Algorithm Engineer Our company exists to promote and protect life, liberty, and the pursuit of happiness. We design, build, and support low Size, Weight, and Power (SWaP), multimode, airborne radar systems. We support the entire lifecycle-often beginning by defining a market where none exists, building the product, training our customers, and providing ongoing field support. We have some exciting opportunities and we are looking for a talented Algorithm Engineer. In addition to skills and experience, we're after someone who is a healthy fit; someone who aligns with our company core values and is a team player. These are our values, and they define how we behave and how you can succeed with our company: All in - We're all in the same boat. We need people who are people-smart, who enjoy working as a member of a team, and who are passionate about what we're doing. Stand up - We stand accountable with integrity. We need people who are humble, who take responsibility for their actions, and who can make and keep commitments. Can-do - We innovate with a can-do attitude. We need people who are creative, innovative, and hungry to accomplish great things. We have an impressive product, a compelling value proposition, and a great team to work with. We need someone with the skills and experience to provide technical leadership over, help secure funding for, and advance our next generation radar products that include Machine Learning (ML), Moving Target Indication (MTI), and Synthetic Aperture Radar (SAR) imaging capabilities. You will work with our Algorithms teams, must be capable of mentoring other engineers, completing work with little management oversight and will have the opportunity to take technical lead on projects as needed. As a result, you will have the ability to dig in and shape our projects and make a large contribution to the company. You must have the following qualifications: 15+ years' experience with radar algorithms, signal processing, and/or machine learning Knowledge of Python MS or PhD in Engineering related field Experience with FFTs, Radar Pulse Compression, and Coherent Integration Expertise in Multiple Signal Classification (MUSIC), MVDR, ESPRIT, or other super-resolution subspace methods. Deep understanding of stochastic signal processing, CFAR detection, and entropy-based information theory. Proven experience with SLAM (Simultaneous Localization and Mapping), EKF (Extended Kalman Filters), or Non-Linear Least Squares optimization Knowledge of PyTorch kernels to run on embedded GPU hardware for real-time, low-latency inference Proficiency in distributed computing frameworks like Ray US citizen and eligible for a US Government security clearance. Able to work at our facility in Springville, Utah or work effectively remotely with regular travel to our Springville facility
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Job Type
Full-time
Career Level
Mid Level