Quadric
Forward Deployed Engineer
$170K–$230K
USA +1 · Remote · Full-time · Posted Oct 27, 2026
- Location
- USA
Canada - Visa sponsorship
- Quadric participates in E-Verify to confirm employment eligibility for U.S.-based roles.
About the job
Own customer evaluations of Quadric’s Chimera GPNPU, porting and optimizing workloads to achieve target performance and turn evaluations into design wins.
What you'll do
- Port, profile, and optimize customer workloads, including writing custom kernels when needed.
- Work with customer engineering teams to debug issues, meet benchmarks, and guide model-architecture tradeoffs.
- Create reusable SDK skills, porting playbooks, and benchmark materials; share customer learnings with internal teams.
What they ask for
- Strong C++ and Python; performance-critical code experience on a constrained target such as a DSP, NPU, GPU, or embedded SoC.
- Systems-level performance intuition, including memory bandwidth, data movement, and cycle-level reasoning.
- High agency and independent, methodical, empirical problem-solving.
- Comfort operating amid ambiguity and 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 development tools such as Claude Code or MCP, or strong enthusiasm to adopt them.
Pay
$170,000 to $230,000 USD base salary
Tools
C++, Python, DSP, NPU, GPU, embedded SoC, Claude Code, MCP
AI focus
Enable customer AI and other workloads on the Chimera GPNPU, including neural network inference; port and optimize models and develop custom kernels. Build agentic FDE workflows using Claude Code–based tooling.
Model-written summary · the original posting is authoritative