Join us on the journey to help build the world using applied robotics and AI!

Novarc Technologies is a full-stack robotics company helping to build the world using applied robotics and AI. Recognized as one of the fastest-growing companies in the Americas by the Financial Times for two consecutive years, we are at the epicenter of innovation and global expansion. Join our dynamic team as we extend our reach across four continents, blending pioneering welding technology with a profound global impact. It's a captivating time to be part of our journey – here, you'll do more than just work; you'll be an integral part of a movement shaping the tech-driven future.

Novarc Technologies is looking for a Senior Systems Engineer to join our growing team and support the production of our cobots.

Summary: As a Senior Systems Engineer, reporting to the Director of Machine Vision, you will play a crucial role in designing, developing, and implementing cutting-edge hardware solutions for our machine vision systems. Your expertise will be instrumental in enhancing the performance, accuracy, and efficiency of our vision-based products and technologies.

Duties and Responsibilities:

• Hardware Design: Design, develop, and optimize hardware components for machine vision systems, including image sensors, lenses, cameras, lighting systems, and embedded compute platforms.

• Firmware Development: Write efficient and robust firmware code to control and interface with hardware components, ensuring seamless communication and synchronization within the machine vision system.

• System Integration: Collaborate with cross-functional teams, including software engineers and researchers, to integrate hardware solutions seamlessly with the overall machine vision system.

• Prototyping: Build and test hardware prototypes to validate concepts and identify areas for improvement in performance and reliability.

• Performance Optimization: Conduct rigorous testing and analysis to optimize the performance of machine vision hardware, ensuring high-quality image capture, processing, and feature extraction.

• Customization: Customize and adapt off-the-shelf hardware components to meet Mechanical/Electrical/System requirement and achieve desired performance targets.

• Hardware Debugging: Identify and resolve hardware-related issues through thorough testing and debugging, employing both hardware and software tools as needed.

• Quality Assurance: Implement robust testing procedures to ensure the reliability and quality of the hardware components and systems.

• Documentation: Create detailed technical documentation, including design specifications, test plans, and reports, to ensure effective communication within the team and across departments.

• Continuous Learning: Stay up-to-date with the latest advancements in machine vision hardware, sensors, cameras, and related technologies, and apply relevant knowledge to improve product development.

• Collaboration: Collaborate with external suppliers and manufacturers to source and evaluate hardware components and ensure timely delivery of materials.

• Regulatory Compliance: Ensure all hardware designs and solutions comply with industry standards and regulations for Safety and EMC.

Minimum Qualifications and Experience:

• Education: Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. Specialization in computer vision or image processing is a plus.

• Experience: A minimum of 5 years of experience in the design and development of machine vision hardware and/or sensor-based embedded systems. Hands-on experience for prototyping.

• Technical Skills: Proficiency in hardware design tools (e.g., Altium, Cadence) and familiarity with image sensors, optics, and imaging hardware. Experience with FPGA and ASIC design is highly desirable.

• Programming Skills: Familiarity with programming languages such as Python, C/C++, Verilog, or VHDL for hardware verification and interfacing.

• Problem-Solving: Strong analytical and problem-solving skills to identify and address hardware-related challenges effectively.

• Team Player: Excellent collaboration and communication skills to work effectively within a multidisciplinary team environment.

• Innovative Mindset: Demonstrated ability to think creatively and propose novel solutions for hardware design challenges.

• Attention to Detail: A meticulous approach to testing, debugging, and ensuring the reliability of hardware components.

• Industry Knowledge: Familiarity with machine vision principles, image processing techniques, and computer vision algorithms is a plus.

• Adaptability: Ability to adapt to a fast-paced and dynamic work environment with evolving project requirements.

About Novarc Technologies:

Novarc Technologies is a full-stack robotics company specializing in the design and manufacturing of cobots and AI-based machine vision solutions for autonomous welding. Novarc’s Spool Welding Robot (SWR) is the world’s first of its kind in pipe welding applications. As a proven pioneer in the field, Novarc’s team is dedicated to solving challenging welding automation problems that improve customers’ bottom line.

Why Novarc:

• Growing Opportunities - We are in the process of maturing into a fast-growing medium-sized business.

• Great place to be - We have created a fun, adventurous, and open-minded environment where our teams are encouraged to bond and expose a little weirdness.

• Best People - Our team is made up of talented, intelligent, and hardworking people.

• Lots of Opportunities - We are constantly looking for stand-out talent internally to move into leadership positions.

We are excited to invite you to join our growing team for this amazing journey!

"Novarc provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, national or ethnic origin, color, political belief, marital or family status, religion, special abilities, age, sex or sexual orientation, or a criminal conviction or charge that is unrelated to employment of to the intended employment of that person. This applies to all our practices of recruitment, selection, promotion, training and development, health and safety, and compensation."