Bengaluru, Karnataka, India · Hybrid
The Silicon Co-Design Group (SCG) sits at the crossroads of architecture, design, marketing, operations, and productization. Our work spans early architecture through final product delivery across Datacenter, Gaming, Rob…
Skills: Post-Silicon Validation, System Integration, Platform Debug, GPU Architecture, SoC Architecture
Bengaluru, Karnataka, India · Hybrid
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial int…
Skills: IC Substrate Layout, Cadence APD, Cadence SiP, High-Speed Design, Signal Integrity
Budapest, Central Hungary, Hungary · Hybrid
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Skills: Product Management, UI/UX Design, Cloud Platforms, Agile Methodologies, Product Roadmap Definition
Budapest, Central Hungary, Hungary · Hybrid
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Skills: Product Management, UI/UX Design, Cloud Platforms, Hybrid Cloud, Agile Methodologies
Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · Hybrid
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Skills: Infrastructure Automation, Cloud Operations, Linux Administration, Python, CI/CD
Bengaluru, Karnataka, India · On-site
Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver inn…
Skills: .Net Full Stack Development, HTML, CSS, JavaScript, Backend Development
Bengaluru, Karnataka, India · Hybrid
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice an…
Skills: Pharmacometrics, Model-Informed Drug Development, Quantitative Pharmacology, PK/PD Analysis, R
Bengaluru, Karnataka, India · On-site
Let's create impact beyond tomorrow What awaits you We are looking for a Specialist / Senior Specialist – Digital Operation Center to ensure robust IT/OT systems monitoring & management and operational stability.The role…
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Bengaluru, Karnataka, India · Remote OK
Simbian AI is building the world's first autonomous AI security agent - one that thinks, hunts, and responds like a seasoned security analyst, at machine speed. We're backed by top-tier investors and trusted by security …
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Bengaluru, Karnataka, India · Hybrid
$2500k–$2800k/yr
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · Hybrid
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to de…
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Bengaluru, Karnataka, India · On-site
Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to de…
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Bengaluru, Karnataka, India · On-site
Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-…
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Bengaluru, Karnataka, India · Remote OK
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, a…
Skills: Manual QA Testing, Test Strategy Creation, Cross-browser Testing, Gherkin, BDD
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Lead end-to-end system validation and debug for NVIDIA GPU and SoC programs to identify critical silicon and platform issues. Develop AI-enabled validation workflows and collaborate with global cross-functional teams to ensure product stability and milestone delivery.
Requires a degree in Electronics, Electrical, or Computer Engineering with 8 to 12 years of experience in post-silicon validation for GPU, CPU, or SoC products. Must demonstrate expertise in hardware-software debug and the ability to build and scale AI-driven validation workflows.
The Silicon Co-Design Group (SCG) sits at the crossroads of architecture, design, marketing, operations, and productization. Our work spans early architecture through final product delivery across Datacenter, Gaming, Robotics, Automotive, and Embedded markets. We work closely across functions to deliver chips that change what is possible. System Integration sits at the intersection of all of them. It is the layer where every architecture, design, software, and manufacturing decision meets reality. When something breaks late in a program, it usually breaks here first.
We are hiring a Senior Engineer to lead system validation, debug, and cross-functional alignment on one of our most consequential silicon programs. Your work will sit on the critical path of every flagship build, and the judgment you bring to ambiguous, multi-team failures is the difference between shipping on milestone and slipping! The two hardest, highest-leverage problems in this seat:
Find critical silicon and platform issues before they reach the customer — by shifting validation coverage left with system stress, PVT, and feature-interaction tests that catch escapes before software hardens. Your work shows up in DPPM, escape rate, and ramp confidence.
Build AI-enabled validation as a real capability, not a demo — by deploying debug, triage, root-cause hypothesis generation, and regression workflows with the evals and guardrails that make them trustworthy enough to gate production decisions.
Own end-to-end system validation of NVIDIA GPU, SoC, and platform programs — feature checks, PVT stress, system-stress campaigns at scale, and multi-unit fleet testing.
Lead debug of the hardest cross-stack issues — logic, signal integrity, power delivery, firmware, and software interaction — and drive them to root cause with reusable workarounds and productized fixes.
Develop test plans, scripts, and automation for next-generation chips ahead of physical builds, translating architecture, boot flows, high-speed I/O, and power and thermal dependencies into executable coverage.
Design and deploy AI-enabled debug and validation workflows used by the team — with explicit guardrails (evals, regression validation, false-positive handling) and measurable impact on cycle time, debug velocity, or escape rate.
Translate complex silicon and system risk into decision-ready options for technical and executive audiences — without padding or hand-waving.
Partner with globally distributed teams across silicon design, DFT, firmware, software, manufacturing, and platform engineering — including counterpart engineers in India and other major hubs.
Lead crisis-mode debug task forces when a program is stuck, and convert the learnings into reusable methodology for adjacent programs.
BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering (or equivalent experience), plus 8 to 12 years of post-silicon validation, system integration, or platform debug experience on shipped GPU, CPU, or SoC products.
Hands-on debug depth across silicon, board, and software boundaries — logic design, signal integrity, power delivery, high-speed I/O, and PVT behavior — with strong EE fundamentals across SI/PI, power delivery, and thermal, and a working understanding of GPU, CPU, or SoC architecture across PC, Datacenter, or Automotive.
At least one specific example of taking an ambiguous, multi-team failure to root-cause closure with a productized fix, and a track record of leading a project team end-to-end through a real crisis with decision points you owned.
Demonstrated AI-driven validation workflow you built or scaled, not just used — with adoption beyond yourself and measurable impact on debug velocity, coverage, or escape rate. You can describe the guardrails you put in place and where AI is dangerous in your workflow.
A history of building reusable validation methodology, debug playbooks, or test frameworks that were adopted by other programs or teams — backed by patents, conference papers, invited talks, or recognized contributions.
Hands-on subsystem depth in HBM, SerDes or high-speed I/O, power and thermal, or advanced packaging — failure modes, debug instrumentation, and the tradeoffs that show up in production.
Experience partnering deeply with a counterpart team in India or another major engineering hub — examples of shared culture, shared metrics, and shared on-call across geographies.
AI work that goes beyond personal-copilot use — agentic workflows, RAG-grounded debug assistants, regression bucketing, or automated triage deployed at team scope with adoption metrics.
NVIDIA is the world leader in accelerated computing, and our work powers AI, gaming, robotics, autonomous systems, and scientific discovery. We invest in our people with competitive benefits, flexible time off, and continuous learning, and we build a team where everyone can do their best work. Come help us build chips that change what is possible!
#LI-Hybrid
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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