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We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
As a Navigation intern at Reliable Robotics, you will work with a team of mission-driven engineers with experience across aviation, space, robotics and self-driving cars to support our autonomous flight systems. Reliable Robotics has year-round internship opportunities for students pursuing an undergraduate or graduate degree in aerospace engineering, electrical engineering, or a similar field of study. Successful candidates will work alongside senior engineers to design, implement, and test navigation systems.
Responsibilities
- Design, implement and test navigation flight software
- Improve simulation sensor models for evaluation of the navigation system
- Build infrastructure for automated simulation and hardware-in-the-loop testing of navigation sensors and algorithms
- Integrate and verify navigation system features in software-in-the-loop and hardware-in-the-loop test environments.
- Develop flight test plans and conduct post-test data review.
Basic Success Criteria
- Currently enrolled as a junior or senior in an undergraduate program in aerospace engineering, electrical engineering, or equivalent practical experience
- A solid understanding of fundamentals -- engineering math, numerical methods, and state estimation
- Proficient in any of C/C++/Python
- Proactive and motivated to tackle hard problems
- Excellent written and verbal communication skills
Preferred Success Criteria
- Currently enrolled in a graduate program in aerospace engineering, electrical engineering, or similar advanced degree
- Experience in one or more of the following areas: sensor fusion and Kalman filtering, GNSS navigation, inertial navigation
Learn more about the internship experience at Reliable Robotics from former interns: link
The location of the position is in Mountain View, CA. No travel is required. The estimated annualized salary for this position is $120,000.
This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant’s capacity to perform in compliance with U.S. export control laws.
All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.
At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]
Reliable Robotics Corporation Mountain View, California, USA Office
950 N Rengstorff Ave, Mountain View, CA, United States, 94043
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
