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Software Engineer, Research Tooling

Cursor is hiring a Software Engineer, Research Tooling in Palo Alto, United States. It pays $140k-$225k a year and Level rates it ; you can apply on Cursor.

Level's read on this job

  • On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Grok, AI evaluation and full stack.
  • Level classifies it as a mid-level role.
  • Level lists 113 other open roles at Cursor.
  • The role was posted in the last few days.

AI in this role

Build full-stack applications and infrastructure that enable AI researchers to iterate quickly and run complex experiments.

Grok
ai-evaluationfull-stacktoolinginfrastructureproduct-engineering

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, RESEARCH TOOLING

As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights. This is a full-stack product-engineering role: you'll work directly with researchers and engineers to understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're creating platforms for experiment orchestration, developing novel visualization tools for model evaluation, or building abstractions for understanding model behavior at scale, your work will directly accelerate our mission of building frontier AI models. No prior ML or research experience is required.

RESPONSIBILITIES:

  • Build and maintain the full-stack applications and infrastructure researchers rely on daily, covering experiment setup, feedback collection, and results analysis

  • Own complete product areas from user needs through design, implementation, and iteration, setting standards for how to build research applications

  • Create reusable platforms and tools that speed up new research applications, then prototype, ship, and iterate quickly based on real-world usage

  • Partner with research teams to turn their workflows and pain points into intuitive interfaces and abstractions that make complex research tasks fast and approachable

BASIC QUALIFICATIONS:

  • Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree

PREFERRED SKILLS AND EXPERIENCE:

  • Experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)

  • Experience shipping full-stack products and owning systems from user interface to storage or services, using technologies such as TypeScript and React alongside Node, Python, or Go

  • Experience building dense, data-facing tools such as transcript viewers, diffing systems, review queues, observability products, or operational dashboards, with strong opinions about how structured data should be rendered

  • Product instincts: identifying the right problems to solve and moving from concept to working prototype with ease

  • Ability to move quickly under ambiguity, collaborate closely with researchers and domain experts, and take open-ended problems from rough need to reliable product

  • Ability to jump into new problems, quickly develop domain expertise, and independently drive impactful projects from conception to delivery

ADDITIONAL REQUIREMENTS:

  • Onsite role: must be able to work in person at the Palo Alto 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.

How we rate this

Software Engineer, Research Tooling at Cursor rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI EvaluationFull StackToolingInfrastructureProduct EngineeringGrok

Also common in software engineer jobs at this level

Pay

This job starts at
$140k
Typical software engineer job
$168k

This posting starts 16% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide that one model's output is better than another's for a given task?
  2. Tell me about a project where full stack was part of your work. What did you do?
  3. Tell me about a project where tooling was part of your work. What did you do?
  4. Tell me about a project where infrastructure was part of your work. What did you do?
  5. Tell me about a project where product engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Evaluation, Full Stack, Tooling, Infrastructure, and Product Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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