Staff Software Engineer - Machine Learning

RTL2 Fernsehen GmbH & Co. KG; United States; Hybrid; USD 134,000 - 205,000; Full time

Benefits offered by this job

Health and wellbeing benefit programs

GM vehicle discounts

Paid vacation & holidays

Job summary

Israelvcforum is seeking to fill a remote role focused on developing machine learning (ML) models for simulation in autonomous vehicle (AV) environments. The position is expected to report to a location three times a week if living within a specified radius. Ideal candidates will have 4+ years in robotics, strong programming skills in C++ or Python, and experience in ML model deployment.

The role includes responsibilities such as streamlining integration and creating ML infrastructure and working collaboratively within an ML team.

Qualifications

• Experience building highly performant ML and system pipelines.
• Experience with profiling CPU and/or GPU software.
• Ability to design across multiple systems.

Responsibilities

• Support team in developing ML and RL models.
• Streamline integration and create ML infrastructure.
• Work as part of an ML team and contribute software engineering expertise.

Skills

4+ years of experience in robotics or latency-sensitive backend services

Experience working with machine learning teams

Strong programming skills in modern C++ or Python

Track record in deploying perception/prediction/AV models

Expertise in scalable, efficient architectures

Job description

Job Description

Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.

Role: The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game that autonomous vehicles train on to learn to drive, the Smart Agents team develops the ML/AI models that control the other characters in the video game to interact in realistic ways as the autonomous vehicles drive, the other vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The Smart Agents group works closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers.

The specific duties may include ML/RL model development as well as training loop development, streamlining optimization, integration, creating ML infrastructure, metrics, and data pipelines for production model deployment as well as fast experimentation cycles.

What You'll Do

• Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization.
• Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation.
• Work as part of an ML team and contribute strong software engineering (SWE) expertise.
• Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies.
• Have experience in simulation and robotics, preferably with a background in AV or robotics rather than solely in cloud-focused companies.

Your Skills & Abilities

• 4+ years of experience in the field of robotics or latency‑sensitive backend services.
• Background working with machine learning teams, algorithms, and models.
• Experience building highly performant ML and system pipelines.
• Strong programming skills in modern C++ or Python.
• Experience with profiling CPU and/or GPU software, process scheduling, and prioritization.
• Passionate about self-driving car technology and its impact on the world.
• Expertise in setting architectures that are scalable, efficient, fault‑tolerant, and easily extensible.
• Ability to design across multiple systems and investigate sophisticated areas, with a breadth of understanding of systems outside of one's domain.
• Ability to wear several hats, shifting between coding, design, technical strategy, mentorship, and making judgment on when to switch contexts to meet the greatest need.
• Track record in deploying perception/prediction/AV models into real‑world environments.
• Experience working with RL and sequence prediction (ML) models.

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $134,000 to $205,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation

This job may be eligible for relocation benefits.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre‑employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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