High Resolution 4D Imaging Radar

We use a patented solid state analog beamformer and off-the-shelf optical networking components to create a 4D high resolution representation of the world around us at the cost of conventional radars.

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General Radar Second Sight™

General Radar Second Sight™

General Radar Second Sight™

At long range, even large objects appear on radars as single point reflections making it impossible to recognize them from point cloud analysis.

Using multidimensional radar cross-section capture and machine learning, our technology can identify and track radar reflections from as far away as 300m to provide early warning for hazards and gather useful localization information.

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Stealth Radar for Military Grade Security

Stealth Radar for Military Grade Security

Stealth Radar for Military Grade Security

Interference with primary navigation sensors causes accidents. As use of radars becomes more commonplace on the roadways and in the skies so will radar interference from other vehicle.

General Radar emits a difficult to detect signal and doesn’t interfere with other radars. It’s also nearly impossible to intentionally jam.

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Automotive Sensor Comparison

Naked
Eye

Lidar
 

Lidar
in Rain

Lidar &
2D Radar

General
Radar

Perception:
Human

Conditions:
Ideal light and weather

Visible Objects:

  • Leading car
  • Overpass
  • Pothole

Undetected Objects:

  • Bicyclist

Threat Level:
Normal

Sensor Note:
Human eyesight is adequate for driving in good weather and light

Perception:
Lidar

Conditions:
Ideal light and weather

Visible Objects:

  • Leading car
  • Overpass
  • Pothole

Undetected Objects:

  • Bicyclist

Threat Level:
Elevated

Sensor Note:
Lidar provides high resolution scan in good weather. It is unable to detect the bicycle in the shadow of the leading car.

Perception:
Lidar

Conditions:
Heavy rain

Visible Objects:

  • Lidar range is severely reduced

Undetected Objects:

  • Leading car
  • Overpass
  • Pothole
  • Bicyclist

Threat Level:
Very high

Sensor Note:
Lidar system requires support in bad weather

Perception:
Lidar uses Lidar & 2D Radar

Conditions:
Heavy rain

Visible Objects:

  • Large object Immediately in front of it

Undetected Objects:

  • Bike and Pothole lost in noise
  • Unable to determine if bridge is road hazard

Threat Level:
High

Sensor Note:
2D Radars work in bad weather but are not primary sensors

Perception:
General Radar with Second Sight

Conditions:
Heavy Rain

Visible Objects:

  • Leading Car
  • Bridge
  • Pothole
  • Second Sight → Bicycle!

Undetected Objects:

  • None

Threat Level:
Below normal

Sensor Note:
General Radar generates 3D Point Clouds for the objects it clearly sees and Is able to guess at the objects that do clearly resolve.

Naked
Eye

Lidar

Lidar
in Rain

Lidar &
2D Radar

General
Radar

Introducing the Mark IV-RCS

Introducing the Mark IV-RCS

Introducing the Mark IV-RCS

General Radar is selling a high resolution, short to long range 3D scanning radar for the 76~81GHz automotive radar band for autonomous vehicle and ADAS applications called Mark IV. It features a robust, narrow-beam, analog beamformer, orthogonal modulation backend for secure and interference-resistant operation, point cloud data output, and multi-dimensional radar cross-section fingerprint software for object classification applications.

Analog Beamforming

Analog Beamforming

General Radar's patented solid state technology generates a low loss, high resolution point cloud. It paints a truer picture than pure digital beamforming, avoiding multipath errors, producing the lowest noise radar possible.

Pulse Compression

Pulse Compression

General Radar's patented Serdes-based processing drastically lowers build costs. Our encryption algorithms prevent benign interference and hacking.

Multi-dimensional Radar Cross Section Capture

Multi-dimensional Radar Cross Section Capture

General Radar's patented Second Sight™ system uses radar cross sections to detect road hazards and useful localization data up to 300m, long before a Human could perceive them.

Analog Beamforming

Analog Beamforming

General Radar's patented solid state technology generates a low loss, high resolution point cloud. It paints a truer picture than pure digital beamforming, avoiding multipath errors, producing the lowest noise radar possible.

