Member of Technical Staff, Product
New York$175k - $275kFull-timePosted 2mo ago
About the role
Member of Technical Staff focused on Agentic Reasoning & Core Capabilities to build systems enabling Atlas to reason, plan, use tools, inspect evidence, run workflows, and assist hardware engineers in solving problems that previously required deep expert intervention.
Responsibilities
- Build Atlas's reasoning core - Design and implement agentic planning, tool use, memory, retrieval, self-checking, and workflow execution capabilities for hardware verification, debugging, and optimization.
- Turn expert workflows into an agentic harness - Translate EM, RF, signal integrity, power integrity, lab validation, simulation, and field-repair processes into reusable agent capabilities that work across real customer environments.
- Improve model behavior in production - Develop systems that make Atlas more reliable at following long-horizon tasks, asking the right clarifying questions, grounding answers in evidence, and recovering when tools or assumptions fail.
- Create domain-specific evaluations - Build evals, graders, traces, and diagnostics that measure agent performance on hardware engineering tasks rather than generic chatbot benchmarks.
- Connect models to tools and data - Integrate LLMs, electromagnetic foundation models, retrieval systems, solvers, lab data, design artifacts, and engineering systems of record into coherent end-to-end workflows.
- Ship with customers in the loop - Partner with Product, Go-To-Market, and forward-deployed engineering teams to learn from real deployments and rapidly convert feedback into stronger reasoning systems and core capabilities.
Qualifications
- 5+ years of software engineering, research engineering, or ML systems experience at a venture-backed startup, top technology company, frontier AI lab, or similarly demanding environment.
- Demonstrated experience building LLM-powered systems, agentic workflows, model tooling, evals, retrieval systems, or production AI products.
- Strong software engineering fundamentals and the ability to move fluidly between prototypes, infrastructure, product surfaces, and production services.
- Excellent judgment around model behavior, user experience, reliability, observability, and the failure modes of AI systems.
- Comfort operating in ambiguous problem spaces where the right abstraction is discovered through iteration with users, data, and model behavior.
- Ability to collaborate deeply with researchers, product engineers, electrical engineers, and customer-facing teams.
- Strong communication skills and a track record of driving complex technical projects from idea to shipped capability.
- Self-directed ownership mindset and excitement for building core systems at the frontier of AI and hardware engineering.
- Preferred: Experience with tool-using agents, coding agents, computer-use agents, multi-agent systems, RL/post-training, synthetic data generation, harness engineering, or automated evals.
- Preferred: Experience building AI systems for technical users such as engineers, researchers, analysts, developers, or operators.
- Preferred: Familiarity with hardware engineering, electromagnetic simulation, RF systems, signal integrity, power integrity, EDA tools, lab instrumentation, or manufacturing workflows.
- Preferred: Interest in building AI that operates in the physical world, where correctness, evidence, and engineering judgment matter.
Skills
Required:Agentic reasoningTool integrationEvaluation designSystem reliabilityCross-disciplinary collaboration
Benefits
- 100% of the monthly premiums covered with Aetna medical vision, and dental insurance for you and your dependents
- 401(k) Retirement Plan
- Unlimited PTO
- Lunch every day from local restaurants via Sharebite
- Relocation support provided
Last updated Oct 22, 2026. Interested? Apply on the company site.
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