Software Engineer for Containerization of Complex Real: time Processors | Lexington, MA

science activities include the development of superconducting and trapped: ion qubits, and quantum sensing with nitrogen: vacancy centers in diamond. In addition, the group has robust capabilities in classical superconducting circuits and integrated photonics.

These component technologies are used in synergy with quantum information science demonstrations, as well as in standalone applications that include beyond: CMOS circuit technologies, energy: starved sensors, compact optical communication and laser radar transceivers, and microwave photonic signal processing. Job Description The group seeks a full: time software engineer to join our research team of quantum information and computing

scientists. We are looking for a candidate that would aid in the development of software tools to support our research. Responsibilities include: : Building, testing, and maintaining software to control a prototype quantum computer: Developing calibration software and automated processing workflows: Documenting code and interfacing with researchers on our quantum hardware team: Data analysis and visualization Requirements: Bachelors degree plus 5 years minimum relevant experience.

Proficiency in Python or similar object: oriented languages. Familiarity with Git and Agile development workflows. Effective communication with technical staff within and outside of field of specialization.

Additional preferred skills include experience with software: hardware interface and a background in physics or quantum information science For Benefits Information, click hrweb.

mitbenefits Selected candidate will be subject to a pre: employment background investigation and must be able to obtain and maintain a Secret level Do D security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, interaction, interactionual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U. S. citizenship is required. Requisition ID: 40288

Senior Software Engineer, Robotics and Vision to join our Vision and Robotics group. This position will report to the Director, Vision & Robotics and will play an important role in improving our vision and AI solutions and supporting our customers' sites with vision expertise.

What we do The Vision and Robotics Group is responsible for the design, development, improvements and support of the advanced vision and robotics solutions for our warehouse automation systems. The group is driven by a desire for innovation and the pursuit of perpetual improvements to make our robotics system more intelligent, more capable, and easier to deploy and use. What you'll do Gather information and validate

requirements to execute root cause analysis to resolve issues with internal and external stakeholders. Participate in the development of software solutions for vision applications including user interfaces, processing algorithms, mathematical modeling, machine learning.

Participate in the hardware design of computer vision solutions, including: System design and component selection (2D and 3D cameras, lighting system, lasers, etc. ) Development of prototypes Validation of prototypes in our Vision Lab and in our Test Center On Site Support of our Vision Systems Documentation and preparation for production Planning and development of test benches for quality assurance Support for our actual

Vision Systems on-site Demonstrate passion about building high quality software that addresses customer needs, love solving problems and facing new challenges.

Be a proactive communicator who enjoys working closely with creative and technical peers. Work in a dynamic Agile/Scrum based environment. Play a lead role in this effort and mentor junior team members. This is a hybrid position. Must be in driving distance to Wilmington, MA and be able to travel 25% to other Symbotic US/Canada sites What you'll need Bachelor's degree in computer engineering , Electrical Engineering, Automated Production Engineering, Engineering Physics or equivalent. Master ' s degree preferred.

Minimum of 6 years professional experience developing software applications Expert in C++ and C# programming languages and of the. NET platform Strong skills in programming and algorithm design Knowledge of image processing techniques and/or machine learning Relevant experience in the development of computer vision systems Relevant experience with robots (an asset) Relevant experience with PCL and Matrox Imaging Library (an asset) Excellent synthesis skills Good communication skills Organizational skills Autonomy (Self- driven ) Capacity to adapt to an environment of changing priorities.

#LI-PG1 #LI-Hybrid About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers.

For more information, visit . We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, interaction, national origin, interactionual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

air vehicles, handheld radios, or in a server farm with the best current and future processing technologies? Does doing all of this as part of world: class teams to help secure our nations future appeal to you? If so, the Embedded and Open Systems Group at MIT Lincoln Laboratory (MIT LL) works on the problems, using the technologies, and with the people you are looking for.

We conduct research and development to prototype, evaluate, and transition next generation, high: performance, real: time, embedded processing solutions in support of national security. Our efforts focus on operation at the tactical edge on aircraft, ground vehicles, unmanned systems, radios of all sizes, ground stations,

and bases operating across the globe. We use heterogenous computating (e. g. CPUs, GPUs, etc. ), industry best commercial: off: the: shelf (COTS) products and practices, and community Open System Architectures to realize cost: effective and sustainable solutions for the nations needs of today and tomorrow.

Our expertise and practical experience in hardware, software, signal processing, data processing, security, and systems engineering lets our teams work problems from start to end. Working through the steps of system analysis, requirements definition, architecture selection, software design, hardware mapping, system prototyping, and field testing, our definition of success is getting

our solutions into the real: world making actual positive impact on our national security.

Position Description We are looking for a talented engineer to help design, prototype, test, and evaluate real: time scheduling and resource management for complex tactical systems composed of sensors, processors, and support subsystems. As a member of our technical teams, you will help prototype the dynamic orchestration and control of multiple sensors of varying modalities (i. e. multi: INT), heterogenous computational elements (e. g. CPU + GPU), and disaggregated processing nodes to efficiently respond to user needs and deliver high: value data products. Your initial contributions will be to the demonstration of real: time control of multi: INT sensors and disaggregated, heterogenous, real: time processing (signal processing and machine: learning) onboard a MIT LL multi: INT aircraft.

Your efforts will utilize virtual environments, benchtop hardware variants, system integration laboratories, and MIT LL fielded testbeds (e. g. aircraft) to go from design to testing. Day: to: day tasks will require continuous coordinated planning and execution with your colleagues. Opportunities to propose new efforts and lead small: to mid: size technical teams will be made available to you as you demonstrate your capabilities.

You will have opportunities to brief the MIT LL community, our sponsors, and/or larger national security bodies through technical interchanges, program reviews, industry/community working groups, and conferences. Versatility, innovation, self: discipline, and collaboration are critical to being a contributing member of our high: performing, multi: disciplinary teams making real: world, positive impacts to our nation's security through research and development of critical technologies and capabilities. Help drive our future technology by: : Being a core member of our teams developing, prototyping, demonstrating, and evaluating schedule and resource management capabilities for challenging, highly: varied missions: Helping define, implement, and demonstrate system and software Open Architectures for use by MIT LL and Department of Defense (Do D) technical and operational commun

Computer or Software jobs encompass a broad category of work focused on developing, maintaining, and utilizing software and hardware systems. These roles typically involve tasks like coding, designing software architecture, testing and debugging programs, managing databases, and ensuring cybersecurity. Characteristics of such jobs often include a blend of technical expertise, problem-solving skills, a continuous learning mindset due to the rapidly evolving tech landscape, and a collaborative approach to working with teams of other IT professionals. These jobs span industries, from tech giants to startups, and can range from software development and systems analysis to IT project management and network engineering.