Senior Software Engineer- AI for RTL Design & Formal Verification

Reposted 7 Hours Ago
Be an Early Applicant
San Jose, CA, USA
In-Office
161K-200K Annually
Senior level
Big Data • Information Technology
The Role
Design, develop, and deploy LLM-powered agentic applications for RTL, physical and analog design, linting, static analysis, and formal verification. Build engineering assistants, dialogue systems, retrieval infrastructure, databases, and dashboards integrated with CAD/EDA workflows. Collaborate with hardware design, design verification, formal verification, and CAD teams to identify challenges and deliver AI-assisted tools. Apply software engineering and AI/ML expertise to accelerate debugging, coverage closure, lint analysis, RTL optimization, and formal proof convergence.
Summary Generated by Built In

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 tools.
  • A track record of learning across disparate domains (AI/ML and hardware design) and combining them into novel engineering solutions.

Salary range is $160,500 to $200,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits.


We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Skills Required

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience
  • 4–10 years of industry experience in software engineering
  • Direct exposure to RTL design, static/lint verification, or formal verification methodologies
  • Proficiency in Python
  • Strong fundamentals in data structures, algorithms, and software engineering practices
  • Experience with LLMs, including fine-tuning, multi-agent systems, RAG pipelines, and vector databases
  • Familiarity with Verilog or SystemVerilog and formal/static verification tools such as JasperGold or VC Formal
  • Strong analytical, communication, and interpersonal skills
  • Ability to work effectively in a fast-paced, cross-functional startup environment
  • Proactive, self-directed approach to problem-solving and comfort operating with ambiguity
  • Experience applying AI/ML techniques to EDA or CAD flow problems
  • Modern software engineering practices, including version control, testing, and CI/CD
  • Experience with formal property verification, assertion-based verification, or static timing/lint tools
  • Ability to combine AI/ML and hardware design expertise into novel engineering solutions

Astera Labs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Astera Labs and has not been reviewed or approved by Astera Labs.

  • Healthcare Strength — Health plans are described as competitive and employer-subsidized, covering medical, dental, and vision for employees and dependents. Company materials and listings consistently emphasize strong core healthcare coverage.
  • Leave & Time Off Breadth — Flexible time off is highlighted alongside paid company holidays, with guidance indicating generous PTO when coordinated with teams. Documented policies also point to robust time-off structures across locations.
  • Equity Value & Accessibility — Stock-based compensation is a meaningful part of total pay, with RSUs and an employee stock purchase plan noted as part of the package. Public-company status enhances perceived value and accessibility of equity components.

Astera Labs Insights

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The Company
HQ: San Jose, CA
148 Employees
Year Founded: 2017

What We Do

Astera Labs Inc., a fabless semiconductor company headquartered in the heart of California’s Silicon Valley, is a leader in purpose-built connectivity solutions for data-centric systems throughout the data center. Partnering with leading processor vendors, cloud service providers, seasoned investors, and world-class manufacturing companies, Astera Labs is helping customers remove performance bottlenecks in data-intensive systems that are limiting the true potential of applications such as artificial intelligence and machine learning. The company’s product portfolio includes system-aware semiconductor integrated circuits, boards, and services to enable robust CXL, PCIe, and Ethernet connectivity.

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