AI coach Tech Lead/Architect
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NVIDIA
NewDesign and implement networking silicon chips, owning micro-architecture definition and RTL implementation through the full implementation flow from synthesis to physical design. Requires a B.Sc. in Electrical Engineering or Computer Engineering and 5+ years of RTL design experience. Strong proficiency in Verilog, SystemVerilog, or VHDL and solid understanding of digital design fundamentals including pipelining, clock domain crossing, and low-power techniques are essential.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is looking for a Senior Chip Design Engineer to join our Network Adapter Silicon group. As a Senior Design Engineer at NVIDIA Networking Silicon team, you will join a group of passionate engineers to design and implement the next generation state-of-the-art Networking Silicon chips. In this position, you will make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!
What you'll be doing:
Work in a combined design and verification team which develops core units within the Networking silicon.
Own micro-architecture definition and RTL implementation of chip blocks/entities according to specifications, performance, timing, area and power requirements.
Drive your design through the full implementation flow — synthesis, timing closure, lint/CDC and physical design constraints — together with the backend teams.
Work closely with multiple teams within organizations such as Architecture, Micro-Architecture, Verification, FW and Post-Silicon validation.
What we need to see:
B.Sc. in Electrical Engineering or Computer Engineering, or equivalent experience.
5+ years of proven experience in RTL design.
Strong knowledge of HDL (Verilog/SystemVerilog/VHDL).
Solid understanding of digital design fundamentals — pipelining, clock domain crossing, arbitration and low-power techniques.
Familiarity with synthesis and static timing analysis is an advantage.
A great teammate with good communication and interpersonal skills.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance and lowest power silicon possible? If so, we want to hear from you. Come, join our Network Adapter Silicon design team and help us build the next chip in this exciting and quickly growing field.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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