Senior Compiler Engineer

Reposted 12 Days Ago
Be an Early Applicant
San Francisco, CA
In-Office
230K-282K Annually
Senior level
Artificial Intelligence • Software • Semiconductor
The Role
As a Senior Compiler Engineer, you'll own projects, design compilers and runtimes for ML frameworks, optimize performance, and mentor teams.
Summary Generated by Built In

The role

We’re searching for Senior Compiler Engineers to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs that connect PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers.Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are pushing the limits of their performance envelope by closely partnering with hardware and modelling teams to understand device trade-offs.

Responsibilities

  • Project Ownership: Own and deliver projects on your team's roadmap that unlock key high-impact technical and business milestones that drive the success of Flux.

  • Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware.

  • Optimise Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximise throughput.

  • Mentor & Encourage Standards: Lead code reviews, coach peers, and uphold best practices in ML backend and performance engineering for your team.

  • Guide Team Direction: Stay ahead of GPU, AI accelerator, and optical computing trends; propose and prototype innovations.

Skills & Experience

  • 5+ years of experience in software engineering with a focus on C/C++ programming.

  • Deep expertise in ML framework internals, compilers, low-level programming, and optimisation techniques.

  • Deep expertise in optimising Tensorflow, PyTorch or JAX deep learning models.

  • Deep expertise with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM.

  • Practical experience applying machine learning in high-performance computing contexts.

  • Strong problem-solving skills and the ability to think critically and creatively.

  • Experience in high-pace, dynamic work environments.

  • Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams.

  • Bachelor's degree in computer science, electrical engineering, telecoms engineering, mathematics, or a related field.

  • Personal projects are a key differentiating factor and hold more weight than other requirements.

Compensation & Benefits

  • Competitive salary and stock options, you’re not just part of the journey, you will own a piece of it.

  • Based in our office in central San Francisco

  • To foster collaboration in our high-growth environment, we require all employees to work from our SF office and live within a 45-minute commute. We offer an extra ($24,000/year) incentive for those living within 20 minutes.

Due to U.S. export control regulations, candidates’ eligibility to work at Flux depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.

We do not accept unsolicited CVs from recruitment agencies, will not be liable for any fees, and prohibit unauthorised use of our company name in recruitment activities.

Top Skills

C/C++
Jax
Llvm
Mlir
Openxla/Xla
PyTorch
TensorFlow
Tvm
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The Company
40 Employees
Year Founded: 2024

What We Do

Flux Computing designs and manufactures optical processors to train and run inference on large AI models.

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