Scythe Robotics
Software Engineer, Machine Learning Deployment and GPU Development
Scythe Robotics, Little Ferry, New Jersey, us, 07643
Our Mission at Scythe
Humanity has lost touch with nature - we’ve traded dirt and trees for asphalt, and we rely on loud, polluting, gas-powered machines to care for our limited natural spaces.
Scythe is forging a new future by building intelligent, all-electric machines that unlock a new superpower: the ability to care for the outdoors pollution-free at enormous scale. From today’s first steps in landscape maintenance to full-fledged re-terraforming in the future, Scythe is pioneering autonomous machinery that supports the ingenuity of humans, multiplying our power to nurture our planet.
At Scythe, you’ll work with a team of world-class experts in everything from computer vision to mechanical engineering, pushing the limits of possibility and growing by overcoming hurdles along the way.
The world needs what we’re building—come join us in making it a reality.
Software Engineer, ML Deployment and GPU Development at Scythe
We are looking for a Software Engineer focused on neural network deployment and GPU software development to join our team. The ideal candidate has experience deploying complex neural networks on hardware in challenging runtime-critical applications and leveraging GPU capabilities to accelerate workloads. This role is key to Scythe utilizing state-of-the-art machine learning models, maximizing the performance of our autonomous mower M.52, and providing reliable model deployment to our customers.You’ll work in concert with teammates from across the company to build a rich understanding of product needs and bring those ideas to life. We expect you to be broadly experienced to be able to “see around corners”, to thrive in a fast-paced, self-managed engineering environment, and to be a collaborative, low-ego teammate who helps Scythe realize its big mission.What you’ll do at ScytheWork with developers to optimize new models for in-vehicle deploymentBuild and maintain evaluation tooling to monitor the performance of offline and online modelsWork cross-functionally as a member of the Perception teamWrite clean, performant, testable codeLeverage our extensive and growing data to train state-of-the-art ML modelsImplement and frequently ship new ML solutions onto M.52Perform on-vehicle testing and data collection as necessaryManage deployment and dependencies of perception software on-vehicleWhat you know wellModern C++ and PythonPyTorch, TensorRT, and CUDARuntime performance profiling on x86, ARM and Nvidia GPUsComfort iterating on complex problems and models: problem definition, data, bring-up, debugging, evaluation and deploymentFamiliarity with Linux and AWSWhat you’ve maybe doneWorked with robots or other resource-constrained platformsDeployed ML models to productionCompiled ML models to multiple platformsProfiled and optimized ML models using CUDAExperience working with camera, lidar, and radar data in a robotics applicationWhy Scythe?Scythe is an early-stage but well-capitalized startup. Have a huge impact alongside an awesome team of experts shipping something the world has never before seenCompetitive salary and equity compensationFully-sponsored medical, vision, and dental insurance, including 75% funded dependent coverage401(k) retirement plan (non-matching today)Headquarters in beautiful Longmont, CO (near Boulder, CO.) Enjoy the bounties of nature and open spaces close to home with mountain biking, hiking, skiing and more.Satellite offices in Austin, TX and Fort Pierce, FLFlexible paid time-off and remote work to let you do your best work where and when you want
(For Non-Exempt Employees, please use:
120 hours per year paid time-off )Highly collaborative learning culture where personal freedom, growth, and responsibility are valuedAn opportunity to have an incredible positive impact on the worldClosingScythe is a total compensation company, which provides employees a comprehensive salary, equity, and benefit package. However, only the minimum salary amounts are listed here. Scythe carefully considers a wide range of compensation factors, including education, years of experience, competencies and other relevant business considerations. These considerations can cause your compensation to vary along with your compensation mode preferences. The
ML Engineer - Neural Net Deployment
position has an expected minimum annual cash salary of
$130,000 . The actual pay may be higher depending on your skills, qualifications, and experience. Equity and benefits packages are NOT included in this estimate.
