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Job Requirements of Sr. Staff Machine Learning Engineer:
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Employment Type:
Full-Time
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Location:
Palo Alto, CA (Onsite)
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Sr. Staff Machine Learning Engineer
This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done.
We reframe old problems, seek new solutions and operate comfortably in areas that are unknown.
Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role SummaryIn this position within Platform Architecture team, you will work closely with Software, Hardware, System, and SoC groups to develop the infrastructure to enable state-of-the-art machine learning models used in ADAS systems to be efficiently performing and running on the SoC.
This infrastructure enables HW-SW codesign and would result in developing efficient building blocks for state-of-the-art machine learning models.
You will be collaborating with other cross functional teams in understanding the workloads, enabling running workloads on HW and help define the future enhancements to hardware and models.ResponsibilitiesTake various versions of ADAS perception models (development, production, prototype) and map them to SoC; this would involve graph and operator transformations and making the new graph perform efficiently on SoC.Create/Improve exiting QAT infrastructure.Quantize models to different data precisions (4b, 8b, 16b) while preserving originally FP32 accuracyCompress models using structured sparsity schemesQualificationsBS in Electrical Engineering, Computer Science, or relevant fieldExpertise or prior work experience in one of the following areas: Quantization of Neural Networks, Sparsity of Neural Networks, Training of Neural NetworksExposure to Transformers and LLMs is a plus.Experience with ADAS specific workload dealing with Nuscenes, Waymo datasets is a plus.Demonstrate proficiency in C++, Python, Numpy, Pytorch framework.
Excellent debugging and analytical skills, written and verbal communication skills, and a strong team playerPay DisclosureSalary Range for California Based Candidates: $206,500.00 - $258,100.00 (actual compensation will be determined based on experience, location, and other factors permitted by law).Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26.
Coverage is effective on the first day of employment, and Rivian covers most of the premiums.Equal OpportunityRivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities.
If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at Data PrivacyRivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”).
This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information.
Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice for more information.Please note that we are currently not accepting applications from third party application services.To any candidates interested in a position with Rivian, please be aware of recruiting phishing scams impersonating Rivian.
As a general practice, Rivian recruiting does not conduct interviews or communicate with candidates over Microsoft Teams. Please visit Rivian’s Careers page for career opportunities at Rivian.
If you believe you may have been a victim of identity theft because of the phishing scam impersonating Rivian, please go to where you can report and recover from identity theft.
For more information about recommended computer security practices, please go to resources on the FTC’s consumer information site where you can learn how to protect yourselves online and avoid phishing attacks.Job type: FULL TIMECategories: Mechanical & Electrical Engineering
Recommended Skills
- Analytical
- Architecture
- Artificial Neural Networks
- C++ (Programming Language)
- Cloud Computing
- Curiosity
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Job ID: 23491_6369_48688292
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