Senior Platform Engineer, Design Automation

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 196,000 - 310,500 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 12+ yearsEducation: bachelorsSkills: ["Technical communication","Multi-functional leadership","Systems thinking","Ownership"]

Build and operate AI-enabled platform services that support large-scale VLSI semiconductor design workflows. Develop reliable backend services, APIs, data models, event-driven systems, and orchestration for launching, monitoring, debugging, and analyzing design jobs. Create web applications for design workflow execution and operational insights, applying LLMs, RAG, and agent automation. Deliver telemetry, analytics, dashboards, and collaborate with EDA and infrastructure teams to improve productivity and tapeout reliability.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior Platform Engineer, Design Automation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and operate AI-enabled platform services that support large-scale VLSI semiconductor design workflows. Develop reliable backend services, APIs, data models, event-driven systems, and orchestration for launching, monitoring, debugging, and analyzing design jobs. Create web applications for design workflow execution and operational insights, applying LLMs, RAG, and agent automation. Deliver telemetry, analytics, dashboards, and collaborate with EDA and infrastructure teams to improve productivity and tapeout reliability.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Architect, build, and operate AI-enabled platforms for large-scale VLSI workflows.
  • •Develop reliable backend services, APIs, data models, event-driven systems, and workflow orchestration.
  • •Build web applications to launch, monitor, debug, and analyze design jobs.
  • •Apply LLMs, RAG, agents, and automation to accelerate debugging, recommendations, and operational support.
  • •Build telemetry, analytics, and dashboards for workflow health, performance, and result quality, collaborating with EDA and infrastructure teams.

Pay and Benefits

Salary: USD 196,000 - 310,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
  • •12+ years of software engineering experience, including the design and operation of distributed production systems.
  • •Strong Python and JavaScript/TypeScript skills building backend services, APIs, and modern web applications.
  • •Hands-on applied-AI experience using LLMs, RAG, agents, or related technologies.
  • •Strong understanding of system design, databases, reliability, observability, CI/CD, and Linux operations.
Experience:12+ yearsSemiconductor designVLSIDistributed systemsDeveloper toolingWorkflow orchestrationAI/LLMEDA
Education:Bachelor's
Skills:Technical communicationMulti-functional leadershipSystems thinkingOwnership
Tech Stack:PythonJavaScriptTypeScriptLLMsRAGAgentsLinuxCI/CDAPIsEvent-drivenDockerKubernetesTemporalAirflowArgoJenkinsSQLNoSQLKafkaElasticsearch

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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