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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 Radar Systems Engineer, you will be a part of our Radar Engineering team. The Radar Engineering team is comprised of a small cross functional team of motivated and experienced engineers; we’re responsible for designing, building, and testing cutting edge phased array radar systems from concept to certified product. We enjoy a culture of sharing information and collaboration. Phased array radar systems have historically been reserved for specialized applications, but we’re making this technology affordable to enable Detect and Avoid for widespread commercial applications. This role will focus on new advanced operational modes. The passion for revolutionary technology to make aviation safer motivates us to come in every day.
Responsibilities
In your role as a Radar Systems Engineer, you will be responsible for analyzing phased array radar systems and developing radar processing algorithms to enable short, long range object tracking, and radar image generation. You will be involved in all phases of development from conception to production, designing your algorithms in Matlab, Python, and implementation in C++ on the target hardware. You will drive the system-level requirements of the phased array radar system, and drive trade studies collaborating with the cross functional teams. You will support the integration of the radar on the aircraft and support data collection and analysis during flight testing. You will be the owner of real-time processing of radar algorithms on an FPGA, DSP-based platform.
Basic Success Criteria
- Electrical Engineering fundamentals, typically gained through a Bachelor’s Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or a related discipline
- 8+ years of professional hands-on experience with Radar algorithms, radar system design, radar signal processing, integration, and test of a radar system
- Ability to use C++, Matlab and Python (Python preferred)
- Ability to troubleshoot, find root cause, and resolve issues
- Pulsed and FMCW processing algorithm development
- Experience in airborne radar testing and development
Preferred Criteria
- Advanced Degree of Science or Electrical Engineering
- Experience developing system architectures and managing requirements for certification of Avionics
- Creative problem solver that can bring multiple disciplines together, with the ability to assess risk and make design and development decisions without all available data
- Experience integrating and troubleshooting various electronic sensors and components
- Weather radar experience, airborne or ground-based
- Real beam radar imaging, and or SAR processing
This role can be remote, or located at our facility in Mountain View, California.
Must be willing to travel 30% of the time.
The estimated salary range for this position is $180,000 to $260,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.
In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.
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]
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
