Responsibilities

• Develop models and infrastructure for the integrated simulation pipeline in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Implement test scenarios and write unit, system, and regression tests.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Contribute to platform-agnostic simulation tooling to accelerate future development efforts
• Perform verification and validation (V&V) analysis activities on model tools.
• Conduct system performance analysis and generate reports and visualizations.
• Utilize best practices in C++, simulation architecture, and performance engineering.

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As a Senior Engineer, you will work directly with our GNC and Embedded teams daily to build software that leverages simulation, avionics, and/or custom hardware to automate testing. You will define test cases to verify and validate embedded or GNC software at a system level, automating them to run continuously. You will implement software interfaces and drivers to orchestrate simulation environments, hardware devices, and test equipment, enabling real-world behaviors, failure injection, and hardware manipulation for various test scenarios.

You will quickly prototype solutions using software & hardware to unblock testing, harden your prototype into scalable products for continuous release testing. You will support release test planning and execution leading up to flight test events and major product milestones.

This is an opportunity to build and solve problems defense primes are unwilling to. You'll be supported by world-class engineers, but you're expected to learn on the job and deliver weekly. You'll need to be hungry and motivated to grow!

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As a DevOps Build Engineer, you will own and maintain the build system for our autonomous aircraft (XBAT/VBAT). This role is primarily focused on Developer Experience (DevEx) and bringing DevOps best practices to our software engineers to accelerate their development cycles.

Your responsibilities will include:

• Being the expert on our native (C++) software build process
• Improving developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks
• Collaborating with Software Engineers to understand their requirements, propose designs, and implement identified solutions
• Partnering with developers to resolve build/test failures quickly and set best practices for integration
• Integrating CI pipelines with HIL and simulation environments for automated validation
• Implementing monitoring, dashboards, and alerts related to build system performance for both local development and CI workflows
• Using agentic solutions to aid in quickly identifying root cause around build failures and getting the appropriate feedback to a Software Engineer

The ideal candidate will have:

• A BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years)
• Deep CMake/C++ expertise or equivalent
• Strong understanding of dependency management and proficiency with either Conan or CPM
• Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters)
• Strong scripting skills (Python, Bash)
• Hands-on experience integrating automated testing into CI pipelines
• Demonstrated success improving developer productivity at scale
• Demonstrated track record of excellence as a primary contributor on projects - showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions in a fast-paced environment

Additional desired skills include:

• Proficiency with CICD tools (Azure DevOps, Jenkins, Gitlab)
• Cloud Operations experience (Azure, AWS, GCP)
• Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus)
• Background in robotics, autonomy, or aerospace systems

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As a Senior Software Engineer, C++ Software Integration, you will design, implement, and maintain C++ and Python software in support of complex, cross-platform systems. You will contribute to system architecture with a focus on performance, maintainability, and integration. You will develop and support APIs and messaging interfaces, integrate third-party software and hardware systems, including real-time and simulation tools. You will debug and support distributed systems, with attention to threading, timing, and data flow. You will apply modern agile practices such as test-driven development, continuous integration, and automated testing. You will improve and maintain CI/CD workflows using tools like GitLab CI, Docker, CMake, and Conan. You will collaborate across teams and projects to share solutions and promote good software practices. You will continuously learn and adapt to new tools, standards, and technologies.

This position is ideal for a C++ generalist who thrives on tackling complex challenges in systems and systems integration. If you enjoy building cross-language software, improving CI/CD pipelines, and integrating distributed real-time systems, you'll find this role rewarding.

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This role sits at the intersection of networking, distributed systems, and autonomy infrastructure, and is critical to our ability to deploy robust autonomous systems in real-world operations.

Key responsibilities include:

• Leading the development of the EdgeOS Communication stack used in deployed systems.
• Owning the architecture, implementation, and integration of high-performance C++ networking components.
• Developing and optimizing transport- and application-layer networking features for reliable, low-latency communication.
• Collaborating closely with autonomy, systems, and simulation teams.
• Supporting development of network simulation capabilities used for testing and validation in simulated environments.

