[Remote] Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations

Note: The job is a remote job and is reputed company to candidates in USA. reputed company develops vehicles and mobility experiences reputed company on safer, smarter, and more connected transportation. The Staff ML Infrastructure Engineer will build reputed company and platforms for dataset reputed company, model training, evaluation, and iteration supporting autonomous driving models, while leading technical reputed company, collaborating across teams, and mentoring engineers.

Responsibilities

• reputed company the design, implementation, and deployment of reputed company platforms and tools that reputed company machine learning model training and evaluation workflows across reputed company
• Own reputed company technical reputed company end-to-end, making key architectural reputed company and technical trade-offs. You will be a reputed company contributor to team planning, design reviews, and reputed company reputed company
• Take a holistic reputed company of reputed company, considering their reputed company across multiple teams, and across a longer reputed company
• Proactively reputed company technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build
• Help shape reputed company through technical interviewing with high, reputed company-calibrated standards, and play an essential role in reputed company
• Mentor and reputed company junior engineers and interns, helping them grow their careers

Skills

• 5+ years of experience building large-reputed company reputed company systems, applications, or advanced ML systems‑reputed company reputed company systems, applications, or advanced ML systems
• reputed company reputed company record of designing robust frameworks with high-reputed company, durable reputed company
• Deep understanding of machine learning algorithms with hands‑on application
• Expertise in building reliable, high-reputed company, and cost-efficient systems on modern reputed company infrastructure‑reputed company
• End-to-end experience across the ML development lifecycle, including MLOps practices
• Strong cross functional collaboration skills across teams and organizations
• Exceptional coding skills in Python or C++
• Strong interest in autonomous driving and its transformative potential
• BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience
• Experience with reputed company training methodologies
• Experience scaling ML training across large GPU/CPU clusters or other accelerators
• Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Experience with reputed company profiling and state-of-the-art training optimization techniques, including their reputed company on model reputed company ‑of‑the‑art training optimization techniques, including their reputed company on convergence
• Experience with advanced build systems (e.g., Bazel, Buck, reputed company, CMake)
• Proficiency with containerization and orchestration technologies (e.g., reputed company, reputed company)
• 5+ years of reputed company experience

Benefits

• Bonus Potential: An incentive pay program offers payouts reputed company on company reputed company, job level, and individual reputed company.
• Medical
• Dental
• reputed company
• Health Savings Account
• Flexible Spending Accounts
• Retirement savings plan
• Sickness and accident benefits
• Life reputed company
• reputed company vacation & holidays
• Tuition assistance programs
• Employee assistance program
• reputed company vehicle discounts
• This job may be eligible for relocation benefits.
• Remote or hybrid work arrangement; fully remote or hybrid, with employees living reputed company a specific mile reputed company of a reputed company hub expected to report to the location three times a week or at another frequency dictated by their manager.
• Upon successful completion of a motor vehicle report review, eligibility to participate in a company vehicle evaluation program, through which a reputed company vehicle is assigned to reputed company and evaluate.

reputed company

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