A
Astera Labs
Senior Software Engineer
Skills
Data EngineeringPythonGitMachine LearningAI
2 months ago
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Important information
Salary:
$160,500 – $200,000 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
7 October 2026
What they need
Who you are
- Bachelor's, Master's degree in Electrical Engineering, Computer Science/Engineering, or equivalent experience
- 4-10 years of industry experience in software engineering, with direct exposure to RTL design, static/lint verification, or formal verification methodologies
- Proficiency in Python for rapid prototyping, with strong fundamentals in data structures, algorithms, and software engineering practices
- Experience with LLMs, including fine-tuning, building multi-agent systems, RAG pipelines, and vector databases
- Familiarity with RTL design languages (Verilog/SystemVerilog) and formal/static verification tools (e.g., JasperGold, VC Formal, or similar) is strongly preferred
- Strong analytical, communication, and interpersonal skills, with a proven ability to work effectively in a fast-paced, cross-functional startup environment
- A proactive, self-directed approach to problem-solving and comfort operating with ambiguity
- Direct experience applying AI/ML techniques to EDA or CAD flow problems
- Proficiency in modern software engineering practices, including version control, testing, and CI/CD
- Experience with formal property verification, assertion-based verification (SVA), or static timing/lint tools
- A track record of learning across disparate domains (AI/ML and hardware design) and combining them into novel engineering solutions
What the job involves
- Design, develop, and deploy AI applications using LLMs, agentic frameworks, and related technologies to support RTL, physical and analog design, static/lint checking, and formal verification flows
- Build infrastructure to deploy LLM-powered engineering assistants and multi-turn dialogue systems that help designers and verification engineers debug faster and close coverage sooner
- Develop agentic AI solutions for tasks such as RTL rule and lint checking, RTL optimization, bug triage, formal proof convergence, and static verification report analysis; fine-tune and integrate these solutions with existing CAD/EDA flows
- Build and maintain design databases and dashboards that combine agentic and deterministic retrieval to surface relevant engineering data and speed up design closure
- Collaborate closely with RTL design, DV, formal verification, and CAD/EDA teams to understand pain points and translate them into AI-assisted tooling
Benefits
- Flexible time off in the US
- Parental leave
- Competitive medical, dental and vision plans
- 401K
- Retirement and pension plans
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