Nvidia Hardware Accelerator Design Engineer Jobs

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.

Our Hardware/ Software Co-Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the‑art brain–computer interfaces. Relevant product development experience in micro‑architecture design for low‑power processors, on‑chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.

• Micro-architecture design and RTL implementation of:
  • Low-power digital signal processors
  • Low-power general-purpose hardware accelerators
  • Low-power graphics processing units
  • Low-power radio MAC/PHY
  • Low-power serial link MAC/PHY
• Design and optimization of hardware/software interface with firmware engineers
• Application‑specific architecture optimization including:
  • Complex system modeling for energy and performance benchmarks
  • Workload analysis and modeling
  • Energy/performance profiling and analysis
  • Leveraging architecture-level design trade‑offs with process technology and workload type
  • Balancing cost and performance under manufacturing process variation
• Collaboration on silicon bring‑up tests with verification engineers

• Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
• Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
• Experience designing and implementing embedded software in C or Rust
• Expertise in SystemVerilog, C/C++, Python
• Experience designing and implementing emulation models, transactors, and test environments to replicate hardware behavior
• Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
• Experience in designing digital signal processing pipelines, from algorithm to RTL

• Experience in architecture optimization with process technology customization
• Experience in the verification of complex digital systems, using industry standard tools
• Experience in the physical design of complex digital systems, using industry standard tools
• Experience testing and debugging digital system-on-a-chips
• Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
• Experience automating tool flows
• Experience in processor instruction set architecture design
• Experience in compiler back-end design and customization

The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job‑related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company’s long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full‑time employees.

$151,000 – $261,000 USD

• An opportunity to change the world and work with some of the smartest and most talented experts from different fields
• Growth potential; we rapidly advance team members who have an outsized impact
• Excellent medical, dental, and vision insurance through a PPO plan
• Paid holidays
• Commuter benefits
• Meals provided
• Equity (RSUs) *Temporary Employees & Interns excluded
• 401(k) plan *Interns initially excluded until they work 1,000 hours
• Parental leave *Temporary Employees & Interns excluded
• Flexible time off *Temporary Employees & Interns excluded