NVIDIA is seeking a highly motivated Hardware Engineer to join our dynamic and fast-paced Silicon Solutions Group! Artificial intelligence is changing the world significantly starting with the technologies used in our day to day lives, cars we drive, autonomous machines in agriculture farms & factories, smart cities and science & technology development activities. GPUs are providing spectacular speed ups to scientific and medical research, enabling the advancement of humanity like never before. There has never been a more exciting time to work in NVIDIA.
As part of the Silicon Solutions Team, we architect and deliver groundbreaking solutions for productizing NVIDIA's chips into consumer, professional, server, mobile, and automotive markets. Silicon characterization, correlation to arch & design expectations, finalize product specifications, develop productization techniques and infrastructure around it are part of our responsibilities. Dealing with challenges of the cutting edge process node technologies is also part of the work.
What you'll be doing:
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Work with various Arch & Design teams to come up with test plans of new features.
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Collaborate with other validation &bring up teams to bring up/characterize silicon power and power saving features.
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Work with design & estimation teams to correlate with pre-silicon expectations.
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Work with HW and SW teams to do the vital tuning and optimization of silicon power.
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Develop power consumption models to be used in binning, productization and customer application notes.
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Characterize and develop various power control mechanisms together with Arch/Design/SW teams.
What we need to see:
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B. Tech or M. Tech in Electronics Engineering stream.
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3+ years of experience in related field
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Strong understanding of aspects related to silicon power and performance, technology node impacts, Hardware and Software interactions at system level.
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Hands-on experience with silicon bring up, validation and productization
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Good knowledge in board and system design considerations, Power supply design.
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Very good problem solving and hardware debugging skills.
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Very good data analysis and logical reasoning skills.
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Strong familiarity with HW lab environment and understanding of various lab equipment.
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Experience in working with windows. Linux exposure is highly preferred.
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An understanding of PC architecture and various commonly used buses.
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Working experience with scripting languages like perl and/or python is a plus point.
With competitive salaries, generous benefits package and an outstanding culture, we are widely considered to be one of the technology world’s most desirable employers. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”