Lead applied research in AI-driven formal verification for silicon design at Amazon.
Compensation
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
Responsibilities
Design and build LLM-driven systems for formal verification and design tasks, including proof generation, invariant and lemma discovery, spec-to-RTL refinement, and counterexample analysis
Develop frameworks in Lean 4 (and related tools such as SMT solvers, model checkers and commercial FV engines) that formally check AI-generated artifacts, so they are correct by construction rather than just plausible
Formalize hardware semantics, ISAs and microarchitectural properties in Lean 4 to create machine-checkable foundations for AI agents to reason over
Track and evaluate state-of-the-art AI work (LLM agents, autoformalization, neural theorem proving, reinforcement learning from proof feedback) and turn promising research into production tools
Build benchmarks and evaluation methods that measure AI soundness, proof success rate and engineering impact on real designs
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Apply formal verification to real customer systems, helping formalize specifications, build and check proofs, and improve tooling for Argo to reason about complex architectures and code at scale.
Compensation
The salary for this position is estimated to be $100,000 to $150,000 per year, prorated for the duration of the internship.
Responsibilities
Support forward deployed engineers in deploying and configuring Argo for customers across cloud, on-prem, or hybrid environments.
Help translate customer system data and architecture artifacts into schemas and models that formal methods tools (SMT and SAT solvers, theorem provers) can reason about.
Prototype and evaluate LLM-powered workflows, including prompt design and tool calling, that connect customer data to automated reasoning.
Build and test front-end features and internal tools that make system models, constraints, and verification results understandable and actionable for customers.
Turn what you learn from customer engagements into documentation, product feedback, and contributions to Atalanta’s forward deployment playbook.
Requirements
Bachelor’s program in computer science, software engineering, mathematics, or a related field
Master’s program in computer science, software engineering, mathematics, or a related field
PhD program in computer science, software engineering, mathematics, or a related field
Work alongside forward deployed engineers and applied mathematicians to bring Argo into customer environments and help users apply formal methods to their own systems. This role combines technical skill, user empathy, and clear communication to support missions that matter.
Compensation
The salary for this position is estimated to be $100,000 to $150,000 per year, prorated for the duration of the internship.
Responsibilities
Support forward deployed engineers in deploying and configuring Argo for customers across cloud, on-prem, or hybrid environments
Help translate customer system data and architecture artifacts into schemas and models that formal methods tools (SMT and SAT solvers, theorem provers) can reason about
Prototype and evaluate LLM-powered workflows, including prompt design and tool calling, that connect customer data to automated reasoning
Build and test front-end features and internal tools that make system models, constraints, and verification results understandable and actionable for customers
Turn what you learn from customer engagements into documentation, product feedback, and contributions to Atalanta’s forward deployment playbook
Requirements
Bachelor’s program in computer science, software engineering, mathematics, or a related field
Master’s program in computer science, software engineering, mathematics, or a related field
PhD program in computer science, software engineering, mathematics, or a related field
Focus on understanding customer’s real-world mission needs, designing how Argo is deployed to deliver measurable outcomes, and ensuring successful adoption by users in the field.
Compensation
The salary range for this position is estimated to be $150,000 – $200,000 per year. Employees will also receive a significant equity grant, commensurate with the contribution expected from this role.
Responsibilities
Develop and integrate real-world data schemas with formal methods tools (model checkers, SMT & SAT solvers, theorem provers) to facilitate LLM-powered automated reasoning workflows.
Lead technical product deployment and implementation alongside customers in the field across cloud, on-premise, or hybrid environments.
Ship front-end features that make system models, constraints, and validation results understandable and actionable for customers.
Translate on-the-ground insights into product improvements and help shape Atalanta’s forward deployment playbook.
Collaborate with team members on product architecture and design decisions.
Applied Science IIINewAmazon · Seattle, US
Forward Deployed Engineer InternNewAtalanta · Washington D.C., US