Principal Electrical Engineer, Veo Robotics

FPGA

Salary not provided
Senior and Expert level
Boston

Office located in Waltham, MA

Veo Robotics

Next gen collaborative robotics systems

Job no longer available

Veo Robotics

Next gen collaborative robotics systems

21-100 employees

B2BArtificial IntelligenceManufacturingRobotics

Job no longer available

Salary not provided
Senior and Expert level
Boston

Office located in Waltham, MA

21-100 employees

B2BArtificial IntelligenceManufacturingRobotics

Company mission

To make manufacturing flexible from the workcell to the entire factory.

Role

Who you are

  • An electrical engineer with 7+ years of professional experience with ASIC / FPGA design
  • Experienced in all aspects of logic design - architecture, design, simulation, P&R, timing closure
  • Methodical in your approach to experimentation and analysis
  • Highly collaborative, and excited to work with a multidisciplinary team
  • A first-principles thinker who loves to tackle challenging technical problems

Desirable

  • Experience with 3D sensors, computer vision, machine vision, or industrial automation
  • Experience in regulated environments such as medical devices/ISO 13485 or functional safety/IEC 61508/ISO 13849, DO-178C/DO-254 or IEC 26262
  • Experience with Quartus tools for FPGA development
  • Experience with Questa verification tools

What the job involves

  • Design, set up, and run experiments to quantify 3D sensor performance and drive hardware design
  • Architect and implement algorithms for high reliability sensing
  • Design and implement real time FPGA based logic
  • Design and maintain verification environments
  • Run and analyze full chip level tests

Otta's take

Xav Kearney headshot

Xav Kearney

CTO of Otta

Veo builds technology that gives standard industrial robots the ability to perceive and respond to their surroundings so they can work safely alongside humans. This enables manufacturers to build more fluid, efficient, and flexible production lines.

Manufacturing has not, and in many aspects cannot, become completely automated, which makes Veo’s sensing and control systems so integral to allowing safe human-robot collaboration. Systems such as Freemove, Veo’s proprietary software, allow greater flexibility with regard to adapting to manufacturing demands. With the global industrial market projected to surpass $100 billion by 2027, continuing to refine and redefine safe and effective human-robot workcells is critical to commanding market share.

A variety of competitors, including Rethink Robotics, Robotex, and Universal Robots are continuing to push the boundaries regarding adaptable and effective human-robot interfaces. Collaborative partnerships with other robotic enterprises, such as Calvary Robotics, will allow Veo Robotics to continue to create smoother and more effective human-robot partnerships.

Insights

Led by a woman
Top investors

-31% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Apr 2023

$14m

SERIES B

Feb 2019

$15m

SERIES A

Total funding: $41m

Company benefits

  • Work from home opportunities

Company HQ

Warrendale, Waltham, MA

Founders

Software business leader and entrepreneur with demonstrated success in founding, growing, and leading multiple companies that use highly innovative technologies in computer vision, machine learning, and robotics.

Clara Vu has been building autonomous robots for over 20 years. They began their career at iRobot in its early days, where they developed robots for oil well exploration and wrote the programming language behind Roomba. After iRobot’s IPO, Clara went on to found Harvest Automation, where they led software development for their autonomous agricultural materials handling system.

Scott Denenberg

(VP Engineering)

Scott has a PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign. They are experienced in electromagnetic modeling, analog and digital circuit design, numerical methods and software development. They have been granted multiple patents on electromagnetic sensor design, sensor electronics, and sensor systems.

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