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We are looking for a motivated and creative software Engineer to join our team in building automated test equipment for medical product production. This position focuses on Python programming and hardware interface development, contributing to reliable and efficient testing systems in a regulated environment.
Key Responsibilities
In this role, you will
Develop and maintain software for automated test equipment with hardware integration.
Collaborate with senior engineers and cross-functional teams to implement robust solutions.
Learn and apply new technologies to improve testing processes.
Write clean, maintainable, and well-documented code.
Participate in code reviews and continuous improvement initiatives.

Technology ATE team is looking for a highly creative Sr Software Tech Lead to develop automated test equipment for medical product production. This role combines technical leadership with hands-on Python programming for hardware interface solutions. You will work closely with cross-functional teams to ensure robust, scalable, and efficient testing systems that meet stringent medical industry standards.
Key Responsibilities
Development of automated test equipment software, with hardware\Optics\Algo integration.
Drive technical decisions and mentor team members on best practices in software development.
Collaborate with hardware engineers and production teams to deliver reliable and compliant solutions.
Explore and adopt new technologies to enhance testing capabilities and efficiency.
Ensure code quality, maintainability, and adherence to regulatory requirements.

We are looking for a Quantum software Engineer to work closely with customers to design, optimize, and troubleshoot advanced quantum control workflows on real quantum hardware. In this role, you will serve as a technical bridge between customer use cases, experimental requirements, and robust software solutions, ensuring customers successfully deploy and scale quantum experiments using Quantum Machines platform.
This position combines strong software engineering practices with hands-on experimental intuition. You will translate complex quantum workflows into reliable, maintainable, and customer-ready solutions, while collaborating closely with internal product, R&D, and hardware teams.
Responsibilities:
Work directly with customers to understand experimental goals, constraints, and system architectures
Design, implement, and optimize quantum control workflows tailored to customer applications
Troubleshoot complex software, system-level, and experiment-integration issues on real quantum hardware
Provide clear technical guidance, best practices, and documentation to enable customer success
Develop and maintain Python-based application code, tools, and reference examples
Contribute to scalable and maintainable software architectures for quantum control systems
Apply solid software engineering practices, including version control, testing, and code review
Collaborate cross-functionally with product, R&D, hardware, and software teams to relay customer feedback
Balance fast, pragmatic solutions that unblock customers with long-term, sustainable engineering improvements.

We are looking for an experienced Software Engineer to join our team with a focus on services and infrastructure development, while being comfortable contributing across the full software stack when required.

This role is well suited to an engineer who enjoys designing and building scalable backend services, integrating them with infrastructure platforms, and contributing to end-to-end solutions that support sophisticated engineering workflows. While some components may include frontend elements, the primary emphasis is on service architecture, APIs, data handling, and system reliability.

In this role, you will collaborate closely with engineers and partners across the organization to design, deliver, and evolve maintainable solutions that underpin GPU software engineering infrastructure. You will also contribute to technical direction, mentor others, and help shape the long-term evolution of our platforms.

Responsibilities:
Design, develop, and maintain scalable backend services using Python, Go or similar languages, with the ability to contribute to full-stack solutions where appropriate.
Take ownership of services across their lifecycle, from design and implementation through deployment and production support.
Design and evolve APIs and service interfaces that support tooling, automation, and infrastructure workflows.
Contribute to end-to-end feature development, spanning backend services, APIs, and selective frontend components where they support infrastructure use cases.
Collaborate closely with teams across tooling, automation, and infrastructure to ensure seamless service integration.
Improve system reliability, performance, and scalability through thoughtful design and continuous optimization.
Contribute to infrastructure modernization initiatives, including cloud-based and containerized deployments.
Follow and promote standard methodologies for code quality, testing, documentation, and design reviews.

We are looking for a highly motivated R&D Software Engineer with strong algorithmic thinking, problem-solving skills, and hands-on software development experience. While experience in signal processing, communications, DSP, or RF is a strong advantage, it is not a requirement.

This role is ideal for engineers who enjoy tackling complex problems, designing practical solutions, and turning ideas into working systems. You will work in a multidisciplinary environment at the intersection of algorithms, software and hardware, with real impact on end products.

