Sr. Machine Learning Engineer, Self-Driving Hardware
Description For Sr. Machine Learning Engineer, Self-Driving Hardware
Tesla is seeking a Senior Machine Learning Engineer to join their Self-Driving Hardware team, focusing on enabling neural networks on Tesla's in-house custom Machine Learning Silicon. This role combines cutting-edge AI technology with automotive innovation, working directly on Tesla's self-driving capabilities.
The position requires a deep understanding of neural network architecture, compilers, and hardware mapping, making it perfect for experienced ML engineers passionate about pushing the boundaries of AI in autonomous vehicles. You'll work with state-of-the-art technology, developing and optimizing ML solutions for Tesla's custom hardware.
As a team member, you'll be responsible for critical tasks from analyzing neural networks to developing compiler support and proposing new hardware features. The role offers an opportunity to work with cutting-edge technology in a fast-paced, small-team environment where your contributions directly impact the future of autonomous driving.
Tesla offers comprehensive benefits including competitive healthcare options, family support, financial benefits, and professional development opportunities. The company's commitment to innovation, sustainability, and transformative technology makes it an exciting place for engineers looking to make a significant impact in the automotive and AI industries.
This role is perfect for candidates who combine technical expertise in machine learning with a practical understanding of hardware optimization, and who thrive in an environment where they can tackle complex engineering challenges and drive innovation in autonomous vehicle technology.
Responsibilities For Sr. Machine Learning Engineer, Self-Driving Hardware
- Analyzing and deploying state-of-the-art neural networks on GPU, AI accelerator and performance models
- Develop ML compiler support for new hardware features
- Build high-level performance models and analyze performance
- Propose new hardware features, backed by performance estimates
- Debug performance bottlenecks and issues in hardware or simulation
Requirements For Sr. Machine Learning Engineer, Self-Driving Hardware
- Bachelor's Degree in Computer Science, Computer Engineering or Electrical Engineering or evidence of equivalent experience
- 5+ years of experience in machine learning frameworks, and optimizing neural network performance on hardware
- Comfortable with C++ and python
- Good understanding of GPU architecture and AI accelerators
- Ability to root cause performance issues and debug esoteric symptoms
- Go-getter attitude and capable of pursuing tough engineering challenges to final solutions
Benefits For Sr. Machine Learning Engineer, Self-Driving Hardware
- Aetna PPO and HSA plans with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental and vision plans with $0 paycheck contribution
- Company Paid HSA Contribution
- Healthcare and Dependent Care Flexible Spending Accounts
- LGBTQ+ care concierge services
- 401(k) with employer match
- Employee Stock Purchase Plans
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time
- Back-up childcare and parenting support resources
- Commuter benefits
- Employee discounts and perks program
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