CM
Forward Deployed Engineer
Accepting applicationsCode Metal · Boston, MA
Full-Time Mid_senior ASICC++FPGAMatlabPython
Posted
16 Apr
Category
Test
Experience
Mid_senior
Country
United States
About Code Metal
Code Metal is redefining code translation for mission-critical industries, helping partners move more quickly and reliably from algorithm to silicon. Our platform accelerates deployment of DSP, RF, communications, and embedded signal processing algorithms onto heterogeneous compute targets, including GPUs, FPGAs, ASICs, and edge SoCs. We support automotive, aerospace, defense, and semiconductor partners deploying complex algorithms onto constrained hardware with speed and rigor.
We are hiring a Forward Deployed Engineer (FDE) who will be a critical bridge between our platform and real-world deployments—working directly with customers to translate complex algorithms into production-ready implementations on specialized hardware.
The Role
Code Metal operates at the intersection of advanced algorithms and specialized hardware, where successful deployment requires both deep technical execution and close collaboration with customers. We're looking for a Forward Deployed Engineer who can take ownership of delivering real-world outcomes: translating complex signal processing and compute workloads into performant implementations on GPUs, FPGAs, and edge systems.
This is not a purely internal engineering role. You will work directly with customer teams—often in high-stakes, mission-critical environments—to understand their constraints, debug complex issues, and ensure successful deployment. You will operate with high autonomy, owning problems end-to-end from initial scoping through production delivery.
Requirements
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
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
Show more Show less
Code Metal is redefining code translation for mission-critical industries, helping partners move more quickly and reliably from algorithm to silicon. Our platform accelerates deployment of DSP, RF, communications, and embedded signal processing algorithms onto heterogeneous compute targets, including GPUs, FPGAs, ASICs, and edge SoCs. We support automotive, aerospace, defense, and semiconductor partners deploying complex algorithms onto constrained hardware with speed and rigor.
We are hiring a Forward Deployed Engineer (FDE) who will be a critical bridge between our platform and real-world deployments—working directly with customers to translate complex algorithms into production-ready implementations on specialized hardware.
The Role
Code Metal operates at the intersection of advanced algorithms and specialized hardware, where successful deployment requires both deep technical execution and close collaboration with customers. We're looking for a Forward Deployed Engineer who can take ownership of delivering real-world outcomes: translating complex signal processing and compute workloads into performant implementations on GPUs, FPGAs, and edge systems.
This is not a purely internal engineering role. You will work directly with customer teams—often in high-stakes, mission-critical environments—to understand their constraints, debug complex issues, and ensure successful deployment. You will operate with high autonomy, owning problems end-to-end from initial scoping through production delivery.
Requirements
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
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
Show more Show less
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