Quadric.io

Forward Deployed Engineer

Quadric.io$120K — $150K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proficient in C++ and Python for performance-critical applications.
  • Systems-level understanding of performance factors like memory bandwidth and data movement.
  • Demonstrated independent problem-solving ability; must thrive in ambiguous situations.
  • Comfortable operating without established frameworks or guidance.

Responsibilities

  • Convert customer evaluations into design wins by optimizing workloads on Chimera.
  • Port and customize customer workloads, including architecture and profiling tasks.
  • Collaborate with customer engineering teams to debug and achieve performance targets.
  • Lead customer evaluations from initial conversations through to successful design wins.
  • Create reusable development assets and documentation to facilitate future engagements.
  • Collaborate with internal teams to relay customer insights and influence product direction.

Benefits

  • Comprehensive medical, dental, and vision coverage from day one at 99% employer coverage.
  • Company-paid life insurance and optional additional coverage.
  • Support for commuting expenses and proximity to transit stations.
  • Flexible spending accounts (FSA) and health savings accounts (HSA) options.
  • Equity in the company as part of the compensation package.
  • Generous paid parental leave policy.
  • 401(k) retirement plan to support long-term financial goals.
  • Flexible PTO and an extended winter holiday shutdown policy.
  • Daily catered lunch for all employees at the office.
  • A collaborative work culture that values significant employee ownership and impact.
Full Job Description
The Opportunity

You'll own the technical path from customer evaluation to silicon design and win on a genuinely novel architecture, the Quadric Chimera GPNPU, which runs everything from CNNs to LLMs to arbitrary C++ on one core, with no fallback processor. Unlike a FAANG solutions role, you'll work the entire stack: quantization, custom kernels, and compiler and your fingerprints will be on chips that ship in cars, cameras, and network appliances.

At a Series C company, every design win has outsized impact. Our FDEs also build with frontier agentic tooling (Claude Code-based agentic workflows) - you won't just be supporting the product, you'll be inventing how edge-AI field engineering is done.
What You'll Do

Own the Technical Path to Design Win
  • Convert 2-3 active customer evaluations into committed design wins by getting customer workloads running at target latency and accuracy on Chimera.
  • Port customer workloads onto Chimera - architect, adapt, profile, and write custom kernels when required.

Embed with Customer Engineering Teams
  • Work on-site and remotely with customer engineering teams: debug failures, hit benchmark targets, and guide model-architecture tradeoffs.
  • Drive evaluations forward end-to-end, from first technical conversation through design win.

Build the Agentic FDE Toolkit
  • Codify what you learn into reusable assets - SDK skills, porting playbooks, and agentic content - so each subsequent engagement moves faster than the last.
  • Build applications and benchmark collateral that support future customer engagements.

Close the Loop Internally
  • Partner with engineering and product teams to relay customer learnings and shape the roadmap.
  • Contribute skills and playbooks to Quadric's growing agentic FDE toolset.
What Success Looks Like

Within your first 6-12 months, you'll:
  • Convert 2-3 active customer evaluations into committed design wins on the Chimera platform.
  • Build deep fluency across the Chimera stack - quantization, custom kernels, and compiler tooling - well enough to unblock customers independently.
  • Establish reusable SDK skills and porting playbooks that measurably shorten the next engagement's timeline.
  • Become a trusted technical partner to customer engineering teams, known for translating ambiguous requirements into shipped results.
  • Help define and refine Quadric's agentic (Claude Code-based) FDE workflow - there's no existing playbook yet; you'll help write it.
What We're Looking For

Required
  • Strong C++ and Python; has written performance-critical code for a constrained target (DSP, NPU, GPU, or embedded SoC).
  • Systems-level performance intuition - memory bandwidth, data movement, cycle-level reasoning - and can read a profile and know where the time went.
  • High agency and independent problem-solving; methodical and empirical rather than theoretical.
  • Comfortable operating without a playbook and in ambiguity - this role is still being defined.

Preferred
  • Prior FAE, Sales Engineering, or FDE title - or startup experience as the de facto owner of an end-to-end implementation.
  • Familiarity with agentic dev tooling (Claude Code, MCP) - or strong enthusiasm to adopt it.
  • Background at NPU/edge-AI IP and silicon companies (e.g., Qualcomm SNPE/QNN, NVIDIA TensorRT/Jetson field engineering, Ceva, Cadence Tensilica, Synopsys ARC, Arm, Hailo, Ambarella, SiMa.ai, Axelera, EdgeCortix).
  • Background at inference-focused startups (e.g., Groq, Untether, Tenstorrent) in field/customer engineering or kernel teams.
  • Palantir-style FDE experience - candidates with embedded or ML-systems backgrounds only.
  • Experience at technical trading arms optimizing kernels or hardware for speed (e.g., DRW, Hudson River, D.E. Shaw, Citadel).
  • Big-firm consulting background, provided the candidate personally did the hands-on technical work rather than managing it.


What We Offer

The range for this role reflects the typical compensation for the position; actual compensation is determined by a review of market rate alongside qualifications, experience, interview performance, and location. In addition to competitive salary and equity, we offer a variety of benefits to support your needs (US-based offerings; benefits for other locations are shared during the hiring process):
  • Medical, dental, and vision insurance from day one - premiums covered at 99% for employees
  • Company-paid life insurance, plus voluntary supplemental life, STD, and LTD insurance
  • Commuter support, including parking or Caltrain reimbursement - our office is within walking distance of the Caltrain station
  • FSA + HSA
  • Equity in the business
  • Paid parental leave
  • 401(k) retirement plan
  • Flexible PTO and 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

About Quadric.io

Quadric.io is a computer hardware company that specializes in developing high-performance processors for artificial intelligence applications. The company was founded in 2016 and is based in Palo Alto, California. Quadric.io's processors are designed to be highly efficient and scalable, making them ideal for use in data centers and other large-scale computing environments. The company has received significant investment from venture capital firms and has attracted attention for its innovative approach to processor design.
Learn more about Quadric.io
Size
50 employees
Industry

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