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Code Metal

Forward Deployed Engineer

Code Metal

Forward Deployed Engineer at Code Metal translating complex algorithms into production-ready implementations on specialized hardware. Collaborating with customers for deployments in high-stakes environments.

Posted 4/29/2026full-timeRemote • California, Massachusetts • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies
PythonRust

About the role

Key responsibilities & impact
  • Own end-to-end deployment of customer solutions. From initial problem framing through production implementation, you are accountable for delivering working systems on target hardware.
  • Work directly with customer engineers and stakeholders. Understand algorithmic requirements, system constraints, and success criteria, and translate them into actionable technical solutions.
  • Translate algorithms into optimized implementations. Take DSP, RF, communications, or other compute-heavy pipelines and deploy them efficiently onto GPUs, FPGAs, and other accelerators using Code Metal’s platform.
  • Optimize performance under real-world constraints. Profile, debug, and tune systems for latency, throughput, memory, and power across heterogeneous compute environments.
  • Debug across the full stack. Identify and resolve issues spanning algorithms, software, hardware, and toolchains in complex deployment environments.
  • Collaborate cross-functionally. Partner with product and engineering teams to improve the platform based on field learnings and unblock customer deployments.
  • Operate with a “whatever it takes” mindset. Navigate ambiguity, unblock critical issues, and do what is required to move deployments forward in high-stakes environments.
  • Build reusable patterns and playbooks. Capture learnings from deployments to improve repeatability and scale across customers.
  • Support on-site deployments. Travel as needed (30-75% depending on the customer) to integrate, test, and validate systems in real-world environments.

Requirements

What you’ll need
  • Own end-to-end deployment of customer solutions. From initial problem framing through production implementation, you are accountable for delivering working systems on target hardware.
  • Work directly with customer engineers and stakeholders. Understand algorithmic requirements, system constraints, and success criteria, and translate them into actionable technical solutions.
  • Translate algorithms into optimized implementations. Take DSP, RF, communications, or other compute-heavy pipelines and deploy them efficiently onto GPUs, FPGAs, and other accelerators using Code Metal’s platform.
  • Optimize performance under real-world constraints. Profile, debug, and tune systems for latency, throughput, memory, and power across heterogeneous compute environments.
  • Debug across the full stack. Identify and resolve issues spanning algorithms, software, hardware, and toolchains in complex deployment environments.
  • Collaborate cross-functionally. Partner with product and engineering teams to improve the platform based on field learnings and unblock customer deployments.
  • Operate with a “whatever it takes” mindset. Navigate ambiguity, unblock critical issues, and do what is required to move deployments forward in high-stakes environments.
  • Build reusable patterns and playbooks. Capture learnings from deployments to improve repeatability and scale across customers.
  • Support on-site deployments. Travel as needed (30-75% depending on the customer) to integrate, test, and validate systems in real-world environments.
  • **Preferred Qualifications:**
  • 7+ years of experience in software engineering, systems engineering, or applied algorithm development
  • Strong programming ability in at least one of: Python, C++, CUDA, Matlab, VHDL, Verilog, or Rust
  • Hands-on experience with one or more of the following: GPU programming, FPGA development, embedded systems, or edge compute environments
  • Experience working with compute-intensive workloads (DSP, RF, communications, computer vision, etc.)
  • Demonstrated ability to optimize and deploy software on specialized or constrained hardware
  • Ability to debug complex systems across software and hardware boundaries
  • Strong problem-solving skills and ability to operate effectively in ambiguous, fast-moving environments
  • Comfort working directly with customers and communicating technical concepts clearly
  • Willingness to travel to customer sites (30-75%)
  • Eligible to obtain and maintain an active U.S. Top Secret security clearance

Benefits

Comp & perks
  • Pay depends on experience, but we strive to be at the upper end of the salary range
  • Health care plan with 100% premium coverage, including medical, dental, and vision
  • 401k with 5% matching
  • Paid Time Off (uncapped vacation, plus sick and public holidays)
  • Flexible hybrid or remote work, with significant travel (30-75%) for deployments
  • Relocation assistance for qualifying employees

ATS Keywords

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Hard Skills & Tools
PythonC++CUDAMatlabVHDLVerilogRustGPU programmingFPGA developmentembedded systems
Soft Skills
problem-solvingcommunicationcollaborationadaptabilityoperational mindset
Certifications
U.S. Top Secret security clearance