Staff Deep Learning Compiler Engineer

Key Skills

C++, CUDA/GPU programming, Leadership Skill, Machine learning techniques, PyTorch, TensorFlow, TensorRT

Job Description

We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. 

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

The Autonomous Vehicle (AV) software stack heavily relies on machine learning to perform critical tasks. Throughout the life-cycle of each machine learning model, we collaborate with skilled ML engineers to optimize the models for compute and power efficient inferencing on Cruise's on-car ML hardware accelerators. Such a close working relationship is key to rapidly deploying intelligent systems on the car.

Cruise is looking for a machine learning compiler engineer to build the compiler and software tool chain for deploying machine learning models on to a variety of ML hardware accelerators. In this position, you will develop and enhance Cruise’s internal ML compiler for high-performance, usability and retargetability.

In this role, you will collaborate closely with engineers and researchers from different AV Engineering teams (e.g. Computer Vision, Perception, platform) to scope out system/software requirements at the application level while engaging with AV hardware teams to understand the target hardware platform and its constraints.

WHAT YOU'LL BE DOING

• Influence foundational compiler architecture decisions and strategy within Cruise
• Develop high level ML compiler optimizations like operator fusion, memory planning, layout optimization
• Build out the compiler backend for the different on-car ML accelerators
• Build performance tooling to evaluate, understand and improve ML performance on different accelerators
• Collaborate with multi-functional teams of AV engineers to influence our ML strategy and provide requirements for hardware vendors
• Follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other engineers
• Take a lead in discovering novel applications of compiler technology within Cruise

WHAT YOU MUST HAVE:

• 5+ years of experience in the field of compiler design and 2+ years of experience with ML
• Experience with ML frameworks (e.g., PyTorch, TensorFlow) and software stack (e.g., MLIR, XLA, TVM, TensorRT, etc)
• Expertise in writing production quality C++ code
• Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration
• MS, or higher degree, in CS/CE/EE, or equivalent, in industry experience

BONUS POINTS!

• GPU programming (CUDA) and familiarity with ML SW stack (e.g., cuDNN, cuBLAS)
• SIMD programming (avx2, neon)
• Experience with ML accelerators and hardware architecture
• Familiarity with parallelization techniques for ML acceleration

The salary range for this position is $193,900 - 285,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.

WHY CRUISE?

• OUR BENEFITS ARE HERE TO SUPPORT THE WHOLE YOU:

• Competitive salary and benefits 
• 401(k) Cruise matching program 
• Medical / dental / vision, AD+D and Life
• Subsidized mental health benefits
• Flexible vacation and company paid holidays
• Healthy meals and snacks available for non-remote employees
• Paid parental, jury duty, bereavement, family care, and medical leave
• Fertility Benefits
• Dependent Care Flexible Spending Account
• Flexible Spending Account 
• Pre-tax Commuter Benefit Plan for non-remote employees
• CruiseFlex, a working policy for US-Based Cruisers, lets you and your manager find the working style that’s best for you, whether it’s primarily in-person, primarily at home, or a combination of home and in-office time. - learn more about CruiseFlex here