Solutions Engineer
- Boston Hub | Remote | San Franscisco Hub
- Remote
- Technology & Solutions
- FullTime
- Posted 1 months ago
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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.
Solutions Engineer
Code Metal is looking for a Solutions Engineer to sit at the intersection of engineering, prototyping, and customer growth - turning promising opportunities into working technical systems. You'll be a hands-on bridge between our platform and real-world use, building and validating customer solutions through proofs of concept and early development, then helping transition successful work toward repeatable production use.
Who thrives in this role:
Engineers who enjoy turning loosely defined customer problems into working systems.
Technically curious people who can quickly explore unfamiliar domains, prototype approaches, and turn what they learn into working solutions.
Hands-on builders who combine strong technical judgment with rapid execution and follow-through.
Comfortable owning the technical execution of a customer problem - from a scoped opportunity through a validated proof of concept and early deployment.
Thrive in open-ended environments and can context-switch quickly across technical domains.
Willing to learn quickly and go deep when a customer problem demands it.
A strong technical background is required, whether your experience comes from engineering, research, or other technical roles. You'll often be among the first engineers to prove how Code Metal's technology can solve a new customer problem in practice.
Responsibilities:
Turn scoped customer opportunities into working technical solutions that demonstrate how Code Metal's technology can be applied in real-world systems.
Work with customer engineers and stakeholders to understand development needs, system constraints, and success criteria, then translate them into executable implementation plans.
Rapidly investigate unfamiliar technical domains and de-risk solution paths through hands-on prototyping, integration, and feasibility testing.
Build and lead proofs of concept (PoCs), working with Solutions Architects, product, engineering, and customer teams to turn an agreed approach into a validated system.
Implement complex algorithms and compute-heavy pipelines (DSP, RF, communications, and similar workloads) on GPUs, FPGAs, and edge systems using Code Metal's platform.
Profile, debug, and tune PoCs and early deployments for latency, throughput, memory, and power across heterogeneous compute environments.
Debug across heterogeneous systems (CPU/GPU/FPGA), identifying and resolving issues spanning algorithms, software, hardware, and toolchains.
Use PoCs and technical demos to make Code Metal's product differentiators concrete and measurable for customers.
Capture reusable code, integration patterns, and playbooks from successful PoCs so future customer work can move faster.
Support early integration and validation as needed, partnering with Forward Deployed Engineers when work transitions into sustained deployment or production.
Work across Solutions Architecture, Forward Deployed Engineering, product, core engineering, research, and growth, feeding technical learnings back into the platform and customer strategy.
Requirements:
Strong background in computer science, systems engineering, electrical engineering, physics, or a related technical field.
Ability to quickly learn unfamiliar domains and turn new technical information into practical experiments and implementations.
Strong analytical thinking, problem decomposition, and hands-on prototyping skills.
Demonstrated ability to debug complex systems across software and hardware boundaries.
Excellent written and verbal communication skills, with the ability to explain implementation tradeoffs and technical results clearly to customers and internal teams.
Self-starter who can operate independently and effectively in ambiguous, fast-moving environments.
Willingness to travel occasionally to customer sites as needed (est. 10%-20% travel)
Great to Have:
Experience designing or architecting complex technical systems.
Broad cross-domain software experience in one or more of: C/C++, Rust, Python, Verilog/VHDL, MATLAB, CUDA/OpenCL.
Hands-on experience with GPU programming, FPGA development, embedded or edge systems, especially where software, hardware, and physical systems intersect.
Experience with compute-intensive workloads such as DSP, RF, communications, or computer vision.
Experience working with U.S. Government programs or dual-use technologies.
Active U.S. security clearance (Secret or Top Secret), or eligibility to obtain one.
Level Expectations by Track
This role is open at Senior, Staff, or Principal level. The expectations below describe how scope, ownership, and technical leadership differ by level; candidates are evaluated against the level they are hired into.
Senior:
Years of Experience: 5+
Engineering Craft & Code Quality: Writes clean, idiomatic, well-tested code/output and follows best practices; drives debugging of the team's hardest issues; ensures AI-assisted work is correct, modular, and fully tested.
Architecture & Technical Knowledge: Designs and implements changes to single systems, collaborates on larger designs, and drives architecture reviews for multi-developer projects.
Delivery, Scoping & De-risking: Works with Product to scope and de-risk work; provides reliable estimates for medium-sized projects with clear risk communication.
Technical Leadership & Mentorship: A go-to technical reviewer for the team's codebase; mentors and onboards teammates; contributes to interviews and candidate experience.
Staff:
Years of Experience: 7+
Engineering Craft & Code Quality: Defines and enforces the team's testing strategy, standards, and quality bar; ensures AI-generated output is tightly integrated into existing paradigms and robustly tested.
Architecture & Technical Knowledge: Designs cross-cutting changes across the stack; provides architectural guidance across the team; owns design docs for major multi-service or multi-surface projects.
Delivery, Scoping & De-risking: Owns technical scoping and execution strategy for complex, multi-sprint initiatives; audits requirements for tech
What AI SE roles pay
- 25th pct
- $151k
- Median
- $190k
- 75th pct
- $225k
Based on 600 live roles on SVGTM that disclose pay, converted to USD.
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