Array Labs is building a distributed radar imaging constellation to power the first accurate, real-time 3D map of the world.

As a radar engineer on the hardware design team, you will have the unique opportunity to shape the design of the first orbital MIMO radar imaging system. In this critical role, you will be collaborating with silicon, antenna, software, and other engineering teams to create cutting-edge hardware, rapidly advancing designs from clean sheets of paper to operational deployment in space.

Responsibilities:

• System-level design to support a novel satellite communication and radar imaging system
• Work closely with ASIC/FPGA, RF/antenna, and software engineers to design and validate high-performance radar imaging and digital communication systems
• Develop floating-point and fixed-point models and build simulations to analyze system level performance
• Generate bit-accurate and cycle-accurate vector models to support RTL design verification
• Create spacecraft hardware requirements, specifications, and test procedures
• Develop and implement test plans for hardware verification and validation

• Bachelor’s degree in electrical engineering, computer engineering, computer science, physics, or related field
• Experience in system-level modeling and digital signal processing
• Excellent teamwork and communication skills
• Learns new concepts rapidly, completely, and in a self-directed manner
• High levels of self-motivation and personal accountability
• Ability to work in a fast-paced environment under significant time constraints
• Proficient in MATLAB, C/C , and/or Python

• Master’s degree in electrical engineering with emphasis in radar image formation and/or digital signal processing
• 2 years of experience in system-level radar modeling
• 2 years of experience in working on Synthetic Aperture Radar image formation techniques such as backprojection or polar-format algorithm
• 2 years of experience in design and verification of beamforming radar or communications systems
• Experience with radar waveforms and pulse-encoding schemes, including LFM chirp, pseudo-noise waveforms, and low-autocorrelation or LPI techniques
• Experience designing and implementing imaging modes and algorithms
• Experience creating detailed system-level simulators for performance analysis
• Experience performing system link budget analysis for radar imaging performance prediction
• Knowledge of transmitter and receiver design, algorithms, and hardware architectures
• Knowledge of FPGA and ASIC development concepts, methodologies, and procedures
• Experience working in a lab and using laboratory test equipment

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

• Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.

Interview Process

We will conduct three interviews via Zoom; the typical process takes around 2-4 weeks to complete from start to finish.

Hiring and Compensation Strategy

Our hiring and compensation strategy is simple:

1) find uncommonly good people

2) pay them uncommonly well

You can anticipate competitive pay, with high flexibility between salary and equity-based compensation.

Why you should join Array Labs

Array Labs is launching a constellation of satellites to create the first high-resolution, real-time, three-dimensional model of Earth. Our next-generation satellite technology will offer image quality 60x greater than traditional techniques, profoundly expanding humanity’s ability to understand and respond to events on a global scale.

In forging an affordable, accessible, accurate representation of Earth, our work has the potential to transform the face of dozens of fields, including autonomy, telecommunications, disaster relief, gaming, climate science, defense and construction.