Pulse Compression

Pulse Compression

General Radar's patented Serdes-based processing drastically lowers build costs. Our encryption algorithms prevent benign interference and hacking.

Multi-dimensional Radar Cross Section Capture

Multi-dimensional Radar Cross Section Capture

General Radar's patented Second Sight™ system uses radar cross sections to detect road hazards and useful localization data up to 300m, long before a Human could perceive them.

Mark IV Radar Product Sheet

Leadership

Dmitry Turbiner

Founder, CTO


Okie Williams

Co-Founder, Dir. of Engineering


Nol Browne

CEO


Christian Kurzke

Software Lead


Prof. Howard Zebker

Board of Advisors


Ilia Lebedev

Hardware Architect


Sergio Rodriguera, Jr

Board of Advisors


×

Dmitry Turbiner

Founder, CTO

Dmitry Turbiner is a founder, inventor of multiple foundational technologies and a hardware engineer with a BS in Electrical Engineering from MIT and an MS from Stanford University. He dropped out of Stanford in 2016 to found General Radar to revolutionize AI based radar technology for use in autonomous systems and long range perception. An expert in high speed electronics, RF, computing and sensing devices, Dmitry invented and developed the original prototype, secured over $8M in seed funding from Kleiner Perkins, and some of the most reputable angel investors in the field. Over the last couple years, Dmitry assembled a team of over fifteen extremely talented and broad-skilled engineers and executives from MIT and Stanford. Together, the team has developed four generations of radar and one lidar system and is delivering solutions to a variety of problems in both the commercial and defense space, including the United States Air Force.

Prior to Genrad, Dmitry was a Microwave Engineer at NASA/JPL where he served as the Chief Engineer for the COSMIC-2/FORMOSAT-7 Mission’s Radio Occultation Antenna Array. Currently, twelve of Dmitry’s Antennas are orbiting on a constellation of six LEO satellites, launched by a SpaceX Falcon Heavy from LC-39A at Kennedy Space Center. Dmitry also holds two issued patents in the field of Antenna design and three patents pending in Radar, as well as a groundbreaking invention of a Petascale chip in partnership with Professor Danny Bankman at Carnegie Mellon University.

Dmitry is passionate about solving complex, mission critical engineering problems at cost and scale.

×

Okie Williams

Co-Founder, Dir. of Engineering

Okie Williams joined Dmitry as Co-founder and Director of Engineering of General Radar in 2016. He leads General Radar's engineering team, from design and manufacturing to software development.

Prior to General Radar, Okie worked at Apple, Analog Devices, and a handful of hardware start-ups around Cambridge, MA as both a co-founder and an engineer. Okie holds patents in multiple areas, from sensor data processing algorithms for mobile devices, augmented reality gaming, technology related to micro pick-and-place robots, and radar innovations regarding work at General Radar.

Okie studied EECS as an undergraduate at MIT after which he started a company building custom machine learning chips for robotics applications.

×

Nol Browne

CEO

Two-time automotive start-up executive and serial entrepreneur, Nol joined General Radar in 2018. Previously, he was the business leader for Capio, a machine learning enabled speech recognition company acquired by Twillio in 2019.

A technical business developer, investor, fundraiser and board member specializing in commercialization of emerging technologies to reinvent established industries, Nol has nearly 20 years of executive experience in both multinational corporations and startup companies. He was the Founding Director of the Fraunhofer Center for Sustainable Energy Systems at MIT, an applied R&D lab working with industry to commercialize clean energy technology and is known for his ability to manage leading technical teams addressing some of the world’s toughest challenges. At Fraunhofer, Nol both led the Boston and New Mexico based research centers and helped manage the global organization’s research partnerships in North America.

Previously, Nol was the founding partner of ADL Ventures, a boutique corporate venturing firm helping mid-cap companies develop new enterprises in energy, construction, semiconductor materials and transportation. Prior to that he successfully co-founded and operated CleanTech accelerators including Fraunhofer TechBridge and holds board seats in a number of energy related concerns. He's a three time invited speaker at the National Academy of Science and has more recently spoken at TedX on innovation in change resistant industries .

