About Code Metal

Code Metal is the leader in automated software engineering you can trust. As AI writes more of the world's code, the bottleneck in software has shifted from writing code to verifying it works, and AI cannot verify its own work with certainty. Code Metal takes a fundamentally different approach: constrain AI to what it does reliably, verify every step independently of the model using formal methods, and keep engineers in the loop on the decisions that matter. The result isn't code that probably works — it's code that is provably correct, with auditable proof. Customers including the U.S. Air Force, L3Harris, RTX, and Toshiba use Code Metal to modernize legacy code, optimize performance on real hardware, and move prototypes to production, fast. Founded in 2023 with offices in Boston and San Francisco, Code Metal is funded by Accel, Salesforce Ventures, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others.

Learn more at codemetal.ai.

Code Metal operates at the intersection of advanced algorithms and specialized hardware, where successful deployment requires deep technical execution close to the customer. We’re looking for a Forward Deployed Engineer who owns the last mile from validated solution to reliable fielded capability: integrating, optimizing, debugging, and operating customer workloads 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 integrate into real systems, resolve deployment blockers, and ensure successful production delivery. You will operate with high autonomy and remain accountable until the capability works reliably in the customer environment.

Requirements

Own end-to-end deployment of validated customer solutions. From implementation and integration through production acceptance, you are accountable for delivering reliable working systems on target hardware.

Work directly with customer engineers and operators to integrate into their environment, understand operational constraints, and close gaps between a validated solution and production use.

Productionize and optimize implementations. Take validated DSP, RF, communications, or other compute-heavy pipelines and make them reliable, performant, testable, and deployable on 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 Solutions Engineers, Solutions Architects, product, and core engineering to resolve field issues, harden reusable capabilities, and feed deployment learnings into the platform.

Operate with a high-ownership mindset. Navigate ambiguity, unblock critical issues, and do what is required to move deployments forward in high-stakes environments.

Build reusable deployment patterns and playbooks. Capture integration, test, observability, and operational learnings so future deployments become more repeatable and supportable.

Support on-site deployments. Travel as needed (30-75% depending on the customer) to integrate, test, and validate systems in real-world environments.

Eligible to obtain and maintain a U.S. security clearance; some assignments may require an active Top Secret clearance.

Preferred Qualifications

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.)