info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; Kirkland, WA, USA.
Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with Machine Learning compilers (optimization, parallelization, etc.).
- 5 years of experience with relevant ML design and ML infrastructure (e.g., model deployment, model evaluation, etc.).
Preferred qualifications:- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience in optimizing ML models for inference.
- Experience compiling for heterogeneous architectures across IPs, including CPU, GPU, and NPUs.
- Experience with hardware-software co-design.
- Experience in MLIR or Low Level Virtual Machine (LLVM).
- Experience in compiler development, particularly in the context of accelerator-based architectures, vector instruction optimizations, or vectorizing compilers.
About the jobEdgeTPU is a family of embedded machine learning (ML) accelerators that aim toward a broad set of applications. The compiler team is responsible for analysis, optimization, and compilation of ML models focusing EdgeTPU.
The US base salary range for this full-time position is $207,000-$300,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities - Work as part of the EdgeTPU compiler team, building ML compilers for EdgeTPU hardware and analyzing and improving the compiler quality and performance on optimization decisions, correctness and compilation time.
- Work with and extend ML authoring frameworks, including JAX, Pytorch to compile ML models for the EdgeTPU.
- Work with ML runtime systems to deploy optimized ML models on the EdgeTPU.
- Work with EdgeTPU architects to design the Hardware/Software (HW/SW) interface, and co-optimizations between CPU, GPU, and TPU.
- Collaborate with ML model developers, researchers, and EdgeTPU hardware/software teams to accelerate the transition from research ideas to user experiences running on the EdgeTPU.