He holds graduate degrees from Johns Hopkins and the Massachusetts Institute of Technology. While at MIT, Browne co-founded the MIT Energy Conference.

×

Christian Kurzke

Software Lead

Christian Kurzke leads the General Radar Machine Learning and Software development.

Previously a program manager on the Google's Android Auto tea and a founder and CTO of Cognomotiv, a machine learning enabled automotive start-up, he has held key technical roles at SUN and Motorola.

Christian has deep experience developing high reliability embedded system software and has contributed to many software standards. He was the creator of the VxWorks HTTP server and co-creator of the OSGI Standards, bringing the early Internet to embedded devices and laying the foundation for today's IoT and smart devices.

Christian graduated from University Erlangen (Germany) with a Master degree in Information Science and Electrical Engineering, and also holds an MBA from Santa Clara University.

×

Prof. Howard Zebker

Board of Advisors

Howard’s research group specializes in interferometric radar remote sensing applications and technique development, as applied to studies of the Earth and solar system. Originally a microwave engineer, he built support equipment for the SEASAT satellite synthetic aperture radar and designed airborne radar systems. He later developed imaging radar polarimetry, a technique for measurement of the radar scattering matrix of a surface. He is best known for the development of radar interferometry, leading to spaceborne and airborne sensors capable of measuring topography to meter scale accuracy and surface deformation to mm scale. More recently he has been participating in the NASA Cassini Mission to Saturn, concentrating on analysis of data acquired by the radar/radiometer instrument. He is a Fellow of the AGU, IEEE, and Electromagnetics Academy. He has served on a number of National Academy panels, mostly for the Space Studies Board, plus the Naval Studies Board Advanced Radar Technology Panel. He holds a joint appointment with the Department of Electrical Engineering at Stanford, where he serves as Associate Chair for admissions.

×

Ilia Lebedev

Hardware Architect

Ilia Lebedev, a PhD candidate at MIT's Computer Science and Artificial Intelligence Lab, is a thought leader in computer systems security with a focus in trusted execution environments and remotely attested computation. He has a deep background in computation structures, reconfigurable computing, and systems architecture. As a teacher, he has worked on advancing accessible computer science education and outreach, as illustrated by his 2016 Hazen award for outstanding teaching. Outside of his academic career, he is a sailing ship captain, a bartender, and an all-around inquisitive individual.

×

Sergio Rodriguera, Jr

Board of Advisors

Sergio served as an Intelligence Officer in the US Navy and conducted three combat deployments, including Kabul, Afghanistan where he was Executive Officer of the Afghanistan Threat Finance Cell, earning the Defense Meritorious Service Medal. Prior to his deployment he helped advise the Assistant Secretary of Defense for Special Operations/Low Intensity Conflict (SO/LIC)

Dmitry Turbiner

Founder, CTO


×

Dmitry Turbiner

Founder, CTO

Dmitry Turbiner is a founder, inventor of multiple foundational technologies and a hardware engineer with a BS in Electrical Engineering from MIT and an MS from Stanford University. He dropped out of Stanford in 2016 to found General Radar to revolutionize AI based radar technology for use in autonomous systems and long range perception. An expert in high speed electronics, RF, computing and sensing devices, Dmitry invented and developed the original prototype, secured over $8M in seed funding from Kleiner Perkins, and some of the most reputable angel investors in the field. Over the last couple years, Dmitry assembled a team of over fifteen extremely talented and broad-skilled engineers and executives from MIT and Stanford. Together, the team has developed four generations of radar and one lidar system and is delivering solutions to a variety of problems in both the commercial and defense space, including the United States Air Force.

Prior to Genrad, Dmitry was a Microwave Engineer at NASA/JPL where he served as the Chief Engineer for the COSMIC-2/FORMOSAT-7 Mission’s Radio Occultation Antenna Array. Currently, twelve of Dmitry’s Antennas are orbiting on a constellation of six LEO satellites, launched by a SpaceX Falcon Heavy from LC-39A at Kennedy Space Center. Dmitry also holds two issued patents in the field of Antenna design and three patents pending in Radar, as well as a groundbreaking invention of a Petascale chip in partnership with Professor Danny Bankman at Carnegie Mellon University.

