Software Engineer - Hardware Diagnostics - New Grad
Santa Clara, California, United States · Hybrid
Entry level
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SOC Operator - Part Time Dispatch Center Coordinator
Santa Clara, California, United States · On-site
Mid level$9.0B raised
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Staff Site Reliability Engineer - AI Platform Runtime
Santa Clara, California, United States · Hybrid
$168k–$334k/yr
Senior+$29B raised
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Full-time
bachelor degree
Mentorship, Professional development, Collaborative work environment
Posted 4d ago
~40 hrs/week
Responsibilities
Design and implement platform driver code to model, stress, and verify hardware performance across kernel and user space. Collaborate with cross-functional teams to build custom test suites and support end-to-end system enablement from prototype to datacenter deployment.
Requirements
Requires a bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field. Candidates must be proficient in Python and C with a solid understanding of systems software and hardware diagnostics.
Full job description
Company Description: As a cutting-edge AI infrastructure startup, we are building high-performance systems that power next-generation, large-scale AI deployments. Our team brings together industry veterans and passionate innovators who thrive in a fast-paced environment, tackling complex technical challenges at the boundary of hardware and software.
Diagnostics Team Details: We are looking for inquisitive software engineers eager to bridge the gap between software platform architecture and physical hardware. Operating as a vital group within our software organization, our team rapidly iterates to validate hardware—from early prototype bring-up to full datacenter deployment—using an industry-leading software framework. Strong problem-solving skills, rapid adaptability, and enthusiasm for collaborative engineering are at the core of what we value.
Job Responsibilities:
Design and write platform driver code across kernel and user space to model, stress, and verify hardware performance.
Drive architectural decisions for our platform software in a highly collaborative setting.
Partner cross-functionally with hardware, software, and mechanical engineering teams to build custom test suites for complex designs.
Engage in end-to-end system enablement, progressing from prototype bring-up to large-scale AI datacenter deployments.
Help shape our startup culture—take ownership, challenge existing paradigms, and contribute directly to the future of our tech stack.
Qualifications:
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering or a related field
Proficiency in Python, C
Solid understanding of systems software, including embedded systems and distributed systems
Familiarity with schematics/component datasheets
Familiarity with L2 networking protocols is a plus.
Good communication skills and ability to work collaboratively in a team
Confidence to both ask questions and take ownership of your projects
What We Offer:
Direct 1:1 mentorship from industry veterans passionate about accelerating your early-career technical growth.
High ownership of high-impact projects tailored to your interests and expertise, with immediate visibility and impact across teams.
A supportive, highly collaborative culture that encourages continuous learning, curiosity, and creative problem-solving.