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Was having a check in on MB jobs.
This one advertised beginning Nov for India MB.
Doesn't mention Akida but that would probs be difficult to request that experience as I don't expect as yet, that many out there with full hands on experience.
Is based around NVIDIA from what I read.
But what caught my eye was the job title.
Now, I'm wondering if that is just an internal naming convention or if relates back to Momenta AI out of China.
Musing on overlaps, diff scenarios of where we fit still without any formal updates and US / China tech issues.
Article below on some strategic investors in Momenta inc MB and Bosch.
jobs-mercedes--benz-com.translate.goog
Vendor/Privacy Policy
November 2022
Mercedes-Benz Research and Development India Private Limited
We build best in class software for Autonomous driving functions for Mercedes Benz passenger cars. We are a team of talented engineers working in a global network to develop the next generation of Driver Assistance and Automated Driving features used in all Mercedes Benz cars sold globally.
About the role:
Be part of an agile software development team developing AI & ML based software for ADAS and Automated Driving features
Job Title:
MB - Momenta ADAS & Automated Driving – Software Development
Job Category:
Internal
Department/Group:
ICA
Job Code:
Years of Experience
1-4 Years(T9)
Opportunity No:
Responsibilities
- Contribute to the R&D of cutting-edge ADAS/AD functions
- AI and ML based function development of ADAS/AD features (e.g. highway pilot) with data driven and rule based approaches.
- Implement ADAS/AD functions from the system/software specification
- Practical usage of mathematical, physical and logical knowledge
- Develop functions from concept until production ready maturity level
- Implement algorithms on embedded hardware
- Test and validate algorithms in simulation and real-car driving
- Analyze and solve problem reports coming from field tests
- Perform effective root cause analysis for problems reported during vehicle testing
- Create tests for the feature on various levels e.g. Unit Tests, SIL, HIL
- Ensure release readiness by creating the required documentation for the customer
- Provide fast and effective software implementation for proof of concepts, when required
Required Skills: Technical
- Over 1-4 years of experience in software development or equivalent in the automotive industry, preferably in the AD/ADAS domain
- Strong C/C++ skills to design, build, maintain efficient and reliable code
- Strong with data driven algorithm development using Machine learning, Deep learning and AI
- Familiarity with hardware acceleration platforms (Nvidia TensorRT, Intel OpenVino)
- Familiarity with some common ML frameworks (TensorFlow, Onxx, Pytorch, etc)
- Understanding of ML workflow: preparing the data, implementing and training ML models, evaluating results, deploying inference on different platforms
- Experience making performant ML pipelines/ inference servers
- Knowledge of different ML models and how to train/benchmark their performance
- Familiar with Python programming
- Familiar with Linux environment
- Professional experience with classic and/or adaptive AUTOSAR is a strong plus
- Strong skills in Automates/State-Machines
- Knowledge in the ADAS field of different SAE Automated Driving levels and in ISO 26262 will be an advantage
- Exposure to configuration management tools like GIT and requirement management tools like DOORS, design tools like Rhapsody, Enterprise Architect
- Good understanding of the SW build environment and build process – compilation, linking, preprocessing etc.
- Hands-on experience in working with Static Quality check tools PRQA, ASTREE, Coverity
- Capability of testing on target (both, HiL and test vehicles)
Required Skills: Non-Technical
- Ability to work in a team environment with open mindedness.
- Curious, team-work, self-motivated
- Excellent oral and written communication skills
- Strong Problem solving, logical thinking and analytical skills.
- Ability to communicate and discuss ideas effectively - verbally and through presentations
- Deep interest in technology
- Excellent organizational, time management, prioritization and multi-tasking skills
programbusiness.com
Autonomous Driving Startup Momenta Raises Another $500M
In the wake of a $300 million investment from General Motors in September, Momenta, an autonomous driving solution provider from China, announced today an additional $500 million added to its Series C round.
Source: TechCrunch | Published on November 5, 2021
The new injection brings the total of the startup’s Series C to over $1 billion. Momenta adapts what it calls a two-legged strategy of supplying advanced driver assistance systems (ADAS) to auto OEMs like GM and Tier 1 suppliers like Bosch, while conducting R&D on truly unmanned vehicles, that is, Level 4 driving.
The startup has assembled a list of heavyweight strategic investors, including China’s state-owned SAIC Motor, GM, Toyota, Mercedes Benz, and Bosch. Singapore’s sovereign fund Temasek and Jack Ma’s Yunfeng Capital are among its institutional investors.
Momenta often speaks of how its alliance with car manufacturers differentiates itself from its peers, which have chosen a more cash-intensive route of developing in-house robotaxi fleets. Instead, it counts on gleaning data from a network of mass-produced vehicles powered by its solutions. Pony.ai and WeRide are among its closest rivals and have also raised a significant amount of capital.
In the case of the GM deal, Momenta’s solution, which uses a mix of consumer-grade millimeter-wave radars and high-definition cameras, will be used in GM’s vehicles sold in China rather than the United States. The startup recently opened its first overseas office in Stuttgart to be closer to its German partners, which may imply the footprint of its technology could extend beyond its home market.
This one advertised beginning Nov for India MB.
Doesn't mention Akida but that would probs be difficult to request that experience as I don't expect as yet, that many out there with full hands on experience.
Is based around NVIDIA from what I read.
But what caught my eye was the job title.
Now, I'm wondering if that is just an internal naming convention or if relates back to Momenta AI out of China.
Musing on overlaps, diff scenarios of where we fit still without any formal updates and US / China tech issues.
Article below on some strategic investors in Momenta inc MB and Bosch.

