AI Inference Core - Software Integration Engineer
Software Integration Engineer on Cerebras's AI Inference Core team, taking zero-to-one projects from prototype to validated capabilities across the inference stack — AI frameworks, runtime, compilers, kernels, distributed systems, and hardware. Hybrid (3 days/week in office) in Sunnyvale, CA or Toronto, ON; programming in Python, C++, or Go.
- Compensation
- Not disclosed
- Location
- United States
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Strong software-engineering fundamentals and programming ability in Python, C++, Go, or a similar language
- Ability to break down ambiguous technical problems, form hypotheses, gather evidence, and drive issues to resolution
- Experience building or debugging software systems (professional work, internships, research, academic projects, open source, or equivalent)
- Curiosity about how complex systems behave across component boundaries
- Willingness to read unfamiliar code, learn new layers of the stack, and take ownership beyond a narrowly defined area
- Ability to work hard and stay effective during uncertainty, rapid change, and accelerated delivery
- Clear communication and strong collaboration across disciplines and levels of experience
- In-office presence three days per week (hybrid; fully remote not available)
Nice to have
- Experience in a startup or similarly fast-moving, resource-constrained engineering environment
- Demonstrated experience taking a project from zero to one
- Experience with software/hardware co-design, hardware accelerators, compilers, kernels, runtimes, or low-level systems
- Experience debugging complex systems, distributed software environments, or large-scale compute clusters
- Experience with AI infrastructure, model deployment, LLMs, or multimodal workloads
- Exposure to performance debugging, profiling, observability, or failure analysis
- Familiarity with microservices, containers, cluster orchestration, cloud infrastructure, or high-performance computing
- Track record of driving cross-team projects from an incomplete idea to a reliable working result
Full description
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About the Role
We are looking for a Software Integration Ninja to join the AI Inference Core team at Cerebras. This team sits at the intersection of AI infrastructure, distributed systems, compilers, runtimes, kernels, and hardware/software co-design.
The Innovation Engine for Inference Core — turning ideas into reality.
You will help take ambitious ideas from concept to working reality across the Cerebras inference stack. You will integrate and validate cross-component projects of high complexity, often on accelerated timelines, and work directly with engineers across AI, runtime, compiler, kernel, systems, and hardware teams.
A Special Task Force, Not a Typical Engineering Role
- Zero-to-one mission: Take incomplete ideas and early prototypes all the way to working, validated capabilities.
- Cross-stack complexity: Move across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware—not just one component or codebase.
- Accelerated and dynamic cadence: Expect focused daily syncs, rapidly changing priorities, and periods of intense integration work. This is not a role for engineers seeking strictly regular, predictable work hours.
- Comfortable on the hot seat: Take ownership when the path is unclear, make sound decisions with incomplete information, and stay effective when timelines are tight.
- Bias for action: At critical moments, the mindset is “No Process, No Documentation, Just Get Stuff Done!!!” Cut through unnecessary ceremony, deliver the result, and then turn what you learned into better automation, diagnostics, documentation, and repeatable practices.
- Team multiplier: Always push the work forward while raising the pace, clarity, and effectiveness of the people around you. We want people who bring the team with them—not lone heroes.
We prefer candidates with experience in , but that experience is not required. We welcome exceptional junior engineers who are eager to learn, do not shy away from ambiguity or hard work, and can demonstrate strong fundamentals, curiosity, ownership, and persistence.