The OpportunityAs a member of our AI Application team, you'll own getting the latest AI models running fast and accurately on the GPNPU, from CNN perception models to LLMs and VLAs for automotive, robotics and AI-PC. You'll profile real workloads, write and tune kernels, choose quantization strategies, and build the tools that make model deployment repeatable.
What You'll DoAnalyze and optimize performance on GPNPU
- Deploy and profile models on GPNPU, from vision/perception to LLM/VLM/VLA
- Analyze the accuracy and choose the best quantization scheme
- Write and tune kernels and optimize model compute graphs on GPNPU, balance speed and accuracy
Create efficient flows to convert and deploy models on GPNPU
- Develop efficient tools and flows to speed up the model deployment, including profiling, tracing, visualization tools to find bottlenecks and agentic automation
- Customize open-source model optimization/quantization tools
- Integrate and automate model pruning, sparsification, quantization in the workflow
What Success Looks LikeWithin your first 6-12 months, you'll:
- Deploy 5 new models on GPNPU independently, meeting accuracy targets
- Deliver a 2x speedup on a model through kernel, model compression or dispatch work
- Ship a deployment or an optimization tool the team uses every day
What We're Looking ForRequired- 3+ years experience in AI model deployment or kernel optimization
- BS/MS in CS/CE or related fields
- Strong C/C++ and Python
- Hands-on performance analysis: profilers, roofline/bandwidth reasoning, finding compute vs memory bottlenecks
- Hands-on experience with quantization (PTQ/QAT, int8/int4) and debugging accuracy loss
- Has written performance-critical kernels (CUDA, Triton, OpenCL, SIMD intrinsics or DSP)
Fluent with AI coding agents (e.g. Claude Code, Cursor), and interested in building agent-driven workflows for kernel and model bring-up
Preferred- Hands-on experience in pruning and sparsification
- Solid understanding of accelerator microarchitecture (memory hierarchy, DMA)
- Solid understanding of fixed-point and numerics, mixed precision
- Understanding of compiler code generation and kernel scheduling
What We OfferThe base salary range for this position is $160,000 to $195,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location. In addition to base salary, this role is eligible for equity and a discretionary annual performance bonus as applicable to the role and level.
In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include:
- Medical, dental, and vision insurance from day one - Premiums covered at 99% for Employees
- Company-paid life Insurance
- Voluntary supplemental life insurance
- STD + LTD insurance
- Commuter support including parking or Caltrain reimbursement. Our office is conveniently located within walking distance of the Caltrain station
- FSA + HSA
- Equity with the business
- Paid Parental Leave
- 401(k) Retirement Plan
- Flexible PTO
- Winter holiday shutdown
- Catered lunch each day in our office
- Downtown Burlingame office location, close to shops, cafes, and local amenities
- Collaborative, low-ego culture with significant ownership and impact
- A work culture focused on innovative disruption
If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience.
