3 дня назад
Lead Software Engineer: AI for Hardware Verification
119 000 - 221 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Software Engineer: AI for Hardware Verification (AI/LLM/RAG): Building AI-enabled software components, LLM-based agents, RAG workflows, and automation services for emulation, prototyping, design bring-up, debug, verification, and validation with an accent on reliability, security, observability, and integration with existing product architecture. Focus on evaluating and securing AI behavior, improving retrieval quality, analyzing failures, and mentoring engineers across distributed development workflows.
Location: San Jose, California, United States; the role is based with the HSV Software team in San Jose.
Annual salary: $119,000–$221,000, plus potential incentive compensation, bonus, equity, and benefits.
Company
provides software, intellectual property, and hardware for the electronics design chain, including chip design, packaging, boards, and complete systems.
What you will do
- Design and develop AI-enabled software components for emulation and prototyping workflows.
- Build LLM-based agents, RAG workflows, and automation services for design bring-up, verification, debugging, and validation.
- Apply secure and responsible AI practices, including data protection, access control, prompt-injection awareness, safe tool use, and auditability.
- Create testing, evaluation, and observability workflows covering regression tests, retrieval quality, model-output review, tracing, and failure analysis.
- Collaborate with internal partners, senior engineers, and managers while serving as a technical resource for less-experienced engineers.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience; typically 4+ years with a Bachelor’s, 2+ years with a Master’s, or PhD-level preparation.
- Strong Python and software engineering fundamentals, including APIs, testing, debugging, maintainability, Unix/Linux, and distributed development workflows.
- Hands-on experience building AI-enabled applications, agentic workflows, or automation services using LLM APIs, open-source models, enterprise AI platforms, and orchestration frameworks.
- Knowledge of RAG and agentic AI patterns, including retrieval, chunking, embeddings, vector or hybrid search, reranking, tool calling, workflow orchestration, human-in-the-loop review, and traceability.
- Ability to evaluate, secure, and debug AI product behavior using golden datasets, regression tests, hallucination checks, prompt and retrieval analysis, observability traces, and quality metrics.
Nice to have
- Experience with version control systems and modern CI/CD practices.
- Experience with C++, Tcl, or JavaScript/TypeScript.
- Knowledge of design verification, emulation, prototyping, or hardware-assisted debug workflows.
- Knowledge of EDA and VLSI design, including Verilog, SystemVerilog, or VHDL.
- Practical AI application security experience, including prompt-injection awareness, safe tool integration, access control, and input/output validation.
Culture & Benefits
- Full-time employment at 40 hours per week.
- Dynamic, fast-paced collaboration with teams around the world.
- Paid vacation and holidays.
- 401(k) plan with employer match and employee stock purchase plan.
- Medical, dental, and vision plan options, plus potential bonus and equity compensation.
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