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 is looking for a Solutions Architect to sit at the intersection of customer needs, technical strategy, and growth - shaping ambiguous opportunities into credible system architectures and executable plans. This role leads technical discovery, defines solution direction and success criteria, and aligns customer and internal teams before and throughout proof-of-concept execution.

Who thrives in this role

Engineering leaders who enjoy turning loosely defined opportunities into real systems.

Technically curious people who can quickly explore unfamiliar domains, identify the important constraints, and synthesize viable architectures.

Architects who combine strong technical judgment with enough hands-on depth to challenge assumptions and guide execution.

Ability to quickly context switch between topics, customers, and workstreams.

A strong technical background is required, whether your experience comes from engineering, research, or technical business roles. You will often lead the earliest technical engagement with a customer and determine where Code Metal can create a differentiated, feasible solution.

Responsibilities

Lead technical discovery with customers, identifying the mission or business problem, system constraints, decision criteria, and the role Code Metal should play in the solution.

Define candidate system architectures and evaluate alternatives through analysis, trade studies, feasibility assessments, and targeted technical spikes.

Translate ambiguous problems into credible technical approaches, system concepts, success criteria, statements of work, and proposal content.

Own the technical shape of proofs of concept (PoCs): scope the work, define interfaces and success criteria, make key architectural decisions, and guide Solutions Engineers through execution.

Design evaluations and PoCs that expose Code Metal's product differentiators and give customers a clear basis for technical and commercial decisions.

Work across growth, Solutions Engineering, Forward Deployed Engineering, product, core engineering, and research to align customer commitments with product capabilities and roadmap direction.

Requirements

Experience leading technical discovery with customers and shaping successful solution architectures, evaluations, or proofs of concept.

Strong technical background in computer science, engineering, physics, or a related field.

Ability to quickly learn about unfamiliar domains and synthesize new technical information.

Strong systems thinking, tradeoff analysis, and problem decomposition skills.

Excellent written and verbal communication skills, including the ability to lead architecture discussions and develop clear technical proposals and statements of work.

Self-starter with an ability to operate independently.

Willingness to travel to customer sites as needed (est. 20%-40% travel)

Great to Have

Experience architecting complex systems that span software, hardware, interfaces, and operational constraints

Broad cross-domain software experience in one or more of the following: C/C++, Rust, Python, Verilog/VHDL, MATLAB, CUDA/OpenCL