Role at a glance
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- San Diego, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Typically requires or equivalent work experience: BSc/MS: 8+ years of experience or PhD: 3+ years of experience Bachelor's, Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science highly preferred 8+ years designing embedded/edge compute platforms, including x86 CPUs, DDR/LPDDR memory, and PCIe
- Education
- Typically requires or equivalent work experience: BSc/MS: 8+ years of experience or PhD: 3+ years of experience
- Visa support
- This role is not eligible for visa sponsorship.
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Role Summary
The Staff Compute Hardware Engineer designs and validates compute, memory, I/O, and networking subsystems for edge-deployed DNA sequencers. The role partners with electrical, firmware, and Linux systems teams on subsystem design and platform decisions.
What You'll Do
- Define hardware requirements and specifications for assigned subsystems based on workload, power, and environmental constraints.
- Evaluate and validate compute technologies, components, and vendor solutions, and implement wired Ethernet networking subsystems.
- Debug hardware and hardware/software issues across Linux, drivers, device tree, firmware, and bootloaders; perform root-cause analysis.
- Lead board bring-up and contribute to DVT plans for signal integrity, thermal, power, EMI/EMC, and environmental testing.
- Design for remote deployment, including secure boot, OTA updates, remote diagnostics, and long product lifecycles; maintain design...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Typically requires BSc/MS with 8+ years of experience or PhD with 3+ years of experience, or equivalent work experience. Qualifications include embedded/edge compute platform design, x86 CPUs, DDR/LPDDR memory, PCIe, edge networking, Linux drivers and debugging, bootloaders and firmware, PCB and signal-integrity design, board bring-up, DVT, and hardware/firmware/Linux root-cause analysis.
Preferred
- Bachelor's, Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science highly preferred
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We're seeking a Staff Compute Hardware Engineer to help design next-generation DNA sequencers. You'll own subsystem-level hardware design across compute, memory, I/O, and networking for edge-deployed systems with real-world power, thermal, size, and connectivity constraints. Working with senior engineers and partnering closely with firmware and Software teams, you'll drive subsystem ownership and contribute to platform-level decisions through hands-on technical work.
Responsibilities:
- Define hardware requirements and specifications for assigned subsystems based on workload, power, and environmental constraints
- Evaluate and validate compute technologies, components (CPUs, SoMs, memory, PHYs, switches, storage), and vendor solutions
- Implement networking subsystems for edge use cases, including wired Ethernet (1/2.5/10G)
- Debug hardware and hardware/software issues across the Linux kernel, drivers, device tree, firmware, and bootloaders (U-Boot, UEFI); perform root cause analysis
- Lead board bring-up and contribute to DVT plans covering signal integrity, thermal, power, EMI/EMC, and environmental testing
- Design for remote deployment: secure boot, OTA updates, remote diagnostics, and long product lifecycles
- Collaborate with electrical, firmware, and Linux systems teams; maintain design documentation and participate in design reviews
Qualifications:
- Typically requires or equivalent work experience: BSc/MS: 8+ years of experience or PhD: 3+ years of experience
- Bachelor's, Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science highly preferred
- 8+ years designing embedded/edge compute platforms, including x86 CPUs, DDR/LPDDR memory, and PCIe
- Experience with edge networking hardware (Ethernet PHYs/switches, 10GbE) and networking/routing fundamentals
- Strong Linux skills: device drivers, device tree, networking stack, and debug tools (perf, ftrace, ethtool, tcpdump, dmesg, sysfs/procfs)
- Familiarity with bootloaders and firmware (BIOS, U-Boot, UEFI, secure boot, TPM/TEE)
- Solid grounding in PCB/PCA design, high-speed signal integrity, power delivery, and thermal design
- Proven contributions to board bring-up, DVT, and V&V documentation
- Strong root cause analysis across hardware, firmware, and Linux stacks
- Strong communication skills and a collaborative, ownership-driven mindset
#LI-ONSITE
The estimated base salary range for the Staff Compute HW Engineer role based in the United States of America is: $155,600 - $233,400. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. The range reflects long‑term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact [email protected]. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.
About the company
Illumina
Large Enterprise
Illumina is a global leader in genomics, focusing on advancing human health through innovative DNA sequencing and array-based technologies. The company develops an extensive range of products and services that enable researchers and clinicians to unlock the potential of the genome, contributing to areas such as personalized medicine, genetic research, and diagnostics. With a commitment to improving life through genomics, Illumina continuously invests in technology and partnerships to enhance the accessibility and applicability of genetic information in healthcare and research settings.