Senior Product Manager - Automotive Industrial Developer Experience jobs at Arm in Hungary, Budapest

As a staff engineer you will work within a team to deliver software solutions for developers by integrating proprietary code and open source technologies to be used as blueprints to streamline the building of customer products.

• Your day to day role will involve both high and low level software development, integrating technology components, test and debug on various platforms, including software models, development boards and shipping products.
• Provide technical guidance to the team and mentoring to junior engineers, helping them develop skills and improve their performance.
• Ensure the technical foundation for our solutions are strong and develop and guide sophisticated solutions.
• Collaborate with global multi-functional teams, including hardware engineers, firmware developers, product managers, tools teams and system architects, to deliver integrated solutions.
• Occasional travel e.g., visits to global Arm offices and developer conferences.

• 8+ Years of meaningful work experience in software development with technical leadership experience.
• Excellent programming skills preferably C, C++, python. Able to add significant new functionality to complex code cases and analyse and fix defects.
• Ability to test code, implement and maintain required CI/CD systems, and participate in a Scrum team environment involving multiple sub-teams.
• Knowledge of Linux system engineering fundamentals (networking, storage, and operating systems).
• Education: Degree or equivalent experience in a relevant subject, such as electronic engineering or computer science.

• Experience with graphics, vision and machine learning APIs and technologies.
• Automotive and/or high end Industrial background or demonstrable knowledge. Specific SOAFEE and/or ROS an advantage.
• Familiarity with ARM architecture and software ecosystems.

Job Description:

As a staff ML engineer, you will work within a team, build and adapt ML models for Edge devices to be used as blueprints to facilitate the building of customer products. You will be a pioneer in model execution and testing on high performance computing subsystems and help craft the engineering experience in the development of data driven applications on Edge and Automotive devices.

Responsibilities:

• Your day-to-day role will involve experimentation, research, model development, model deployment and performance monitoring for machine learning applications at the Edge.
• Define the appropriate model architecture and fine-tune the model for an optimum application performance.
• Collaborate with global multi-functional teams, including hardware engineers, firmware developers, product managers, tools teams and system architects, to deliver integrated solutions.
• Occasional travel e.g., visits to global Arm offices and developer conferences.

Required Skills and Experience:

• Consistent track record in development of machine learning and deep learning applications; solid knowledge in popular Machine learning frameworks, including PyTorch, TensorFlow and scikit-learn.
• Excellent programming skills preferably in R, Python, Jupyter, C/C++ and Matlab. Able to adapt and add new functionality to sophisticated models.
• Proficiency with technical methods for Hardware-aware model optimization and compression including quantization, pruning and knowledge distillation.
• Education: Degree or equivalent experience in a relevant subject, such as mathematics, data science or computer science.

“Nice To Have” Skills and Experience:

• Experience with graphics, vision and machine learning APIs and technologies.
• Expertise in usage of ML frameworks and runtimes for the Edge including TensorFlowLite / TFLite Interpreter, PyTorch / ExecuTorch and ONNX / ORT
• Hands-on development of Large Language models, vision transformer models and Generative AI applications; knowledge in Retrieval Augmented Generation, fine-tuning and prompt engineering optimization methods.
• Familiarity with ARM architecture and ARM based AI hardware accelerators.

Responsibilities:

• Coordinate the definition of workflows for Edge AI application development and build an end-to-end machine learning pipeline
• Define secure code practices and implement a repository management strategy for proprietary or open-source software
• Use continuous integration / continuous deployment and containerization techniques to deploy Machine Learning models to production
• Collaborate with application and platform developers, data scientists and ML engineers to identify tooling and automation needs and subsequent solutions
• Identify relevant metrics for DevOps and MLOps practices and use supervision tools to safeguard development efficiency and an operation performance

Required Skills and Experience:

• Proficiency with version control systems (e.g. Git), cloud platforms (e.g. AWS, Azure) and Infrastructure as Code tools (e.g. Terraform, Ansible, Packer)
• Strong background in defining a CI/CD/CT pipeline and building and maintaining a CI/CT/CD infrastructure (e.g., Jenkins, GitLab CI, GitHub Actions)
• Robust programming and scripting skills preferably in Python / C / C++, previous experience with Linux Systems and containers (e.g. Docker, Kubernetes)
• Degree or equivalent experience in Computer Science, Electronics, or a related field

“Nice To Have” Skills and Experience:

• Hands-on experience with CI/CT solutions for Embedded Systems (e.g. SiL / HiL) and monitoring tools (e.g. Prometheus/Grafana/ElasticSearch/Kibana)
• Knowledge in repository management tools (e.g. Gerrit, GitLab) and CI/CD pipelines for open-source projects
• Familiarity with ML frameworks (e.g. Pytorch, TensorFlow) and model testing

Job Description:

As a Staff Test Engineer, you will define and implement the test strategy, quality blueprint and test infrastructure for the delivery of coordinated software solutions and reference applications. You will drive system-level validation and ensure the functionality, reliability, performance, safety, security and usability of Arm-based systems, tools, and developer kits used globally.

