ASIC Design Engineer New Grad
NVIDIA
ASIC Design Engineer New Grad
NVIDIA
Designs the chips and software that power AI
NVIDIA is seeking ASIC Design Engineers to implement the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing!
What you'll be doing:
As a key member of the GPU Design team, you will implement, document and deliver high performance, area and power efficient RTL to achieve design targets and specifications.
Analyze architectural trade-offs based on features, performance requirements and system limitations.
Craft micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design.
Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.
Work on a broad list of IPs such as GPU's work scheduler, time distribution system, interrupt controllers, and DMA engines.
Architect features to help silicon debug and support post-silicon validation activities.
What we need to see:
Bachelors Degree or equivalent experience in Electrical Engineering, Computer Engineering or Computer Science.
Experience in micro-architecture and RTL development (Verilog).
Good understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis.
Exposure to Digital systems and VLSI design, Computer Architecture, Computer Arithmetic is required.
Strong interpersonal skills and an excellent teammate.
Ways to stand out from the crowd:
Strong C/C++, Python or Perl skills.
Good debugging and analytical skills.
Experience with arbiters, scheduling, synchronization & bus protocols, interconnect networks, caches
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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