Sr. Software Engineer

HERE teams work with complex models and large, continuously changing data sources. Turning that work into dependable products requires more than a successful notebook: it requires scalable services, durable interfaces, observable pipelines and thoughtful engineering tradeoffs.

In this proposed positioning, you will build the platform and software foundations that help data scientists and ML engineers train, evaluate, deploy and operate AI capabilities using HERE spatial data.

You will solve real systems problems around scale, reliability, performance and developer velocity while partnering closely with applied AI and simulation teams. What will you do?

• Design and build production-grade services and pipelines that support ML training, evaluation and inference workflows.
• Create durable APIs and data interfaces between research systems, platform components and downstream products.
• Improve scalability, reliability, observability and cost efficiency across cloud-based workloads.
• Build automation for model packaging, testing, deployment and operational monitoring.
• Work with large, complex datasets while maintaining strong standards for data quality, security and reproducibility.
• Partner with data scientists and ML engineers to turn prototypes into maintainable software.
• Contribute to architecture decisions, code reviews, testing strategy and engineering standards.

You are a product-minded software engineer who enjoys making hard technical work usable, scalable and reliable.

• Strong software-engineering experience in a modern backend language such as Python, Java, Scala, Go or C++.
• Experience designing distributed systems, cloud services, data platforms or ML infrastructure.
• Strong API design, testing, debugging and performance-engineering fundamentals.
• Experience with containers, CI/CD and production observability.
• Ability to work effectively with data scientists, ML engineers and platform teams.
• A bias toward clear architecture, measurable reliability and practical delivery.

It would be great if you also bring

• Experience with Kubernetes, workflow orchestration or feature/model platforms.
• Experience with geospatial, mapping, sensor or high-volume event data.
• Familiarity with GPU workloads, model serving or ML evaluation systems.
• Experience supporting AI or simulation products in production.

The expected base salary range for this position is $130,000 to $140,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for an annual performance bonus, which is subject to company and individual performance.

Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies.

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.