Computer Vision and Deep Learning Engineer at D3 Embedded
United States
$0.107k - $0.155k
<strong>Computer Vision and Deep Learning Engineer</strong><br><br><strong>Department: </strong>Product Design Services <br><strong>FLSA Status: </strong>Exempt <br><strong>Reports to</strong>: PDS Operations Manager<br><strong>Pay Range</strong>: $106,800 - $154,800 annually <br><strong>Location:</strong> Rochester, NY <p><strong>The Role: </strong></p><p>D3 Embedded is seeking a skilled Computer Vision and Deep Learning Engineer to develop and implement cutting-edge AI solutions. This role involves designing, training, and optimizing deep learning models for image and video analysis, object detection, and pattern recognition. The ideal candidate has experience with machine learning frameworks (PyTorch, TensorFlow), computer vision algorithms, and real-world deployment of AI models. This position requires strong problem-solving skills and collaboration with cross-functional teams to drive innovation and enhance product capabilities. </p><p><strong>Responsibilities: </strong></p><ul><li>Research, develop, and integrate CV/AI solutions for perception problems such as object detection, instance segmentation, sensor fusion, pose estimation etc.  </li><li>Translate product feature requirements to design specifications and devise high-level software architectures to meet requirements and guide design trade-off decisions.  </li><li>Deploy real-time, optimized CV/AI solutions to embedded and edge platforms.  </li><li>Own the full life cycle of new products/solutions from proof of concept to integration with other components and teams.  </li><li>Collaborate with management and technical teams on product strategies  </li><li>Participate in all phases of the product development cycle including:  </li><li>requirements definition and architecture  </li><li>software design and development  </li><li>implementing software  </li><li>software/hardware integration  </li><li>verification and validation, and customer support  </li><li>Develop & identify tools / methods for better design reuse & process improvement  </li><li>Participate in design reviews and provide technical oversight  </li></ul><p><strong>Additional Responsibilities: </strong></p><ul><li><p>Other duties as assigned </p></li></ul><p><strong>The Right Person Will Have (Required): </strong></p><ul><li>Bachelor of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer/Electrical/Software Engineering, or related field.  </li><li>0-5 years of experience </li><li>Excellent problem solving & troubleshooting skills.  </li><li>Proficiency in Python and C++  </li><li>Proficiency with OpenCV  </li><li>Proficiency with PyTorch, TensorFlow, or related machine learning framework(s)  </li><li>Experience with fine-tuning and transfer learning AI models  </li><li>Ability to design end-to-end processing pipelines for custom use cases  </li><li>Self-Driven personality  </li><li>Capable of a big picture, system-oriented approach  </li><li>Solid technical leadership skills  </li><li>Strong communication and interpersonal skills  </li></ul><p><strong>The Right Person Will Have (Preferred): </strong></p><ul><li>Experience with autonomous/industrial robotic platforms and applications  </li><li>Experience with embedded and edge processing platforms (Nvidia Jetson devices and TensorRT in particular)  </li><li>Experience with edge AI accelerators (integration, model conversions, deployment, profiling, etc.)  </li><li>Knowledge of intrinsic and extrinsic calibration procedures for multi-modal sensor systems  </li><li>Experience with sensor fusion techniques (calibration, early, mid, late fusion, etc.)  </li><li>Knowledge of camera optics and computational geometry  </li><li>Gstreamer experience  </li><li>Robot Operating System (ROS) experience  </li><li>Experience with version control systems such as GIT and DVC  </li><li>Experience with GPU programming frameworks such as OpenCL and CUDA  </li></ul><p><strong>The Benefits: </strong></p><ul><li>Competitive total compensation </li><li>Medical and dental coverage </li><li>Employer paid basic life, short-term disability, and identity theft coverage </li><li>Voluntary vision, life, long-term disability, accident, critical illness coverage </li><li>401k retirement contribution </li><li>Paid holidays, time-off, and sick time </li><li>Tuition assistance and employer paid professional development </li><li>Flexible work schedules </li><li>Remote opportunities available </li><li>Complimentary snacks and beverages </li><li>Employer sponsored social events </li></ul><p><strong>The Company: </strong></p><p>Since our founding in 1999, D3 Embedded has driven innovation in high-performance embedded systems development. We leverage our expertise in autonomous machines, sensors, imaging, optics, edge computing, algorithms, robotics, and electrification to provide cutting-edge engineering design and low-volume manufacturing services. Headquartered in Rochester NY, we serve a global network of customers and are proudly connected with many technology leaders and Fortune 500 companies. We are interested in bright, creative, and team-oriented individuals exhilarated by the opportunity to transform the world through frontier technologies. </p><p>Candidates must be eligible to work in the United States.  D3 Embedded does not sponsor visas. For more information about D3 Embedded, please visit <a href="http://www.d3embedded.com/" target="_blank">www.d3embedded.com</a>. </p><p>D3 Embedded is committed to fostering a diverse work environment and proud to be an Equal Opportunity Employer. We consider and hire applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law. </p><p>D3 Embedded participates in <a href="https://www.e-verify.gov/employees/e-verify-overview" target="_blank">E-Verify</a>, a federal program that confirms employment eligibility upon hire.</p>
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