Senior Software Engineer (Backend)
Joby Aviation
San Carlos, CA · Posted November 1, 2026
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Where San Carlos, CA ranks
Where San Carlos, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for manufacturing and industrial pay after cost of living$176k · of 35
- #4Best cities for mid-career professionals in the West Coast65% · of 71
- #7Cities that post pay most often45% · of 100
- #8Best cities for mid-career professionals65% · of 100
- #9Best all-round cities for mid-career professionals in the West Coast63 / 100 · of 39
- #10Best cities for pay after cost of living in California$176k · of 32
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 615 open senior software engineer listings that state pay, the middle half runs $170,500 to $222,000 and the median is $199,000.
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About the job
Company Overview
Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. At Joby, we've been working to make that dream a reality since 2009 and we're now in the final stages of certifying our aircraft with the FAA. With plans to launch our aircraft in the US and Dubai, we're now scaling manufacturing and preparing for the launch of our commercial service.
Overview
We're looking for a Senior Software Engineer with deep backend systems expertise to help drive the next generation of infrastructure that powers Joby's manufacturing and operations. In this role, you'll design and build scalable, reliable Python services that connect business logic, production data, and hardware systems across a globally distributed organization. You'll partner with product, operations, manufacturing, and hardware teams to identify high-impact technical opportunities, architect solutions that handle real manufacturing complexity, and establish the patterns that let Factory Systems ship production-grade capabilities at scale. This is a rare opportunity to work at the intersection of software, aviation, and global collaboration—where your code quite literally helps get things off the ground.
Responsibilities
Design and build scalable backend services and APIs that power manufacturing workflows, financial systems, and operational tools
Architect event-driven systems, integrations, and data pipelines that reliably connect internal services, manufacturing equipment, and operational intelligence
Own end-to-end delivery of backend systems: requirements discovery, design, implementation, deployment, monitoring, and iteration
Raise the bar for the whole team by leading technical design discussions, mentoring engineers, and establishing the patterns and tooling that let others build reliable services
Collaborate across time zones and disciplines—hardware, operations, manufacturing, quality—to deliver outcomes that improve efficiency and clarity.
Contribute to a modern tech stack in a fast-moving, high-ownership environment with increasing architectural influence.
Required
B.S. or M.S. in Computer Science, Electrical Engineering or equivalent practical experience
5+ years of software engineering experience building and operating production systems
Advanced, hands-on experience with Python and building scalable applications
Strong understanding of Docker and containerized development workflows
Strong knowledge of RESTful APIs and designing clean, maintainable web services and system architectures
Deep experience with event-driven architecture—ideally using tools like Kafka to build reliable, asynchronous workflows
Experience moving prototypes into reliable production systems, with strong debugging, testing, and observability practices
Clear communication and a track record of collaborating across disciplines to deliver outcomes
Desired
Working proficiency with GitHub-based CI/CD workflows and deployment automation
Proficient in databases such as PostgreSQL and/or MongoDB with experience optimizing queries and managing data at scale
Experience with GraphQL or other modern API patterns in addition to REST
Familiarity with cloud storage platforms and distributed file systems
Comfortable working independently in globally distributed teams
Background in production or manufacturing settings, or experience building systems that integrate with hardware or real-time data
Experience with AI-assisted development workflows and LLM-based tooling
Additional Information
Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $141,000 - $217,700/yr.
The compensation package will be determined by job-related knowledge, skills, and experience.
Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.
Joby is an Equal Opportunity Employer