Senior Systems Engineer (ASR - Hardware/OnPrem)

At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.

Founded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.

Auror is connecting people and intelligence to reduce crime. We’re using technology for good.

This is a brand new role at Auror, which means you’ll have real scope to shape it. Auror’s Subject Recognition (ASR) technology runs across a global edge estate, on-camera and on-server, in thousands of retail stores around the world.
Your role will be to help Auror own and evolve this edge capability. This includes making the estate observable, reliable, upgradeable and supportable at scale, while also developing new detection, recognition and AI capabilities as the technology evolves. You’ll help our support teams and customers’ Security Operations Centre (SOC) and IT teams identify and respond to issues before customers notice them, and give Auror the evidence needed to confidently improve the underlying models and functionality.
This brings a unique set of systems challenges, from debugging across device, container, host and network boundaries, to building the observability and evaluation tooling that tells us whether what we have deployed is working as intended in a remote environment Auror doesn’t control. You’ll also navigate trade-offs such as latency, detection accuracy and compute constraints, and contribute to ASR capabilities that may span both edge devices and Auror’s cloud platform.
You’ll be part of the ASR software engineering team, working closely across product, engineering and commercial teams to define how this role operates and where it can have the greatest impact. As Auror expands to more stores and retailers globally, the systems, capabilities and standards you establish will help make that growth possible. If you want genuine ownership of a complex physical-meets-software problem, with the opportunity to shape the future of edge AI at Auror, this is that role.
 
Designing and building new subject recognition capabilities using off the shelf SDKs and 3rd party integrations, including functionality that spans on-camera processing, in-store servers and Auror’s cloud platform
Building comparison harnesses and evaluation tooling to quantify how new face recognition models or engine versions perform against previous ones, including calibrating thresholds and interpreting score distributions, so changes go to production with evidence, not assumptions in collaboration with the AI/Data Science team
Designing and implementing observability through tracing, structured logging, metrics and alerting, giving Auror’s support teams and customers’ SOC and IT teams visibility into systems they cannot physically access
Improving the reliability and resilience of the edge estate, and debugging complex production issues that span process, container, host, network and cloud layers
Integrating and managing third-party SDKs and hardware dependencies, including diagnosing issues and working directly with vendors when their technology is contributing to a problem
Building and maintaining CI/CD pipelines for artefacts deployed to physical devices, so new functionality and upgrades can be delivered safely across the estate at scale
Working within the ASR software engineering team, primarily in .NET and C#, while collaborating across Auror and bringing deep systems expertise from whichever languages and technologies you have built your career in

5+ years of experience across software, systems or infrastructure engineering, with experience owning production systems that run on devices or infrastructure outside your company’s direct control
Strong software engineering fundamentals and experience designing, building and operating capabilities that span edge devices and cloud services
Production experience with containerised workloads on edge or embedded Linux devices, using technologies such as IoT Edge, Balena, k3s or equivalent
Strong debugging skills across process, container, host, network and cloud boundaries, with a detective instinct: you pull threads until you find the actual root cause, not just a plausible one
Hands-on experience with observability tooling, including distributed tracing, structured logging, metrics and alerting design
Practical evaluation skills, including building comparison harnesses to quantify performance differences between model or system versions, and interpreting trade-offs such as latency, accuracy and compute constraints
Comfortable integrating third-party SDKs, hardware and vendor dependencies into production software, and managing the complexity that comes with them
Cloud platform fluency, with GCP preferred, or experience in AWS or Azure and evidence that you can transfer your skills
Familiarity with .NET and C# is ideal, or the ability to quickly become effective in a new language and technology stack
Strong project leadership and communication skills, with the ability to take ownership of complex work and collaborate effectively across Product, Engineering and commercial team
We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page).

Auror is committed to providing an inclusive and accessible application process to all candidates and we are actively working to improve diversity within the tech industry. We celebrate diversity and inclusiveness at Auror, regardless of (but not limited to) race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.
If you need adjustments to any part of our recruitment process because of accessibility reasons, please do not hesitate to let us know during the application process. We will work with you to identify adjustments that will allow you to perform at your best.