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SpaceX

Sr. Software Engineer, Computer Vision

SpaceX is hiring a Sr. Software Engineer, Computer Vision. It pays $160k-$225k a year and Level rates it ; you can apply on SpaceX.

Level's read on this job

  • Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
  • Pay on this posting starts in line with the typical software engineer posting on Level.
  • The posting mentions PyTorch, JAX and MLflow among its tools and skills.
  • Level classes it as a senior role.
  • SpaceX has 2,800+ other open roles on Level.

AI in this role

Lead computer vision model development and deployment for automated manufacturing defect detection.

PyTorchJAXMLflowPythonRayKubeflow
fine-tuningcomputer-visionmachine-learningmodel-deploymentmlops

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 enabling human life on Mars.

SR. SOFTWARE ENGINEER, COMPUTER VISION

We are looking for exceptional, driven, adaptable, and resilient senior software engineers who are technical leaders and experts in artificial intelligence (AI), machine learning (ML), and computer vision. As a software engineer on the NDE & Materials Software team, you will accelerate the quality, speed, and efficiency of manufacturing processes at SpaceX by owning end-to-end solutions - from model development to production deployment and monitoring.

Our team is building the next generation of in-process monitoring tools for SpaceX as we develop the Starship, Raptor, and Starlink programs. We deliver high-impact solutions through advanced AI models and scalable simulation with a focus on non-destructive evaluation (NDE) and materials engineering applications. As a technical leader, you will guide the team in applying cutting-edge AI to these manufacturing challenges.

RESPONSIBILITIES:

  • Lead computer vision model development and deployment for real-time inspection and automated defect recognition in production-scale manufacturing
  • Architect and implement pipelines for scalable model training, evaluation, deployment, monitoring, and retraining using industry-standard tools like Ray Train/Serve, Kubeflow, Airflow, or equivalent
  • Develop software to integrate hardware, sensors, and tooling (including sensor fusion) with AI-driven process monitoring systems
  • Build and optimize data pipelines from production lines, incorporating real-time stream processing and inference
  • Collaborate with part/process engineers, NDE engineers, and materials scientists to link advanced models and outputs to manufacturing
  • Lead design and code reviews, technology evaluations, and enforce best practices (e.g., style, CI/CD, accuracy, testability, efficiency, and standards)

BASIC QUALIFICATIONS:

  • Bachelor's degree in computer science, engineering, math, physics, or related STEM discipline; OR 8+ years of professional experience building and deploying AI software/Machine Learning in lieu of a degree
  • 5+ years of software development experience
  • 3+ years deploying AI models to production environments
  • 3+ years of software engineering experience
  • 3+ years of experience leveraging Python for data analysis

PREFERRED SKILLS AND EXPERIENCE:

  • Proven track record as a technical leader in software projects involving AI/ML
  • Hands-on experience deploying computer vision models for real-time manufacturing inspection and defect detection
  • Strong development experience in Python and C++ (or similar), with expertise in ML frameworks like PyTorch or JAX
  • Hands-on experience with computer vision libraries (e.g., OpenCV)Experience fine tuning and adapting state-of-the-art models, such as transformers and vision transformers, to production environments
  • Experience fine-tuning LLMs or vision-language models and building agentic tools
  • Experience deploying applications at scale with Docker, Kubernetes, and cloud/edge inference for factory automation
  • Expertise in machine learning/LLM operations including model versioning, A/B testing, drift detection, and orchestration with Kubeflow, Ray, MLFlow, or similar
  • Stream processing with Apache Kafka, RabbitMQ, or equivalent
  • Database expertise in PostgreSQL or similar and data tools (Prometheus, Grafana, Jupyter)
  • Strong linux experience
  • Experience applying AI to physics or simulation domains, using physics-informed neural networks (PINNs) or surrogate modeling

ADDITIONAL REQUIREMENTS:

  • Ability to work extended hours and weekends as necessary
  • Ability to travel to other SpaceX sites as needed (up to 20%)

COMPENSATION AND BENEFITS:

Pay range:
Sr. Software Engineer: $160,000.00 - $225,000.00/per year

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 your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.

ITAR REQUIREMENTS:

  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

How we rate this

Sr. Software Engineer, Computer Vision at SpaceX rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  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

Fine-tuningComputer visionMachine learningModel DeploymentMLOpsPyTorchJAXMLflow

Also common in software engineer jobs at this level

Pay

This job starts at
$160k
Typical software engineer job
$167k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where model deployment was part of your work. What did you do?
  5. Tell me about a project where mlops was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Fine-tuning, Computer vision, Machine learning, Model Deployment, and MLOps. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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