Senior Hardware Engineer (RTL / High-Level Synthesis)
Summary
Senior engineer building Code Metal's high-level synthesis pipeline: writes C++ and post-HLS optimization passes to turn algorithm descriptions into human-auditable RTL, leverages agentic AI with formal verification, and builds CI/CD with automated RTL simulation and regression testing. Stack: C++, commercial HLS tools (Catapult/Vitis HLS/Stratus), RTL/VHDL, Python.
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.
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Senior Hardware Engineer (RTL / High-Level Synthesis)
Code Metal is in the business of transpiling between different languages. This includes the transpilation tools enabled by AI and modern verification techniques — bridging the gap between algorithm development and deployment to embedded systems.
We are currently looking for a senior hardware/software engineer interested in architecting and expanding our capabilities towards creating production-ready RTL from high-level algorithm descriptions. This role focuses on HLS integration and RTL code generation. You will be joining a team that values technical rigor, ownership, and collaboration across disciplines.
Responsibilities
Develop C++ and post-HLS readability and optimization passes to produce human-auditable RTL
Leveraging Agentic AI and verification capability within Code Metal
Contribute to CI/CD qualification including automated RTL simulation, functional verification, and regression testing
Required Qualifications
3+ years of hands-on experience with writing RTL code or using High-Level Synthesis, including at least one commercial HLS tool (Catapult, Vitis HLS, Stratus, or equivalent)
Solid hardware modeling background regarding fixed-point arithmetic, bit-accurate types, synthesis pragmas and modeling trade-offs
Scripting experience in Python for development, toolchain automation and testing
Strong debugging and problem-solving skills
Experience with simulation and functional verification flows
Preferred Qualifications
Experience using Linux-based development environments
Solid understanding of RTL / VHDL
Understanding of FPGA architectural capabilities and constraints
Knowledge of verification methodologies and testbench development
Experience with DSP algorithms and applications using Python/MATLAB
Nice to Have:
Bonus: Interest in or familiarity with LLM-assisted code transformation and readability tooling
Experience with Git-based development workflows and CI/CD environments
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 arrangement
Relocation assistance for qualifying employees
Wage Transparency - The salary range for this role is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, individual proficiency, skills, experience, and location.
We are an equal opportunity employer. US Citizenship may be required for certain project assignments involving security clearance.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Skills
As published by ashby · 15 questions · 2 written answers
Basics
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