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Embedded Systems and Perception Engineer


About Metawave:


Metawave is solving today’s real-world problems  in highly automated driving and in high-speed wireless communications by using advanced beam focusing and steering technologies. Our mission is to make driving safer and communications faster and more reliable. We develop our technology from ground up to highly scalable and modular platforms that cater to various radar sensing applications.  Leveraging artificial intelligence and highly integrated analog front-end modules, Metawave is advancing automotive radar to the next-level to meet customers’  metrics and enabling mobile carriers to rollout high-capacity networks  seamlessly , economically and more efficiently.

Metawave demonstrated the first beamsteering radar system capable of distinguishing objects in all-weather and difficult driving conditions, SPEKTRATM radar platform, making travel safer and smarter. Metawave technology will bring high-speed connectivity to billions of users though our high-speed state-of-the-art 5G platforms, TURBOTM active repeaters and KLONETM passive relays, enabling connection in bustling cities, busy office buildings, crowded concerts and sporting events, and under-serviced pockets all around the world.  

Metawave is conquering the millimeter wave world of sensing and communication .




Your Role:

The Embedded Systems and Perception Engineer will be part of an RF system, and architecture team responsible to deliver the world’ s first 77 GHz radar with long-range imaging capabilities. You will develop the embedded software and firmware for our next generation radar and communication products. As part of our fast-growing team, you will be involved in the entire software life cycle including the design, architecture, implementation and test and verification of the software system.


  • Design and implement  advanced perception system based on Metawave’s radar design, data, and other sensors’ classifications

  • Work with team on building machine learning engine to scale company AI algorithms to various operation scenarios and customer’s requests

  • Work with team on defining, designing, implementing, and testing perception layer and its overall system integration

  • Assist with development of software for radar processor

  • Data analysis to assess and correct performance deficiencies

  • Develop functional demonstrations

  • Optimization for real-time implementation•

  • Performance assessment and reporting

  • Focus on continuous improvement and innovation

  • Strong problem solving skills


Minimum Qualifications:


  • 3+ years of hands-on experience with embedded software and DSP development

  • Demonstrated experience in one more of the following areas: machine learning, artificial intelligence(AI), digital signal processing

  • Demonstrated competency in implementation and optimization of signal processing algorithms

  • Has experience in the design of professional software systems for ARM based systems.

  • Preferably worked on embedded products, which are already accepted in the market.

  • Has experience using the appropriate development environments, tools and development kits preferably from vendors like Texas Instruments and Infineon.

  • Experience with multi-core processor platforms, which include but are not limited to ARM processors and digital signal processors (DSP) as well as different hardware accelerators.

  • Working knowledge of processor interactions and configuration with hardware accelerators.

  • Experience with perception development

  • Strong software development skills and software architecture knowledge

  • Demonstrated experience with major automated driving sensors (Lidar, Radar, Camera, etc.)

  • Solid C coding skills for algorithm’s production C code integration, debugging, compilation and data log re-simulation and applications to embedded systems

  • Capable of setting up and maintaining build system and configuration management (CMake, git, gitlab/github)

  • Proven record in automotive, medical, or avionics software/system development expertise

  • Familiarity with cameras and other sensors

  • Strong skills in embedded software design and architecture (Linux, CUDA, optionally DriveWorks) and multi-threading/multi-processing as well as IP networking

  • Cross-domain knowledge preferred (Machine Learning, cloud computing)

  • Strong problem solving skills

  • Excellent communication and interpersonal skills

  • Automotive radar experience is a plus, ideally for automotive grade radar

  • Excellent communication and interpersonal skills

  • Close attention to detail


  • MS Computer Science, EE, Mathematics, Physics or equivalent

Preferred Qualifications:

  • PhD in an above Discipline.

  • Experience in the Automotive Industry or in Mobile and Fixed Wireless Network Industry

  • Previous experience with startups transitioning to growth stage and beyond

Perks + Benefits:

  • Competitive salary package

  • Stock options for every employee

  • Hybrid in office and work from home plan

  • Healthcare + dental + vision + life & disability insurance

  • 401k plan

  • Flexible time off & paid holidays

  • Relocation assistance + reimbursement

  • Fitness Reimbursement

​​Metawave is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, service in the military, or any other  characteristic protected by applicable federal, state or local laws. We will make a reasonable accommodation for any qualified applicant with a disability, provided that the individual is otherwise qualified to safely perform the essential functions of the job with or without accommodation and that the accommodation would not impose an undue hardship on the operation of our business. Please let us know if you believe you require reasonable accommodation, or if you would like assistance to complete an application or to participate in an interview.

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