Quadric
Forward Deployed Engineer
$170K–$230K
Burlingame, CA (HQ) +1 · Hybrid · Full-time · Posted Oct 27, 2026
- Location
- Burlingame, CA (HQ)
Canada - Visa sponsorship
- Quadric participates in E-Verify to confirm employment eligibility for U.S.-based roles.
About the job
Own customer workload evaluations on Quadric’s Chimera GPNPU, from porting and performance tuning through design wins, while building reusable field-engineering tools and feeding customer insights back to product and engineering.
What you'll do
- Port, profile, and optimize customer workloads on Chimera, including writing custom kernels when needed.
- Work with customer engineering teams to debug issues, meet benchmark targets, and drive evaluations to design wins.
- Create reusable SDK skills, porting playbooks, applications, and benchmark materials; share customer learnings internally.
What they ask for
- Strong C++ and Python skills, including performance-critical code for a constrained target such as a DSP, NPU, GPU, or embedded SoC.
- Systems-level performance intuition, including memory bandwidth, data movement, cycle-level reasoning, and profile analysis.
- High agency and independent, methodical, empirical problem-solving.
- Comfort working amid ambiguity without an established playbook.
Nice to have
- Prior FAE, Sales Engineering, or FDE experience, or startup experience owning an end-to-end implementation.
- Familiarity with agentic developer tooling such as Claude Code or MCP, or strong enthusiasm to adopt it.
Pay
$170,000 to $230,000 USD base salary
Tools
C++, Python, Chimera, Claude Code, MCP
AI focus
Port and optimize neural-network workloads, including CNNs and LLMs, for edge inference on the Chimera GPNPU; use Claude Code–based agentic workflows and build reusable agentic FDE tools.
Model-written summary · the original posting is authoritative