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gsoc operator

Wayve

<div><div><h2 class="jobSectionHeader"><b>About us</b><b>
</b></h2><p>Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.</p>
<p>
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
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In our fast-paced environment big problems ignite us&mdash;we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.</p>
<p>
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
</p><p>Make Wayve the experience that defines your career!
</p></div><p><b>Site Reliability Engineer - Vehicle Software</b></p>
<h1 class="jobSectionHeader"><b>
The role</b></h1>
<p>
As a Site Reliability Engineer at Wayve, you will work across the full reliability stack for our vehicle software: observability, incident management, operator tooling, and the automation that lets engineering and operations teams detect, triage, and resolve issues faster. You will work closely with software engineers, field engineers, and operations, debugging real systems, improving real processes, and having direct impact on how our vehicles perform in production.</p>
<p>
Wayve is scaling its autonomous vehicle programs with partners, and you will help shape the SRE approach for vehicle-centric systems as that happens. This is not a role where reliability sits on top of the real work, it is central to it.</p>
<h1 class="jobSectionHeader"><b>
Key responsibilities</b></h1>
<ul><li>Build and improve tooling, automation, observability, and incident-management processes for vehicle software reliability.</li>
<li>Work closely with field engineers, software teams, and operations to diagnose reliability issues and improve system performance.</li>
<li>Own hands-on debugging across Linux, low-level systems, logs, metrics, traces, and vehicle and production data.</li>
<li>Develop reliability improvements that reduce manual intervention and make issue detection, triage, and recovery faster.</li>
<li>Support vehicle-centric operations, including safety-operator tools and the reliability needs of our customer and partner programs.</li>
</ul><h1 class="jobSectionHeader"><b>About you</b></h1>
<h2 class="jobSectionHeader"><b>Essential skills</b></h2>
<ul><li>You will write production-quality code every day in Python, C++, or Rust. This is a software engineering role as much as a reliability role, and coding is central to the work.</li>
<li>Comfortable debugging at the Linux and systems level, reading logs, tracing failures, and finding root cause in complex environments.</li>
<li>Experience with CI/CD, containerization, networking, distributed systems, databases, and observability and incident-management tooling, including DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio.</li>
<li>Experience diagnosing complex production or operational systems, not just escalating, but seeing problems through to resolution.</li>
<li>The communication skills to work effectively across engineering, operations, and field teams, and the judgment to know when to bring others in.</li>
<li>Based in Sunnyvale and able to be onsite at least three days a week to work alongside the field teams you will support.</li>
</ul><h2 class="jobSectionHeader"><b>Desirable skills</b></h2>
<ul><li>Experience with autonomous vehicles, robotics, embedded systems, or safety-critical environments. We know this is rare, and it is not a barrier to applying.</li>
<li>Experience with large-scale telemetry or high-volume data pipelines.</li>
<li>Familiarity with vehicle-centric or on-device software systems.</li></ul><br>
<h1 class="jobSectionHeader"><b>
</b></h1><p>This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $209,700 to $266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.</p><div><p>
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.</p><br>
<p>
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.<br>
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At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.</p>
<p>
For more information visit Careers at Wayve.</p>
<p>
To learn more about what drives us, visit Values at Wayve</p>
<p>
For US candidates only, please visit E-Verify Notice and Participation and Right to Work</p>
<p></p>
<p>DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.</p></div></div><p></p>

Site Reliability Engineer, Vehicle Software

Build AI

<div><h2 class="jobSectionHeader"><b>About Build AI</b></h2><p>
Build AI is the data hyperscaler for Physical AI. We co-design hardware, collection, infrastructure, and research to scale the physical labor dataset orders of magnitude faster than anyone in the world.</p><h2 class="jobSectionHeader"><b>
Job Summary</b></h2><p>
We are hiring a Product Lead to own the product that applies deep learning to physical labor businesses and then scales it country by country. This is not a VP of Product seat. You decide what we ship, who it is for, and how it gets into the hands of operators doing the real job &mdash; collection hardware, the customer product, and the field workflows in between.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Define and ship the product that brings models trained on in-the-wild labor data into real workplaces</p></li><li><p>
Sit at the intersection of research, software, Shenzhen hardware, and field ops so collection, models, and the customer product are one system, not three roadmaps</p></li><li><p>
Own 0 1 site and country expansion: standup checklists, operator UX, device + software kits, and the path from first factory to repeatable rollout</p></li><li><p>
Talk to operators and customers, then turn that into a roadmap you actually ship &mdash; not a deck</p></li><li><p>
Set quality, latency, and operational bars so the product works on a job site, not only in a demo</p></li><li><p>
Work with Data Compliance and marketplace incentives so consent, pay, and collection live in the product, not as afterthoughts</p></li></ul><h2 class="jobSectionHeader"><b>
You may be a good fit if you have (Must-have qualifications)</b></h2><ul><li><p>
You have owned a product 0 1, ideally in a messy real-world or operations-heavy domain</p></li><li><p>
Comfortable with ML / deep learning as a product surface, not only as a research paper</p></li><li><p>
You can work with engineers and field/ops teams without a large product org under you</p></li><li><p>
Bias toward shipping and scaling, including internationally</p></li><li><p>
You want to solve physical labor, not build another dashboard company</p></li></ul><h2 class="jobSectionHeader"><b>
Strong candidates may also have experience with (Nice-to-have qualifications)</b></h2><ul><li><p>
Experience standing up operations or deployments for a physical product at an early-stage company</p></li><li><p>
Familiarity with data collection or evaluation workflows for ML</p></li><li><p>
Experience taking a product into new countries without a large product org</p></li><li><p>
You have hired or managed engineers as a player-coach</p></li></ul><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li><p>
Competitive pay</p></li><li><p>
Medical, dental, and vision packages with generous premium coverage</p></li><li><p>
$500 per month credit for waiving medical benefits</p></li><li><p>
Housing subsidy of $2k per month for those living within walking distance of the office</p></li><li><p>
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)</p></li><li><p>
Various wellness benefits covering fitness, mental health, and more</p></li><li><p>
Daily lunch and dinner in our office</p></li><li><p>
Unlimited compute budget subject to ROI justification</p></li><li><p>
Unlimited Codex and Claude credits</p></li><li><p>
Travel</p></li></ul><h2 class="jobSectionHeader"><b>
How we're different</b></h2><p>
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.</p><p>
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.</p><p>
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: research@build.ai</p><p>
Compensation Range: $200K - $320K</p></div>

Product Lead

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2 gsoc operator jobs In San Francisco

Site Reliability Engineer, Vehicle Software

Product Lead