System Development Engineer, Scanless Technologies
DESCRIPTION
Are you ready to shape the future of global logistics? At Scanless Technologies, we’re redefining efficiency in the Amazon fulfillment network with state-of-the-art computer vision and machine learning systems. Our solutions empower fulfillment centers to identify items and their placement with precision and speed. As a System Development Engineer, you’ll have the opportunity to design and build high-impact systems that operate at massive scale, improving millions of deliveries worldwide. Join a team of smart and talented engineers and researchers, solve complex challenges, and make your mark on the technology driving Amazon’s innovation. If you're passionate about cutting-edge tech and creating solutions that matter, this is your chance to lead the way.
We are seeking System Development Engineers who possess a builder's mindset, demonstrating strong coding abilities and practical problem-solving skills, with the ability to drive projects from research concepts to working prototypes and scalable solutions. Candidates with a blend of hardware, firmware and software skills, experience in sensor technologies, edge performance optimization, with a focus on computer vision algorithms, and machine learning techniques would be a great fit. At Amazon Robotics, you'll have the opportunity to push the boundaries of current technology, developing innovative products that are both solution-agnostic and easily integrated into existing workflows. We're seeking engineers who can think creatively about designing user-friendly systems for various stakeholders, move quickly and methodically to solve complex technical problems, and have a passion for developing cutting-edge technologies that improve efficiency and accuracy in logistics operations.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
This position will be based out of the Greater Boston Area in our state-of-the-art facility in Westborough, MA. The campus provides a unique opportunity for employees to have direct access to robotics testing labs and manufacturing facilities.
Key job responsibilities
You will have the opportunity to be a technical leader on the team. In this role, you will solve complex architectural problems which may not defined beforehand and design new workcell solutions that use our products. You will own the teams software,, performance, benchmarks, hardware integrations, lighting and optics, and work proactively to identify cost optimal solutions that scale the solutions. The role will require you to troubleshoot problems and ensure ease and speed of deployments at scale.
A day in the life
Imagine a day when you're at the forefront of revolutionizing technology. Your morning might start with optimizing our computer vision algorithms, followed by hands-on troubleshooting in our state-of-the-art lab. By afternoon, you could be presenting innovative ideas for next-gen dimensioning technology or mentoring junior engineers on integrating vision algorithms. Every day brings new challenges and opportunities to impact global operations on a massive scale. From coding and hardware integration to cross-functional problem-solving, you'll push the boundaries of what's possible in automated object recognition and tracking.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
The Scanless Technology organization builds products that eliminate the need for explicit scanning in the Amazon Fulfillment Network. We research, design, and implement solutions for automated identification of objects and object movement by removing the need for explicit manual scanning of identifiers, like barcodes. We integrate hardware, software, and machine learning, developing products that are solution-agnostic while enabling easy integration from installation to execution. For our associates, our systems affect user experience by improving safety and ergonomics. For our large fleet or robots, they improve overall throughput and efficiency.
BASIC QUALIFICATIONS
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Bachelor's degree
- Experience with hardware-software integration, scripting and troubleshooting systemic problems
PREFERRED QUALIFICATIONS
- Experience with CUDA or other GPU acceleration technologies for computer vision applications.
- Proficiency in integrating and working with various sensor technologies (e.g., cameras, depth sensors, LiDAR).
- Familiarity with robotics frameworks such as ROS (Robot Operating System)
- Experience with Amazon Web Services (AWS) or similar cloud platforms for scalable computer vision solutions.
- Strong understanding of machine learning and/or computer vision principles and experience applying ML techniques to solve real-world problems.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.