The opportunity around edge devices is huge and growing - there are already more connected things than people in the world!! These devices, ranging from tiny MCU-based sensor devices to powerful datacenter class servers, have a profound impact on our daily lives; from how we live, how we work, how we learn and how we connect.This growth continues to accelerate in a post-COVID world, with many of our customers and partners looking to accelerate their edge device implementations to find new ways to continue to conduct their business.
TheMicrosoft Azure Edge Devices, Platforms & Services (AEDPLS) teamis chartered with building devices and experiences that help our ecosystem of partners and customers leverage Azure to accelerate their creation and adoption of the next generation of connected, intelligent, and autonomous edge solutions. We work across a wide range of industries, partner types, device form factors, and service technologies to enable new application scenarios, provide in-depth business insights and safeguard the security and privacy of our customer/partners data.
We are looking for a senior embedded AI software engineer to join us as a Lead Embedded AI Architect, and Technical Advisor reporting to AED CTO. The Embedded AI architect will lead the definition and convergence of complex and novel embedded AI technologies for the edge. The product architectures will define state-of-the-art edge computing AI acceleration for embedded systems paired with cloud technologies. The scope of the role is broad, designing client and cloud tools and services that will power a wide array of new sensing systems, networking, general and AI acceleration compute, MPUs, MCUs, display/optics systems, input devices, and edge devices such as intelligent cameras, intelligent audio, intelligent gateways, and PC/Phone form factors. The architect will also have responsibility for incubation of new technologies from proof of concept through integration into products for mass production and commercialization. We are looking for someone with proficient technical communication skills with the ability to collaborate successfully across functional teams, including silicon, cloud services, development tools, hardware engineering, partnerships, and core technology groups.
In-depth understanding of embedded systems and ML acceleration in ARM and MCU architectures.
Minimum of 10 years of experience in the technology industry, with focus on embedded devices.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Demonstrated ability to achieve stretch goals across functional teams and ability to meet or exceed expected timelines for projects.
Demonstrated ability to uncover systemic issues and drive failure analysis to root cause swiftly and accurately.
Masters or PhD in Computer Science, Electrical/Computer Engineering, or equivalent experience.
Outstanding customer obsession and empathy for users.
Excellent communication skills with an ability to clearly articulate and share your vision, ideas and plans with colleagues and to be able to deal constructively with opposing views or opinions.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Develop Azure Edge embedded AI systems, across many form factors and devices including sensor devices such as cameras, gateways, PC's and Phone formfactors.
Identify and evaluate next-generation embedded Ai acceleration software technologies suitability for incorporation into our product portfolio.
Engage with internal product teams, architects, and business leaders to understand and inform ai acceleration technology roadmaps.
Work closely with external partners to explore co-engineering efforts and new designs.
What You Will Bring and Do
Passion for using technology to empower people and companies to achieve more.
A keen sense of urgency and the ability to prioritize deliverables, meet targets, and resolve issues.
Ability to actively communicate, inspire, and motivate all levels of staff and senior leadership.
Bias for Action and Results-Oriented approach.
Establish and maintain collaborative, supportive, open, and professional working relationships with a variety of executives, management, and team members.
Study and continuously learn about our industry, products, competitors, and customers.
Help foster innovation and support a culture that empowers everyone to be a thought leader.
Experience in developing great relationships with your team and an executive team.
Exhibit world-class communication skills and a facilitator for transparency within all teams and the company.
Proven full-cycle development experience from R&D to Commercialization.