vinnova, will hold open calls and award Seed Fundings for research activities during the first four years of the project.

“With the broad expertise that exists within RISE and the project’s partner organisations, together with the breadth of test and demo facilities that exist within RISE in everything from materials development to the development of AI algorithms, the innovations of the future can be tested under realistic conditions,” says Tobias Edman, Head of Data Platforms and Systems at RISE.

Through collaboration with the Royal Institute of Technology (KTH), the Swedish Institute of Space Physics (IRF), and the Swedish Space Corporation (SSC), the project brings together different aspects of space activities in research, academia and industry. With a total budget of EUR 5.2 million, the initiative is financed half nationally through Vinnova and half through ESA, with support from the Swedish National Space Agency.

“ESA Phi-Lab Sweden offers unique opportunities to test AI and edge-learning on both hardware and software. It increases the pace of innovation, reduces risks and streamlines development.”, says Chiara Ceccobello, the ESA Phi-Lab Sweden project manager.

Press contact:
Tobias Edman, RISE, tobias.edman@ri.se

A week ago, I shared my findings about a new ESA-Phi-Lab Sweden project called VAIAS (Validation of an AI Accelerator for Space), which is a collaboration between Frontgrade Gaisler and Rapidity Space that aims to validate the GR801 neuromorphic AI accelerator (-> Akida) for onboard autonomy in radiation-prone environments.

Today, RISE (Research Institutes of Sweden) posted on LinkedIn about the official kick-off for VAIAS and two other ESA Phi-Lab Sweden Edge AI space projects:

🚀 Kick-off for ESA Phi-Lab Sweden Projects! Yesterday brought an inspiring day of networking as we had the kick-off meeting with three groundbreaking projects funded by ESA Phi-Lab Sweden, a… | AI at RISE

🚀 Kick-off for ESA Phi-Lab Sweden Projects! Yesterday brought an inspiring day of networking as we had the kick-off meeting with three groundbreaking projects funded by ESA Phi-Lab Sweden, a strategic program led by RISE that drives the commercialization of space technology innovations, with a...

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