Cerebras
ML Systems Integration Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Sunnyvale, CA
Employer listed it 3 weeks ago · Added 2 days ago
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Hybrid · Sunnyvale, CA
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $140k–$245k a year, a typical range taken from 591 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Sunnyvale, CA, Toronto, CAN, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Sunnyvale, CA, Toronto, CAN, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
Responsibilities
Participate in bring-up of next-generation AI hardware systems and supporting software infrastructure.
Debug complex system-level issues spanning hardware and software interactions.
Investigate failures occurring during system bring-up and identify root causes using logs, telemetry, and diagnostic tools.
Build automation frameworks and internal tooling that improve system validation and debugging workflows.
Develop software used to test, validate, and stress distributed hardware systems during development and production cycles.
Collaborate closely with hardware engineers to isolate and resolve system integration issues.
Improve system observability by building tools that surface failures quickly and accelerate debugging.
Reproduce, triage, and diagnose difficult issues that arise during early hardware deployment.
Support validation and qualification of new hardware generations as systems move toward production readiness.
Continuously improve internal engineering workflows related to debugging, testing, and automation.
Skills & Qualifications
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related technical field.
Strong programming skills in Python and/or C++.
Excellent debugging and problem-solving skills with ability to investigate complex technical issues methodically.
Solid understanding of operating systems fundamentals (processes, threads, memory management, concurrency, IPC).
Experience working in Linux development environments.
Understanding of computer architecture and interactions between hardware and software systems.
Strong analytical thinking and ability to break down complex system failures into actionable root causes.
Ability to work effectively across multiple engineering teams and collaborate in highly technical environments.
Strong communication skills and willingness to work on ambiguous technical problems.
Preferred Skills & Qualifications
Experience building automation frameworks, internal tooling, or test infrastructure
Requirements
- ·BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related technical field.
- ·Strong programming skills in Python and/or C++.
- ·Excellent debugging and problem-solving skills with ability to investigate complex technical issues methodically.
- ·Solid understanding of operating systems fundamentals (processes, threads, memory management, concurrency, IPC).
- ·Experience working in Linux development environments.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Cerebras, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 2d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open software roles with comparable remote rules.
Free to apply, no account needed.
Typically $140k to $245k per year · You'll be taken to the employer's careers page.