RTL Design Engineer, Networking / NoC

We’re looking for an RTL Design Engineer to help design and develop next-generation AI accelerator silicon. In this role, you’ll work across architecture, microarchitecture, and RTL implementation, translating complex system and performance requirements into efficient, scalable hardware designs.

You’ll collaborate closely with silicon architects, hardware and software engineers, verification, and physical design teams to co-design hardware solutions optimized for demanding AI workloads. This is a hands-on engineering role with opportunities to influence architectural decisions, drive microarchitecture development, and own RTL design from early concept through implementation and integration.

We’re particularly interested in engineers with experience in Network-on-Chip (NoC), networking, interconnect architectures, or high-performance data movement, though the role encompasses broader RTL design and hardware co-design challenges.

In this role, you will:

• Design and implement high-performance RTL for next-generation AI accelerator silicon, from microarchitecture definition through implementation and integration.
• Collaborate with architecture and software teams to translate system-level requirements into efficient hardware microarchitectures.
• Drive hardware/software co-design efforts to optimize performance, power, area, and scalability for AI workloads.
• Develop and optimize RTL for complex datapaths, control logic, interconnects, and other critical silicon subsystems.
• Evaluate architectural and microarchitectural tradeoffs across bandwidth, latency, throughput, and resource utilization.
• Partner with design verification and formal verification teams to ensure functional correctness, develop verification strategies, and debug complex design issues.
• Work closely with physical design teams to optimize RTL for synthesis, timing closure, power, and area.
• Contribute to architecture reviews, design specifications, and cross-functional discussions to influence future silicon designs.
• Support block-level and SoC-level integration, debugging, and performance optimization.

• Have strong hands-on experience with ASIC RTL design and microarchitecture development using SystemVerilog or Verilog.
• Have experience designing and implementing complex digital hardware blocks, from architecture and specification through RTL development and verification.
• Understand hardware architecture and microarchitecture tradeoffs, including performance, power, area, latency, and throughput.
• Have experience collaborating across architecture, software, verification, and physical design teams to develop optimized hardware solutions.
• Can reason about complex hardware systems, identify performance bottlenecks, and translate architectural requirements into efficient RTL implementations.
• Have experience with synthesis, timing closure, and physical implementation considerations.
• Enjoy working on ambiguous, technically challenging problems and taking ownership of designs from concept through integration.
• Bring experience with Network-on-Chip (NoC), networking, interconnect fabrics, packet-based architectures, or high-bandwidth data movement systems.
• Experience with AI accelerators, high-performance computing, or hardware/software co-design is a plus.

To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity., At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.