Staff Machine Learning Engineer – Automotive & Edge Software
Arm is building the next generation of AI platforms for developers to build Cloud to Car and Cloud to Edge solutions in the Automotive and Industrial market segments. Companies across these industries are increasingly switching to compute technology from Arm because of our energy efficient foundations and pervasive footprint.
This is a rare opportunity to join a new team and build new products and reference implementations based from our Budapest office that shall enable developers to easily utilise new Arm technology in their solutions.
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.
In Return:
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Hybrid Working at Arm
Arm’s hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. Within that framework, we empower groups and teams to determine their own particular hybrid working pattern, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.