Job Overview:
Do you want to help Arm's partners build real world solutions based on Arm ML technology? This is an excellent opportunity to join Arm's Sales and Partner Enablement group as an Applications Engineer! Our partners scale from big semiconductor houses to small start-ups, all of them are building new exiting products. This role gives the possibility to be on the forefront of technological evolution and accelerate innovation.
Job Description:
As a ML Software Applications Engineer, you will demonstrate your technical and customer facing skills to support partners in overcoming technical challenges, primarily focusing on ML/AI software products. Your role involves understanding customer objectives, analysing requests and issues, and providing effective solutions. You will develop and deliver training courses to customer development teams, offer reviews and advice on ML and AI use cases and product integration, line managing and mentor a small group of talent applications engineers and provide technical guidance for issue debugging.Collaborating with ML engineering teams, you will advocate for customer needs to drive product improvements and facilitate the adoption of new ML technologies. Additionally, you will identify and report product defects, provide debug patches, review partners’ use cases, and periodically develop debugging tools, application notes, example source code, and knowledge base articles.
Responsibilities:
- Provide technical support for Arm ML and AI framework and drivers, including detailed technical investigations, issue triage, and performance optimisation recommendations.
- Technical leader for Arm ML and AI framework and driver functional support team delivering efficient and high quality technical support to partners.
- Collaborate with ML engineering and product management teams to enhance partner experiences and influence ML feature development and roadmaps.
- Develop and deliver technical training courses on Arm ML and AI framework and drivers, both onsite and remotely.
- Test and validate Arm ML and AI framework and driver release, providing feedback to the design team before release to partners.
- Consolidate ideas to improve Arm ML and AI framework and driver debugging methodologies and tools for efficient issue resolution.
- Line managing and coaching a small group of engineers
Required Skills and Experience :
- Demonstrated and proven experience with Machine Learning applications and frameworks
- Experienced in Embedded SW development
- Demonstrated experience in a technical leadership role with strategic approach for issue resolution
- Excellent communication skills for collaborating with partners and remote teams across different time zones.
- Strong coaching and mentoring skills
“Nice To Have” Skills and Experience :
- Experience of operating systems such as Android, Linux kernel, and Windows.
- Experience in compiler development
- Open Source software development
- Awareness of hardware architecture principles
In Return:
You will have the opportunity to demonstrate technical expertise and leadership skill to engage with ML design and Product management teams to influence product design and roadmap. You will work closely with highly skilled ML engineering teams globally on ground-breaking new ML technology. You will be empowered to continually identify and roll out improvements to our ways of working; while being supported by a team with varied strengths of ML software and hardware application engineers.
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Accommodations at Arm
At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self 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 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.