Autonomy Staff Software Engineer

Joby Aviation
Santa Cruz, CA, United States
6 days ago
Apply on careers-jobyaviation.icims.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$167,400.0 - $242,900.0
Working hours
Regular working hours

Tech stack

Clean Code Principles Artificial Intelligence Computer Vision C++ (Programming Language) Code Review Continuous Integration DevOps Middleware Embedded Software Global Positioning Systems (GPS) Python (Programming Language) Machine Learning
+7 more
Real-Time Operating Systems Software Engineering Software Systems Git Build Management Information Technology Docker

Job description

Joby Flight Research is seeking an Autonomy Staff Software Engineer, to design and build the AI software for our Superpilot autonomy stack. This position offers a unique opportunity to architect the software platform and algorithmic solutions that power Joby’s varied fleet of autonomous aircraft. In this role, you will own, design, and develop the software solutions for aircraft autonomy. You will work closely with other software engineers and AI experts in computer vision, machine learning, and robotics. The role requires deep software engineering and autonomous systems industry experience and expertise.

You will design and develop robust perception software for autonomous flight. Further, you will also design and build software systems for data collection, calibration, and testing. Your work will help teams develop AI algorithms and validate safety-critical behavior to deploy autonomous flight on multiple types of aircraft.

We are a small, high-impact team that values curiosity, technical initiative, and the ability to operate independently. You will collaborate deeply with sensing, controls, and flight software engineers to build a foundation that accelerates our path to safe, autonomous flight. The right candidate is a strong autonomy software engineer who cares deeply about system design, software engineering, and enabling fast, safe iteration across multiple aircraft programs.

Responsibilities

  • Autonomy Software Development
  • Design, implement, and maintain autonomy software across the stack spanning low-level embedded and higher-level autonomous aircraft
  • Design, implement, and maintain computer vision, machine learning, and AI algorithms for perception and reasoning in autonomous aircraft
  • Contribute to software engineering work in integration, flight test, and simulation work across autonomy teams
  • Autonomy Software Optimization
  • Design and target software systems for real-time, edge compute platforms
  • Optimize and tune AI perception algorithms for autonomous aircraft
  • Design and implement efficient solutions for SW deployment, testing, and iteration
  • Autonomy Technical Solutions
  • Design robust software systems for autonomous aircraft data collection and processing
  • Evaluate and design advanced sensing and compute solutions for autonomous aircraft involving cameras, lidars, radars and other sensors and compute hardware
  • Collaborate closely with the rest of the Superpilot team to ideate, plan and execute on high-quality, well-integrated solutions and features
  • Monitor system health and performance, proactively addressing issues and providing user support

Requirements

  • Degree in computer science, aerospace engineering, or related field
  • 10+ years of experience in software engineering
  • Experience in developing software and systems for autonomous vehicles
  • Experience in real-time, embedded software development
  • Strong proficiency in C++ and python
  • Experience in devops such as git, docker, CI/CD, automation
  • Experience developing SW for high-bandwidth sensor data for robotics platforms, e.g., cameras and lidars
  • Ability to invent and own technical solutions in autonomy software
  • Proven ability to document complex technical designs, architectural trade-offs, and implementation roadmaps
  • Champion of software best practices, including rigorous code reviews and mentorship
  • Excellent communication skills for collaborating with cross-functional teams

This position must meet US export control compliance requirements, therefore a candidate must qualify as a “US Person” as defined by 22 C.F.R. § 120.15. “US Person” includes US Citizens, lawful permanent residents, refugees, or asylees.

Desired

  • Software development experience in aerospace autonomy
  • Expertise in processing aircraft data (GPS, inertial, ADS-B, air data, radio data)
  • Expertise in ROS2 or related middleware and DDS systems
  • Experience in RTOS, edge/embedded computed, and data collection and processing
  • Expert-level software engineering: deep expertise in architecting and writing clean, scalable, and maintainable code
  • Experience with aircraft autonomy SIL/HIL, hardware, electronics

Benefits & conditions

Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $167,400 - $242,900/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.

About the company

Joby Flight Research designs, develops, and flight-tests novel aircraft using a software-first autonomy approach. We build and deploy autonomy, perception, planning, and radar systems across conventional, electric, and hydrogen-electric aircraft in both CTOL and VTOL configurations.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on careers-jobyaviation.icims.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:19 min

Advancing autonomous driving capabilities with specialized software talent

Katrin Lehmann Katrin Lehmann +1 · Coffee With Developers

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:03 min

Applying best engineering practices to autonomous freelance projects

Sylvia Dieckmann · LIVE

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all