Required qualifications include:

• A Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
• At least 10 years of related experience with a Bachelor's degree; or 7 years and a Master's degree; or 5 years with a PhD; or equivalent work experience.
• Proficiency with C++ 11 or newer in a production environment.
• Understanding of networking fundamentals across IP, TCP/UDP, routing, QoS, and hands-on experience with network debugging and analysis tools.
• Experience developing and debugging distributed or networked systems.
• A proven track record of leading and delivering complex technical projects with minimal oversight.

Preferred qualifications include:

• Experience with C++17 or newer standards.
• Knowledge of CMake and Conan build systems.
• Background in distributed systems, simulation, or autonomous robotics environments.
• Experience with network emulation or simulation tools.
• Familiarity with RF communication systems or wireless networking concepts.

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This role requires you to be very hands-on and contribute to discussions with cross-functional teams across the organisation. We embrace an attitude that focuses on solving the root cause of problems efficiently.

A large part of your day-to-day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.

Responsibilities:

• Embed with a product engineering team as their primary Software Operations partner, working closely with engineers to improve how software is built, tested, and delivered.

• Design, implement, and continuously improve build pipelines, CI workflows, and supporting tooling with a focus on scalability, reliability, and developer experience.

• Apply strong C++ and/or Go software development experience to build and maintain robust build and CI solutions.

• Reduce iteration time and friction by improving build performance, test reliability, and CI feedback loops.

• Debug and resolve complex build, test, and CI failures using disciplined root-cause analysis.

• Influence technical direction without formal authority by earning trust through collaboration, technical credibility, and a deep understanding of team and program constraints.

• Promote best practices in build hygiene, CI/CD design, dependency management, and software development workflows that scale across teams and programs.

• Apply knowledge of software design patterns and architectural principles to design maintainable CI systems and build abstractions.

• Coach and mentor product engineers on build and CI topics, helping teams make better design decisions and understand trade-offs.

• Represent the Software Operations organisation within the product team, acting as a bridge between platform capabilities and product needs.

• Advocate for practical, production-ready solutions that improve developer productivity without sacrificing velocity or quality.

Requirements:

• BS in computer science or related engineering field with 3+ years of professional experience.

• Experience with configuration management tools (Makefile, CMake, Conan, Bazel, etc.).

• Strong demonstrated proficiency in continuous integration/delivery (e.g. Github Actions, ADO, TeamCity, etc.).

• Strong understanding of C++ (or other compiled language), Linux and CMake.

• Strong knowledge of APIs, web services, and identity access management.

• Strong knowledge of containers (e.g. Docker, Podman, etc.).

• Strong knowledge of scripting languages (Bash, Python, PowerShell).

• Strong knowledge of Git.

• Strong system administration in Linux (w/ Windows a bonus).

• Strong desire to learn and grow on the job.

Preferences:

• Strong Experience with Conan Package Manager.

• Experience with Rust in a production environment.

• Experience with Hardware in the Loop build/deploy/test systems.

• Experience owning build infrastructure.

• Experience with NVIDIA Jetson products.

Salary and Benefits:

$120,000 - $180,000 a year

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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DevOps Engineer II

This is a hybrid position in our Canonsburg, Pennsylvania office.

You Are:

You are a motivated DevOps professional with a solid foundation in build management, scripting, and version control. You enjoy collaborating with others, learning new technologies, and solving technical challenges. You are adaptable, eager to grow your skills, and committed to supporting reliable and efficient software releases in a fast-paced environment.

What You’ll Be Doing:

• Maintaining, monitoring, documenting, and testing product builds and packaging to ensure quality releases.
• Preparing, configuring, deploying, and maintaining build agents to support continuous integration and delivery pipelines.
• Conducting system tests to assess the security, performance, and reliability of build systems and processes.
• Collaborating with developers to identify code and testing issues using tools such as TotalView, and reporting findings promptly.
• Working with IT to maintain DevOps infrastructure and manage necessary packages for compiling, linking, and testing software.
• Adjusting builds and packaging in partnership with development teams to meet evolving requirements and project goals.
• Participating in Azure DevOps trainings to enhance your skills and knowledge in modern DevOps practices.
• Operating under direct supervision, with regular feedback and mentorship from experienced staff and the DevOps Manager.

