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NUVACORE

Designs high-performance, general-purpose CPU cores

Hardware Board Design Engineer

Board & Electronics DesignConfirmed live in the last 24 hours
Full-time$140k - $250k /yr

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field is required.
  • At least 5 years of professional experience in high-speed hardware board design, ideally focused on enterprise servers, data center hardware, or complex computing platforms.
  • High proficiency with industry-standard schematic capture and PCB layout tools such as Cadence Allegro, Concept HDL, OrCAD, or Altium Designer.
  • Direct experience designing high-speed serial or parallel interfaces such as PCIe, DDR/LPDDR, or USB, and understanding of basic signal integrity and power integrity constraints.
  • Proven experience with board-level power distribution design, DC-DC converters, and multi-phase voltage regulator modules supporting high-current rails.
  • Hands-on laboratory experience with hardware debugging, rework, and diagnostic equipment such as digital multimeters, oscilloscopes, and network analyzers.

Responsibilities

  • Lead the design and development of complex, multi-layer, high-density interconnect server motherboards, baseboards, and riser cards optimized for data center workloads.
  • Own schematic entry, create complex hierarchical designs, and select components prioritizing power efficiency, thermal performance, and long-term reliability.
  • Collaborate with PCB layout engineers to define board stack-ups, routing constraints, component placement, and shielding strategies.
  • Collaborate with Silicon, Package Design, and Signal/Power Integrity teams to implement co-design methodologies for high-speed interfaces such as PCIe Gen6/Gen7, DDR5/LPDDR6, and CXL, and for robust power delivery networks.
  • Design efficient, high-current power delivery paths, including voltage regulator modules and multiphase buck converters, to support ultra-high-power CPUs while meeting data center energy-efficiency metrics.
  • Lead hands-on hardware bring-up, debugging, and validation of prototype boards in the lab using high-speed oscilloscopes, logic analyzers, and specialized test equipment.
  • Generate fabrication and assembly documentation, including Gerbers, bills of materials, and ODB++; partner with fabrication houses and electronics manufacturing services partners to resolve design-for-manufacturing, design-for-assembly, and design-for-test issues and support transition to mass production.

Desired Qualifications

  • A master's degree in Electrical Engineering or Computer Engineering.
  • At least 10 years of deep understanding of data center server architectures, Open Compute Project standards, and system topologies such as CPU sockets, high-speed riser configurations, and baseboard management controller subsystems.
  • Familiarity with the interaction between advanced semiconductor packaging, such as chiplets and 2.5D bridges, and high-density PCB implementation.
  • Familiarity with signal integrity, power integrity, and thermal simulation concepts using tools such as Ansys SIwave, Ansys HFSS, Cadence Sigrity, or HyperLynx to guide early-stage design constraints.
  • A strong background optimizing layouts for high-volume manufacturing, minimizing layer counts while maintaining performance, and handling design-for-manufacturing, design-for-assembly, and design-for-test validation.
  • Excellent communication and cross-functional collaboration skills, and the ability to work in a fast-paced, startup-like environment.

About the Company

NUVACORE

Designs high-performance, general-purpose CPU cores

Nuvacore designs high-performance, general-purpose CPU cores built from the ground up to meet AI-focused workloads in data centers and advanced systems. It offers cores as either IP for chip developers or finished chips, optimized for speed and area efficiency to handle continuous, long-running tasks. The team combines veterans from Nuvia, Apple, and Arm, focusing on agentic computing rather than specialized accelerators to differentiate from competitors. The goal is to deliver scalable, reliable CPUs that provide high throughput for large-scale AI workloads and continuous computing tasks.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2026

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