Senior CAD Engineer

NVIDIA
India
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Systems thinking","Mentoring","Project leadership","Debugging","Technical standards"]

Own infrastructure powering semiconductor design flows at NVIDIA, coordinating hundreds of thousands of jobs daily across global datacenters. Design scalable platform components, define interfaces and data models, and modernize legacy Perl/Python services. Debug and improve production systems across web interfaces, containerized microservices, and Linux hosts. Analyze telemetry to improve EDA workflows, mentor engineers, and contribute to next-generation semiconductor methodology.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior CAD Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own infrastructure powering semiconductor design flows at NVIDIA, coordinating hundreds of thousands of jobs daily across global datacenters. Design scalable platform components, define interfaces and data models, and modernize legacy Perl/Python services. Debug and improve production systems across web interfaces, containerized microservices, and Linux hosts. Analyze telemetry to improve EDA workflows, mentor engineers, and contribute to next-generation semiconductor methodology.
Location: India
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and support mechanisms for coordinating large-scale semiconductor design tasks across global datacenters.
  • •Own the architecture of platform components, defining interfaces, data models, and service boundaries.
  • •Modernize legacy services by evaluating Perl/Python backends, proposing migration strategies, and driving execution.
  • •Debug and improve production services across web browsers, containerized microservices, and bare-metal Linux hosts.
  • •Build web interfaces to configure and analyze EDA tools and use telemetry data to improve flows and catch regressions.

Key Requirements

  • •Bachelor's or master's degree in computer science or computer systems engineering (or equivalent experience).
  • •5+ years of software engineering experience delivering production systems.
  • •Strong software architecture and design skills, including defining service boundaries, APIs, and data models.
  • •Proficiency in Python and/or Perl, with comfort in JavaScript and web technologies.
  • •Experience with distributed systems and leading projects end-to-end (requirements through maintenance).
Experience:5+ yearsSemiconductorDistributed systemsInfrastructure engineering
Education:Bachelor's
Skills:Systems thinkingMentoringProject leadershipDebuggingTechnical standards
Tech Stack:PerlPythonReactElasticsearchJavaScriptJenkins-like CI/CDLinuxAirflowArgoTemporalLuigiDockerKubernetesKibanaVegaMSSQLMySQLSQLiteMicroservicesEDA tools

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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