Nuro
Senior Software Engineer, ML Infra Model Inference
Nuro, Mountain View, California, us, 94039
Who We Are
Nuro exists to better everyday life through robotics. The company’s custom electric autonomous vehicles are designed to bring the things you need—from produce to prescriptions—right to your home. Nuro’s autonomous, goods-focused solution can give you valuable time back and more freedom to do what you love. This convenient, eco-friendly alternative to driving has the potential to make streets safer and cities more livable.
About The Team
The ML Infra team is growing and we are looking for talented engineers to join us. Nuro is pursuing an ML-first software stack. Our team provides solutions to empower machine learning development in Nuro and optimize offboard training and onboard inference. Our solutions include a distributed training platform, ML compiler, model components libraries, etc.
About The Work
Spearhead the creation of state-of-the-art machine learning compiler technology. Focus on enhancing the latency and memory efficiency of deep learning models for onboard inference.Conduct thorough profiling of current deep learning models to pinpoint inefficiencies. Collaborate closely with machine learning engineers to refine and redesign models, aiming to significantly boost their performance.Lead the charge in incorporating cutting-edge technologies, tools, and algorithms. Your goal will be to substantially elevate the efficiency and effectiveness of our deep learning models.Take the initiative to refine and optimize the existing codebase related to model inference technologies at Nuro. Your efforts will be key in enhancing machine learning development productivity and effectiveness.About You
4+ years of work experience in machine learning or backend infrastructure.Have knowledge in using at least one deep learning framework, e.g., TensorFlow, PyTorch, Caffe. Be able to implement basic deep learning algorithms, e.g., classification, detection.Proficient in C++/C and Python. Strong coding ability.You are passionate about accelerating the benefits of robotics for everyday life.
Compensation and Benefits
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $167,200 and $250,800 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.#J-18808-Ljbffr
Nuro exists to better everyday life through robotics. The company’s custom electric autonomous vehicles are designed to bring the things you need—from produce to prescriptions—right to your home. Nuro’s autonomous, goods-focused solution can give you valuable time back and more freedom to do what you love. This convenient, eco-friendly alternative to driving has the potential to make streets safer and cities more livable.
About The Team
The ML Infra team is growing and we are looking for talented engineers to join us. Nuro is pursuing an ML-first software stack. Our team provides solutions to empower machine learning development in Nuro and optimize offboard training and onboard inference. Our solutions include a distributed training platform, ML compiler, model components libraries, etc.
About The Work
Spearhead the creation of state-of-the-art machine learning compiler technology. Focus on enhancing the latency and memory efficiency of deep learning models for onboard inference.Conduct thorough profiling of current deep learning models to pinpoint inefficiencies. Collaborate closely with machine learning engineers to refine and redesign models, aiming to significantly boost their performance.Lead the charge in incorporating cutting-edge technologies, tools, and algorithms. Your goal will be to substantially elevate the efficiency and effectiveness of our deep learning models.Take the initiative to refine and optimize the existing codebase related to model inference technologies at Nuro. Your efforts will be key in enhancing machine learning development productivity and effectiveness.About You
4+ years of work experience in machine learning or backend infrastructure.Have knowledge in using at least one deep learning framework, e.g., TensorFlow, PyTorch, Caffe. Be able to implement basic deep learning algorithms, e.g., classification, detection.Proficient in C++/C and Python. Strong coding ability.You are passionate about accelerating the benefits of robotics for everyday life.
Compensation and Benefits
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $167,200 and $250,800 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.#J-18808-Ljbffr