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Overview
- 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 intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
- NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world.
- This is our life’s work , to amplify human creativity and intelligence.
- As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
- Come join our diverse team and see how you can make a lasting impact on the world! What you’ll be doing: You will design, implement, and verify FPGA prototypes of the industry's leading Nvidia's AI Processors, GPUs, Networking chips, and SoCs.
- This is a role for a versatile engineer that includes RTL design, verification, FPGA partitioning and implementation, and lab-based bringup of the SoC on FPGAs.
- This position requires a wide range of skills and exceptional problem-solving ability.
- You will work closely with architects, designers, software engineers, and verification teams to accomplish your goals.
- If you thrive in a dynamic environment and enjoy collaborating across diverse engineering teams to satisfy multiple customers' needs, then this high-visibility position is right for you.
- In this role, you will also leverage cutting-edge industry AI models and agents to optimize your day-to-day hardware development and validation cycles, keeping your workflows highly efficient and automated.
- What we need to see: Education & Experience: B.S.
- in EE, CS, or CE with 3+ years of experience working in the semiconductor industry.
- FPGA Expertise: Recent hands-on FPGA experience including partitioning (Protocompiler), implementation, synthesis (Synplify), and timing closure (Vivado).
- Proven ability to architect, implement, and verify modules for FPGA interconnect.
- Verification & Lab Debug: Strong simulation-based verification and lab-based debug skills on FPGAs.
- Hands-on experience with lab FPGA debug methodologies (such as ChipScope, Identify, or similar) and lab equipment (such as oscilloscopes and logic analyzers).
- Software & Scripting: Proficient in Verilog, SystemVerilog, Python , Perl, and Make.
- Must be comfortable working in both Linux and Windows environments.
- Infrastructure: Experience with a source control system, such as Perforce.
- AI & Automation: Demonstrated experience utilizing AI assistants, LLMs, and automation tools to optimize day-to-day engineering tasks and streamline complex development workflows.
Sourced directly from NVIDIA’s career page
Your application goes straight to NVIDIA.
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Specialisation
Salary range
₹4-9 LPA to ₹32-55 LPA
Open roles at NVIDIA
107 positions
Job ID
/job/India-Bengaluru/FPGA-Prototyping-and-Emulation-Engineer_JR2020377
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