Posted 2 days ago
Software Engineer, Bugbot
AI Summary
Builds and maintains Bugbot, an AI code reviewer, spanning model integration, review pipeline tuning, product UI, integrations and onboarding, and owns its quality and reliability for engineering teams.
About this role
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.
SOFTWARE ENGINEER, BUGBOT
We're hiring a Software Engineer to work on Bugbot. Bugbot reviews pull requests, catches bugs, suggests improvements, and is becoming a critical part of how engineering teams ship software. As LLMs rapidly mature, the surface area of what Bugbot can do is expanding just as fast. From the model integration and agent harness improvement to the product UI, integrations, and onboarding experience, you'll maintain Bugbot as the industry's best AI code reviewer.
RESPONSIBILITIES:
Launch new Bugbot features end-to-end from defining the feature and building the UI to wiring up the backend and iterating on model behavior so that each release meaningfully improves code review quality. You can check out the Bugbot blog post for some examples of how Bugbot was improved in the past: https://cursor.com/blog/building-bugbot
Evolve the review pipeline adapting prompting strategies, model routing, context selection, and agent orchestration to take advantage of new capabilities while managing cost and latency
Build integrations that embed Bugbot into every engineer's workflow making AI-assisted review a seamless, default part of the development loop
Own product quality and reliability monitor precision and recall, triage false positives, improve observability across the review pipeline, and ensure Bugbot earns trust with every review it posts
Design onboarding and adoption flows that help teams go from first install to daily active usage
Partner with ML, infrastructure, and product teams to inform model improvements with real-world review data, shape the Bugbot roadmap, and scale the system as adoption grows
BASIC QUALIFICATIONS:
Experience building or working on agents.
PREFERRED SKILLS AND EXPERIENCE:
Experience building or working on agents that integrate into the code review or CI/CD workflow
Experience shipping full-stack product features end-to-end and enjoying moving between frontend, backend, and model integration
Care deeply about developer experience and collecting new evals from customers and internal team members
Able to hold the tension between "ship fast to learn" and "don't erode trust with bad suggestions."
Experience launching a product or feature to external users and owning the full loop: onboarding, documentation, feedback, and iteration
ADDITIONAL REQUIREMENTS:
Onsite role: must be able to work in person at the San Francisco or New York office
COMPENSATION AND BENEFITS:
The annual compensation range for this role is listed below.
Annual Salary:
$140,000 - $225,000 USD
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Skills
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