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.