Dmitry is passionate about solving complex, mission critical engineering problems at cost and scale.

Okie Williams

Co-Founder, Dir. of Engineering


×

Okie Williams

Co-Founder, Dir. of Engineering

Okie Williams joined Dmitry as Co-founder and Director of Engineering of General Radar in 2016. He leads General Radar's engineering team, from design and manufacturing to software development.

Prior to General Radar, Okie worked at Apple, Analog Devices, and a handful of hardware start-ups around Cambridge, MA as both a co-founder and an engineer. Okie holds patents in multiple areas, from sensor data processing algorithms for mobile devices, augmented reality gaming, technology related to micro pick-and-place robots, and radar innovations regarding work at General Radar.

Okie studied EECS as an undergraduate at MIT after which he started a company building custom machine learning chips for robotics applications.

Nol Browne

CEO


×

Nol Browne

CEO

Two-time automotive start-up executive and serial entrepreneur, Nol joined General Radar in 2018. Previously, he was the business leader for Capio, a machine learning enabled speech recognition company acquired by Twillio in 2019.

A technical business developer, investor, fundraiser and board member specializing in commercialization of emerging technologies to reinvent established industries, Nol has nearly 20 years of executive experience in both multinational corporations and startup companies. He was the Founding Director of the Fraunhofer Center for Sustainable Energy Systems at MIT, an applied R&D lab working with industry to commercialize clean energy technology and is known for his ability to manage leading technical teams addressing some of the world’s toughest challenges. At Fraunhofer, Nol both led the Boston and New Mexico based research centers and helped manage the global organization’s research partnerships in North America.

Previously, Nol was the founding partner of ADL Ventures, a boutique corporate venturing firm helping mid-cap companies develop new enterprises in energy, construction, semiconductor materials and transportation. Prior to that he successfully co-founded and operated CleanTech accelerators including Fraunhofer TechBridge and holds board seats in a number of energy related concerns. He's a three time invited speaker at the National Academy of Science and has more recently spoken at TedX on innovation in change resistant industries .

He holds graduate degrees from Johns Hopkins and the Massachusetts Institute of Technology. While at MIT, Browne co-founded the MIT Energy Conference.

Christian Kurzke

Software Lead


×

Christian Kurzke

Software Lead

Christian Kurzke leads the General Radar Machine Learning and Software development.

Previously a program manager on the Google's Android Auto tea and a founder and CTO of Cognomotiv, a machine learning enabled automotive start-up, he has held key technical roles at SUN and Motorola.

Christian has deep experience developing high reliability embedded system software and has contributed to many software standards. He was the creator of the VxWorks HTTP server and co-creator of the OSGI Standards, bringing the early Internet to embedded devices and laying the foundation for today's IoT and smart devices.

Christian graduated from University Erlangen (Germany) with a Master degree in Information Science and Electrical Engineering, and also holds an MBA from Santa Clara University.

Prof. Howard Zebker

Board of Advisors


×

Prof. Howard Zebker

Board of Advisors

Howard’s research group specializes in interferometric radar remote sensing applications and technique development, as applied to studies of the Earth and solar system. Originally a microwave engineer, he built support equipment for the SEASAT satellite synthetic aperture radar and designed airborne radar systems. He later developed imaging radar polarimetry, a technique for measurement of the radar scattering matrix of a surface. He is best known for the development of radar interferometry, leading to spaceborne and airborne sensors capable of measuring topography to meter scale accuracy and surface deformation to mm scale. More recently he has been participating in the NASA Cassini Mission to Saturn, concentrating on analysis of data acquired by the radar/radiometer instrument. He is a Fellow of the AGU, IEEE, and Electromagnetics Academy. He has served on a number of National Academy panels, mostly for the Space Studies Board, plus the Naval Studies Board Advanced Radar Technology Panel. He holds a joint appointment with the Department of Electrical Engineering at Stanford, where he serves as Associate Chair for admissions.