The Impact You Will Have:

• Ensure the reliability and quality of software releases that power cutting-edge engineering simulations worldwide.
• Support the development of robust DevOps processes that accelerate product delivery and innovation.
• Improve build and deployment efficiency, enabling teams to focus on solving complex engineering problems.
• Contribute to a culture of operational excellence and continuous improvement within Synopsys.
• Facilitate collaboration across development, IT, and DevOps teams to drive successful project outcomes.
• Help extend simulation software to modern HPC chipsets, supporting large model simulations on clusters.

What You’ll Need:

• Bachelor's Degree in Engineering, Computer Science, or a related field with 2 years of professional experience or a Master’s Degree.
• Experience with source code versioning tools such as Git along with CI/CD practices for building, testing, and release of applications.
• Proficient in automation scripting languages (PowerShell, Python, Perl, Bash).
• Knowledge of CMake, Azure DevOps, and programming languages (C/C++, C#).
• Understanding of Linux and/or Windows operating systems.
• Experience working with compilers such as Microsoft Visual Studio, GCC, or Intel.
• Willingness to learn about modern HPC chipsets and scalable simulation environments.
• Exposure and working knowledge of ARM64 architecture and supporting compilers.
• Knowledge of security best practices and vulnerability remediation for source code and applications.

Who You Are:

• Detail-oriented and proactive in identifying and resolving issues.
• Collaborative team player with strong communication skills.
• Adaptable and open to learning new technologies and processes.
• Analytical thinker who enjoys troubleshooting and optimizing systems.
• Self-motivated with a growth mindset, receptive to mentorship and feedback.
• Committed to delivering high-quality results in a fast-paced environment.

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We drive technology innovations that shape the way we live and connect. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis.

Internship Experience: At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide,and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path.

What You'll Be Doing:

• Enhance and optimize CI/CD pipelines and the build system for a continuously delivered C++/Python framework.
• Collaborate with the simulation data model team to improve multi-application workflows and data transfer processes.
• Develop and maintain tools and scripts using C++, Python, and associated frameworks (CMake, Conan).
• Implement and refine Docker-based environments for streamlined development and deployment.
• Contribute innovative solutions to support efficient simulation data exchange between applications.

What You'll Need:

• Currently pursuing a master's degree in Computer Science, Software Engineering, or a related field.
• Strong programming skills in C++ and Python.
• Familiarity with CMake, Conan, Github, yaml, gRPC, HDF5, and Docker.
• Ability to work effectively within a team, take initiative, and propose innovative approaches.
• Excellent communication and problem-solving skills.

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Microsoft AI are looking for a talented Senior Software Engineer at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We are seeking an expert Senior GPU Engineer to join our AI Infrastructure team. In this role, you will architect and optimize the core inference engine that powers our large-scale AI models. You will be responsible for pushing the boundaries of hardware performance, reducing latency, and maximizing throughput for Generative AI and Deep Learning workloads. You will work at the intersection of Deep Learning algorithms and low-level hardware, designing custom operators and building a highly efficient training/inference execution engine from the ground up.

Accountabilities

• Custom Operator Development: Design and implement highly optimized GPU kernels (CUDA/Triton) for critical deep learning operations (e.g., FlashAttention, GEMM, LayerNorm) to outperform standard libraries.
• Inference Engine Architecture: Contribute to the development of our high-performance inference engine, focusing on graph optimizations, operator fusion, and dynamic memory management (e.g., KV Cache optimization).

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Expertise in the CUDA programming model and NVIDIA GPU architectures (specifically Ampere/Hopper).
• Deep understanding of the memory hierarchy (Shared Memory, L2 cache, Registers), warp-level primitives, occupancy optimization, and bank conflict resolution.

Personal attributes:

• Proven ability to navigate and modify complex, large-scale codebases (e.g., PyTorch internals, Linux kernel).

Benefits

• Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

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