Die gewählte Stellenanzeige wurde nicht gefunden. | Mercedes-Benz Group
Vendor/Privacy Policy


November 2022
Mercedes-Benz Research and Development India Private Limited
MBOS - ADAS – Software Development
tasks
Our team:We build best in class software for Autonomous driving functions for Mercedes Benz passenger cars. We are a team of talented engineers working in a global network to develop the next generation of Driver Assistance and Automated Driving features used in all Mercedes Benz cars sold globally.
About the role:
Be part of an agile software development team developing AI & ML based software for ADAS and Automated Driving features
Job Title:
MB - Momenta ADAS & Automated Driving – Software Development
Job Category:
Internal
Department/Group:
ICA
Job Code:
Years of Experience
1-4 Years(T9)
Opportunity No:
Responsibilities
- Contribute to the R&D of cutting-edge ADAS/AD functions
- AI and ML based function development of ADAS/AD features (e.g. highway pilot) with data driven and rule based approaches.
- Implement ADAS/AD functions from the system/software specification
- Practical usage of mathematical, physical and logical knowledge
- Develop functions from concept until production ready maturity level
- Implement algorithms on embedded hardware
- Test and validate algorithms in simulation and real-car driving
- Analyze and solve problem reports coming from field tests
- Perform effective root cause analysis for problems reported during vehicle testing
- Create tests for the feature on various levels e.g. Unit Tests, SIL, HIL
- Ensure release readiness by creating the required documentation for the customer
- Provide fast and effective software implementation for proof of concepts, when required
Required Skills: Technical
- Over 1-4 years of experience in software development or equivalent in the automotive industry, preferably in the AD/ADAS domain
- Strong C/C++ skills to design, build, maintain efficient and reliable code
- Strong with data driven algorithm development using Machine learning, Deep learning and AI
- Familiarity with hardware acceleration platforms (Nvidia TensorRT, Intel OpenVino)
- Familiarity with some common ML frameworks (TensorFlow, Onxx, Pytorch, etc)
- Understanding of ML workflow: preparing the data, implementing and training ML models, evaluating results, deploying inference on different platforms
- Experience making performant ML pipelines/ inference servers
- Knowledge of different ML models and how to train/benchmark their performance
- Familiar with Python programming
- Familiar with Linux environment
- Professional experience with classic and/or adaptive AUTOSAR is a strong plus
- Strong skills in Automates/State-Machines
- Knowledge in the ADAS field of different SAE Automated Driving levels and in ISO 26262 will be an advantage
- Exposure to configuration management tools like GIT and requirement management tools like DOORS, design tools like Rhapsody, Enterprise Architect
- Good understanding of the SW build environment and build process – compilation, linking, preprocessing etc.
- Hands-on experience in working with Static Quality check tools PRQA, ASTREE, Coverity
- Capability of testing on target (both, HiL and test vehicles)
Required Skills: Non-Technical
- Ability to work in a team environment with open mindedness.
- Curious, team-work, self-motivated
- Excellent oral and written communication skills
- Strong Problem solving, logical thinking and analytical skills.
- Ability to communicate and discuss ideas effectively - verbally and through presentations
- Deep interest in technology
- Excellent organizational, time management, prioritization and multi-tasking skills

Momenta I Building Autonomous Driving Brains
Momenta is building the “brain” for autonomous vehicles. Our deep learning-based software in perception, HD Map, and data-driven path planning enables the ...
www.momenta.cn

Autonomous Driving Startup Momenta Raises Another $500M - ProgramBusiness | Where insurance industry clicks
In the wake of a $300 million investment from General Motors in September, Momenta, an autonomous driving solution provider from China, announced today an additional $500 million added to its Series C round. The new injection brings the total of the startup’s Series C to over $1 billion. Momenta...

Autonomous Driving Startup Momenta Raises Another $500M
In the wake of a $300 million investment from General Motors in September, Momenta, an autonomous driving solution provider from China, announced today an additional $500 million added to its Series C round.
Source: TechCrunch | Published on November 5, 2021
The new injection brings the total of the startup’s Series C to over $1 billion. Momenta adapts what it calls a two-legged strategy of supplying advanced driver assistance systems (ADAS) to auto OEMs like GM and Tier 1 suppliers like Bosch, while conducting R&D on truly unmanned vehicles, that is, Level 4 driving.
The startup has assembled a list of heavyweight strategic investors, including China’s state-owned SAIC Motor, GM, Toyota, Mercedes Benz, and Bosch. Singapore’s sovereign fund Temasek and Jack Ma’s Yunfeng Capital are among its institutional investors.
Momenta often speaks of how its alliance with car manufacturers differentiates itself from its peers, which have chosen a more cash-intensive route of developing in-house robotaxi fleets. Instead, it counts on gleaning data from a network of mass-produced vehicles powered by its solutions. Pony.ai and WeRide are among its closest rivals and have also raised a significant amount of capital.
In the case of the GM deal, Momenta’s solution, which uses a mix of consumer-grade millimeter-wave radars and high-definition cameras, will be used in GM’s vehicles sold in China rather than the United States. The startup recently opened its first overseas office in Stuttgart to be closer to its German partners, which may imply the footprint of its technology could extend beyond its home market.