Ilia Lebedev

Hardware Architect


×

Ilia Lebedev

Hardware Architect

Ilia Lebedev, a PhD candidate at MIT's Computer Science and Artificial Intelligence Lab, is a thought leader in computer systems security with a focus in trusted execution environments and remotely attested computation. He has a deep background in computation structures, reconfigurable computing, and systems architecture. As a teacher, he has worked on advancing accessible computer science education and outreach, as illustrated by his 2016 Hazen award for outstanding teaching. Outside of his academic career, he is a sailing ship captain, a bartender, and an all-around inquisitive individual.

Sergio Rodriguera, Jr

Board of Advisors


×

Sergio Rodriguera, Jr

Board of Advisors

Sergio served as an Intelligence Officer in the US Navy and conducted three combat deployments, including Kabul, Afghanistan where he was Executive Officer of the Afghanistan Threat Finance Cell, earning the Defense Meritorious Service Medal. Prior to his deployment he helped advise the Assistant Secretary of Defense for Special Operations/Low Intensity Conflict (SO/LIC)

Career Opportunities

General Radar is a venture-backed startup that is developing state-of-the-art, high-resolution imaging radar for autonomous vehicles and robotics.

We are looking to hire a senior embedded systems/operating systems engineer to join our engineering team in Menlo Park, CA.

  • On site presence necessary, some remote work possible
  • Full time availability preferred; part time possible for the right candidates

Requirements and responsibilities

  • Experience with low-level embedded software (C, C++, Linux kernel), python
  • Implement and test embedded firmware for radar control, processing algorithms, and status monitoring
  • Implement user-mode and kernel-space device drivers in Linux
  • Implement data capture and processing pipelines and applications
  • Interface with machine-learning and sensor fusion applications
  • Characterize and visualize radar data

Nice to Have

  • Experience with STM32 or Cortex M3/M4/R4 microcontrollers
  • Experience with Xilinx FPGA IP and/or Xilinx XDMA
  • Experience with radar, lidar, or other spatial sensing systems
  • Experience with machine learning
  • Experience with time synchronization protocols, sensor fusion algorithms, data coregistration
  • Experience with autonomous vehicles

Benefits of Working at Genrad

  • Challenging work with a world-class technical team
  • Opportunities for rapid promotion as our company scales
  • Options in a company approaching valuation inflection point
  • Top tier medical, dental and vision insurance
  • Remote work opportunities
  • Flexible vacation policy
  • Stocked kitchen

Apply Now

General Radar is a venture-backed startup that is developing state-of-the-art, high-resolution imaging radar for autonomous vehicles and robotics.

We are looking to hire a senior HDL developer/FPGA engineer to join our engineering team in Menlo Park, CA.

  • Contract-to-permanent position (at least 4 months)
  • Full-time availability preferred; part-time depending on candidate’s skill se

Responsibilities

  • Implement and test radar signal processing algorithms and DSP
  • Implement and optimize high-speed data acquisition and processing pipelines
  • Interface with SERDES, DDR4 and other high-speed digital protocols such as PCIe, Aurora, AXI4
  • Write constraints for FPGA timing closure
  • Interface with embedded software team to implement end-to-end data processing

Qualifications

  • Experience with Verilog
  • Experience with Xilinx FPGAs and Xilinx IP (GT, AXI, Aurora/SelectIO), Vivado/ISE
  • Experience with Linux, Git

Nice to Have

  • Experience with low-level embedded software (C, C++, Linux kernel), Python, TCL
  • Experience with SoC and processor design
  • Experience with radar, lidar, or other spatial sensing systems
  • Experience with radar algorithms such as doppler FFT, matched filters, CFAR, object segmentation and tracking, etc.
  • Experience with machine learning
  • Experience with high-speed circuit design
  • Experience with time synchronization protocols, sensor fusion algorithms, data co-registration
  • Experience with autonomous vehicles 

Apply Now

Contact Us

General Radar Corporation

186 Constitution Dr,

Menlo Park, CA, 94025

sales@genrad.io

Email

General Radar Corporation