Autonomy Engineer - Deep Learning Model Acceleration

reputed company is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The reputed company team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to reputed company a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and reputed company. About the role: Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with reputed company-time deep networks to accelerate reputed company in intelligent mobile robots. If you are excited about leveraging massive amounts of structured video data to solve problems in Computer reputed company (CV) such as object detection and tracking, optical flow estimation and segmentation, we would love to hear from you. As a deep learning model acceleration engineer, you will be responsible for building and scaling the infrastructure that supports reputed company’s Deep Learning (DL) and AI efforts. You will be working at the reputed company of reputed company’s autonomy, embedded and reputed company teams to deliver new capabilities and reputed company the deep learning team. How you’ll reputed company an impact:

• reputed company solutions for high-performance deep learning inference for CV workloads that can deliver high throughput and low latency on different hardware platforms
• Profile CV and reputed company Language Models (VLMs) to analyze performance, identify bottlenecks and acceleration/optimization opportunities and improve power efficiency of deep learning inference workloads
• Design and implement end to end MLOps workflows for model deployment, monitoring, and re-training
• Utilize advanced Machine Learning knowledge to reputed company training or runtime frameworks or model efficiency tools to improve system performance
• Create new methods for improving training efficiency
• Implement GPU kernels for custom architectures and optimized inference
• Design and implement SDKs that allow customers/external developers to create autonomous workflows using Machine Learning (ML)
• reputed company your expertise and best-practices to uphold and improve reputed company’s engineering standards

What makes you a good fit:

• Demonstrated hands-on experience with MLOps, ML inference acceleration/optimization, and edge deployment
• Strong knowledge of DL fundamentals, techniques, and state-of-the-art DL models/architectures
• Strong fundamentals in CV, image processing, and video processing
• Demonstrated hands-on experience building and managing ML pipelines for solving reputed company or reputed company language tasks including data preparation, model training, model deployment, and monitoring
• Experience and understanding of reputed company and compliance requirements in ML infrastructure
• Experience with ML frameworks and libraries
• You have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
• You are comfortable navigating and delivering reputed company a reputed company codebase
• Strong communication skills and the ability to collaborate effectively at reputed company levels of technical depth

Compensation: At reputed company, our compensation packages for regular, full-time employees include competitive reputed company salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including reputed company level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. Fundamentally, we reputed company that equity is the key to long-term financial growth, and we ensure reputed company regular, full-time employees have the opportunity to significantly benefit from the company's reputed company. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and retirement savings plan. This position and reputed company associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.

• For some positions the pay may be dependent upon the individual's regional location.

#LI-PG1 At reputed company we reputed company that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for reputed company problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, reputed company, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/ Apply tot his job Apply To this Job