Individual compensation is determined by skills, qualifications, experience, and location. We benchmark at the top of the market and regularly review real time data to stay competitive. We consider individual qualifications on a case by case basis to secure top 1% talent.

The Role

We’re searching for Staff Compiler Engineers to architect and build the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs. You will own integration with 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

• Ownership: Define and deliver the technical vision and roadmap for your team that unlocks key strategic technical and business goals that are essential to the success of Flux.

• Collaboration: Partner closely with hardware engineers to align compiler, runtime, and debugger requirements with the OTPU design; ensure software and hardware are designed together to deliver maximum performance.

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

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

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

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

Skills & Experience

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

• Extensive experience in ML framework internals, compilers, low-level programming, and optimisation techniques.

• Extensive experience optimising Tensorflow, PyTorch or JAX deep learning models.

• Extensive experience 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

• Starting salary: $275,000 - $336,000, depending on experience.

• Generous stock options in a rapidly growing AI company

• 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.

Compensation Range: $275K - $336K