Responsibilities:

• Develop, maintain, and implement automated test frameworks and pipelines across a wide range of target systems including virtual platforms and development boards.
• Collaborate with product, engineering and business partners to validate system behaviours through effective Behavior Driven Development and Test Driven Development techniques.
• Mentor and guide engineers, providing technical leadership in debugging, diagnostics, test case design, and continuous improvement.
• Define and supervise product and process quality metrics, ensuring early detection of defects and high standards of product reliability.
• Participate in product presentations and demos at industry events, global Arm offices or conferences.

Required Skills and Experience:

• Consistent track record in software quality assurance and test engineering of Embedded Systems, with a strong record of technical management in building scalable test systems.
• Proficiency in automated testing and scripting using Python, Shell, or similar languages; strong background in CI/CD infrastructure (e.g., Jenkins, GitLab CI) and test orchestration tools.
• Solid debugging and root-cause analysis skills; able to collaborate across teams to resolve complicated issues.
• Degree or equivalent experience in Computer Science, Electronics, or a related field.

“Nice To Have” Skills and Experience:

• Familiarity with digital consumer facing products, machine learning frameworks, model testing and performance monitoring.
• Experience in user centric design and proficiency in usability testing methods.
• Robust programming skills preferably in C, C++ to adapt code and fix defects.
• ISTQB Expert Level / CMSQ Certifications or equivalent experience.

As an experienced C developer, you will contribute to the work of the embedded Linux device driver team on an exciting new range of Arm hardware devices aimed at AI use cases. You will be responsible for the hands-on development, testing and maintenance of Linux device drivers, ensuring their correct functionality, high performance and robust security.

• Working across the complete software lifecycle, including requirements, planning, development, release and support and maintenance
• Developing Linux device drivers and exposing these to application software
• Delivering tasks with minimal guidance and contributing to the implementation of larger / more complex work

• Demonstrable experience in the full software lifecycle from requirements to release, including support and maintenance
• Up-to-date experience in Linux device driver development, including interrupt handling, memory management, security and interfacing to application software
• Effective communicator and ability to collaborate well within and across teams

• Experience in automation of device driver testing using hardware devices or software emulation
• Knowledge of the Arm AArch64 architecture
• Awareness of device power management techniques
• Hands-on experience with PCIe or UCIe interfaces
• Experience with VirtIO drivers

As a creative Security and Embedded Processor Design Engineer, you will be part of a team that will define and realize the Hardware Security IP and Subsystem. We will develop the design specifications, design hardware IP, and partner with the verification team to build test plans, support verification debug, and achieve functional, power, and performance sign off.

Our key responsibilities include writing micro-architecture specifications, developing the RTL, fixing bugs, and running design exploration and structural checks. In addition to Hardware IP development, you are going to contribute to developing and enhancing the design and methodologies shared by the team. You will guide and support members of the team as needed to enable the successful completion of project activities, plus balance other opportunities such as working with Project Management on activities, plans, and schedules.

Preferred candidates will have completed either Bachelors or Master’s degree in Computer Science or Electrical/Computer Engineering or a similar related field and experience working in design of complex compute subsystems or SoCs. You will need:

• Solid understanding of digital hardware design EDA methodologies and Verilog HDL.
• Design and verification experience in Security Hardware, Embedded Processor Systems, Applied Cryptography, Secure Boot, and Key Management.
• Proven experience in complex SoC architecture and development including multi-clock domain designs, AXI/AHB protocols, multi-power domains, and reset architectures.
• Experience with Perl, Python, tcl, or other scripting language
• Experience with ARM-based designs and/or ARM System Architectures
• Experience with SystemVerilog and verification methodologies – UVM/OVM/e
• Synthesis and timing analysis
• Static design checks, including CDC, RDC, X-Propagation, Linting
• Power management techniques

We offer a hybrid approach to home and office working to provide an adaptable experience for all employees. We expect some working time to be spent in office, to promote a strong collaborative environment with good team integration but are accommodating to different home working requirements.

As a member of the IoT Edge Solutions team, you will have the chance to grow your knowledge and expertise. You will contribute to Arm technology deployed in the next generation of AI and IoT systems at the Edge, enabling the safe execution of complex workload scenarios.

Your day-to-day activities will include:

• You will help build automated test solutions to deliver production quality software alongside established teams working on our open-source software stack for embedded devices.
• You will provide recommendations on tooling options for various types of testing and offer input on CI design and setup.
• You will join a distributed team that leads validation efforts and ensures the delivery of high-quality software.

Required Skills and Experience :

• Proficient in Python.
• Good knowledge of C.
• Experience in developing integration and validation tests using various testing and automation tools, frameworks, and methodologies.
• Basic understanding of the Linux kernel, system software and device drivers.
• Hands on experience with software debuggers e.g. gdb.

“Nice To Have” Skills and Experience :

• Proficient working with Git.
• Knowledgeable in computer architecture and microarchitecture concepts - ideally for the Arm architecture and its ecosystem.
• Experience with any automation test framework development or customisation.
• Curious about open-source development practices.