Please note that this information is provided for those hired in Colorado only, and this role is open to candidates outside of Colorado as well.Scythe is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or any other factor protected by applicable local, state or federal laws.
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Humanity has lost touch with nature - we’ve traded dirt and trees for asphalt, and we rely on loud, polluting, gas-powered machines to care for our limited natural spaces.
Scythe is forging a new future by building intelligent, all-electric machines that unlock a new superpower: the ability to care for the outdoors pollution-free at enormous scale. From today’s first steps in landscape maintenance to full-fledged re-terraforming in the future, Scythe is pioneering autonomous machinery that supports the ingenuity of humans, multiplying our power to nurture our planet.
At Scythe, you’ll work with a team of world-class experts in everything from computer vision to mechanical engineering, pushing the limits of possibility and growing by overcoming hurdles along the way.
The world needs what we’re building—come join us in making it a reality.
Software Engineer, ML Deployment and GPU Development at Scythe
We are looking for a Software Engineer focused on neural network deployment and GPU software development to join our team. The ideal candidate has experience deploying complex neural networks on hardware in challenging runtime-critical applications and leveraging GPU capabilities to accelerate workloads. This role is key to Scythe utilizing state-of-the-art machine learning models, maximizing the performance of our autonomous mower M.52, and providing reliable model deployment to our customers.You’ll work in concert with teammates from across the company to build a rich understanding of product needs and bring those ideas to life. We expect you to be broadly experienced to be able to “see around corners”, to thrive in a fast-paced, self-managed engineering environment, and to be a collaborative, low-ego teammate who helps Scythe realize its big mission.What you’ll do at ScytheWork with developers to optimize new models for in-vehicle deploymentBuild and maintain evaluation tooling to monitor the performance of offline and online modelsWork cross-functionally as a member of the Perception teamWrite clean, performant, testable codeLeverage our extensive and growing data to train state-of-the-art ML modelsImplement and frequently ship new ML solutions onto M.52Perform on-vehicle testing and data collection as necessaryManage deployment and dependencies of perception software on-vehicleWhat you know wellModern C++ and PythonPyTorch, TensorRT, and CUDARuntime performance profiling on x86, ARM and Nvidia GPUsComfort iterating on complex problems and models: problem definition, data, bring-up, debugging, evaluation and deploymentFamiliarity with Linux and AWSWhat you’ve maybe doneWorked with robots or other resource-constrained platformsDeployed ML models to productionCompiled ML models to multiple platformsProfiled and optimized ML models using CUDAExperience working with camera, lidar, and radar data in a robotics applicationWhy Scythe?Scythe is an early-stage but well-capitalized startup. Have a huge impact alongside an awesome team of experts shipping something the world has never before seenCompetitive salary and equity compensationFully-sponsored medical, vision, and dental insurance, including 75% funded dependent coverage401(k) retirement plan (non-matching today)Headquarters in beautiful Longmont, CO (near Boulder, CO.) Enjoy the bounties of nature and open spaces close to home with mountain biking, hiking, skiing and more.Satellite offices in Austin, TX and Fort Pierce, FLFlexible paid time-off and remote work to let you do your best work where and when you want
(For Non-Exempt Employees, please use:
120 hours per year paid time-off )Highly collaborative learning culture where personal freedom, growth, and responsibility are valuedAn opportunity to have an incredible positive impact on the worldClosingScythe is a total compensation company, which provides employees a comprehensive salary, equity, and benefit package. However, only the minimum salary amounts are listed here. Scythe carefully considers a wide range of compensation factors, including education, years of experience, competencies and other relevant business considerations. These considerations can cause your compensation to vary along with your compensation mode preferences. The
ML Engineer - Neural Net Deployment
position has an expected minimum annual cash salary of
$130,000 . The actual pay may be higher depending on your skills, qualifications, and experience. Equity and benefits packages are NOT included in this estimate.
Please note that this information is provided for those hired in Colorado only, and this role is open to candidates outside of Colorado as well.Scythe is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or any other factor protected by applicable local, state or federal laws.
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