Jobs / United States / Astera Labs INC

Astera Labs INC

Senior Software Engineer – AI for RTL Design & Formal Verification

San Jose, California, United States Posted today $160,500

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Skills this job asks for

LLMsTriagePythonMachine learningCI/CD

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 63 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Astera Labs INC paid sponsored hires in similar roles14 certified filings for “Tech Lead Design Verification Engineer” (Electrical Engineers) in CA: $160k–$218k, median $206k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 63 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Astera Labs INC paid sponsored hires in similar roles
14 certified filings for “Tech Lead Design Verification Engineer” (Electrical Engineers) in CA: $160k–$218k, median $206k. Most were filed at wage level IV (70%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Senior Software Engineer – AI for RTL Design & Formal Verification Join Astera Labs' AppliedAI organization, where we're building the connectivity infrastructure that powers AI and cloud data centers. Our team sits at the intersection of digital and analog design, verification, and AI tooling, tackling the complexity of next-generation semiconductor products at the pace our industry demands. We're looking to develop and deploy AI-driven agents that accelerate RTL and physical design, static analysis, and formal verification workflows. The ideal candidate combines a strong ASIC and software engineering background with hands-on exposure to digital or analog design or verification, and is excited to apply LLMs and agentic systems to real chip design problems. What You'll Be Doing 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. Basic Qualifications • 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. Ways to Stand Out • 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 tool

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