You will:
Design and implement algorithms and software solutions for complex problems.
Develop high-quality, production-ready code in C++ and Python.
Take ownership of features and components from concept through implementation and validation.
Build prototypes, run experiments, and iterate quickly based on results.
Participate in code reviews, architecture discussions, and technical decision-making.
Document designs, trade-offs, and implementation details.

we are searching for a skilled and motivated Algorithm & Software Engineer to join our Calibration Team. The Calibration Team is an integral part of the Geometry Group within the R&D department. We develop cutting-edge computational geometry products for systems, essential for understanding vehicle surroundings and advancing Autonomous Vehicles and Advanced Driving Assistance Systems.
Our team's focus is on camera calibration functionalities. The foundation of all our algorithms is rooted in classic theoretical concepts that include diverse topics in mathematics and physics such as projective geometry, algebra, and optics. Given the wide-reaching impact of our work, these fundamental principles are translated into code, which must meet stringent real-time requirements, delivering both high accuracy and efficiency. To accomplish this, we actively utilize various profiling tools and techniques to continuously enhance the performance of our software solutions.
In addition, our team is gradually incorporating Machine Learning approaches to complement traditional methods and explore new ways to improve calibration accuracy.
We place a strong emphasis on the development of clean, well-documented, and testable code in order to produce robust and dependable software solutions. We are looking for individuals who share our commitment to code quality and recognize the significance of these practices.
What will your job look like:
Implement, deploy, and maintain algorithms in classic computational geometry.
Develop high-quality code primarily in C++, Python and occasionally using MATLAB.
Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
Collaborate effectively with other teams at Mobileye.

We are seeking an experienced Embedded Software Engineer to help develop advanced, reliable, and connected infusion systems. This role is ideal for a hands-on engineer with deep technical expertise who enjoys tackling complex challenges, owning system components end-to-end, and collaborating closely with multidisciplinary teams to deliver high-impact medical devices.

What Youll Do:
Participate in the full development lifecycle from concept, architecture, and coding to integration, testing, verification, and production validation.
Design and implement embedded software for safety-critical medical devices.
Develop firmware, drivers, communication protocols, and RTOS-based components.
Collaborate with hardware, product, QA, and cloud teams to define and refine system requirements.
Support board bring-up and perform hardware-software integration and deep system debugging.
Build robust diagnostics, monitoring, and logging capabilities to enhance field performance.
Troubleshoot complex issues involving timing, real-time behavior, connectivity, and stability.
Contribute to architecture discussions, code reviews, and continuous engineering improvements.
Ensure development aligns with medical-grade quality, safety, and cybersecurity standards.

We are looking for a skilled Software Developer with strong hardware knowledge to join our diverse team passionate about developing low-level software and test infrastructure for NVIDIA's networking and Interconnect products. As a technical focal point, you will work at the intersection of hardware and software, taking ownership of driver development, hardware bring-up, and test system architecture. You will be instrumental in driving innovation by developing low-level software that directly controls hardware, debugging sophisticated hardware-software interactions, and creating robust testing solutions. If you're passionate about code development, automation, innovation, reading schematics, debugging hardware with software tools, and becoming a key technical contributor, we'd love to have you on board!

What You'll Be Doing:

Collaborate with multi-functional teams including hardware, electrical, thermal, and mechanical engineers to understand hardware specifications and develop corresponding test requirements.

Take the lead in debugging hardware-software integration issues using instruments, and software tools to pinpoint root causes.

Develop low-level drivers in C/C++ for hardware components and build DLL wrappers for integration with higher-level C# applications.

Review and interpret hardware schematics and datasheets to understand signal flows, timing requirements, and implement appropriate software control mechanisms.

Lead all aspects of hardware bring-up, validation, and deployment of test solutions to production environments, ensuring accurate integration.

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.

we are looking for a Staff software engineer to join our elite team which is responsible for building one of our companys new SaaS products.
In this role you will be using AWS serverless architecture, GO, AWS CDK & Python to design, develop, test, secure & deploy services from planning to production. You will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
The team works in full collaboration with security architects, product managers and other development teams.
We are looking forward for energetic and versatile person to join our family and help us achieving our goals.