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HERE Technologies

Sr Principal Software Engineer

Reposted 4 Hours Ago
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In-Office
Chicago, IL
169K-242K Annually
Senior level
In-Office
Chicago, IL
169K-242K Annually
Senior level
Lead automation in map-making by developing scalable systems and frameworks. Collaborate with teams to integrate AI/ML and ensure content quality.
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What's the role?

At HERE Technologies in the Core Map Engineering organization, we are looking for a highly skilled, self-motivated Sr. Principal Engineer who is passionate about driving automation in map-making through cutting-edge big data and content engineering solutions. You will have the opportunity to shape the future of our large-scale digital map production by architecting automation frameworks and developing scalable systems that leverage advanced data processing and AI/ML techniques.

We offer an environment where you will collaborate with an energetic and dedicated team working on transformative technology that powers products and services used by millions worldwide.


Responsibilities

  • Lead the design and implementation of next-generation map-making automation pipelines within Foundation Engineering, leveraging big data, distributed processing, and ML-driven automation frameworks.
  • Architect scalable systems to process, fuse, and validate heterogeneous content (probe data, aerial imagery, sensor data, etc.) to ensure high-quality map content.
  • Partner with product managers, data scientists, and engineers to develop end-to-end solutions that integrate automation, AI/ML models, and rule-based systems.
  • Provide technical leadership and mentorship, setting engineering standards and best practices for automation, data engineering, and content processing.
  • Evaluate emerging technologies, tools, and architectures to continually improve automation efficiency, content accuracy, and processing scalability.
  • Collaborate with cross-functional teams to drive innovation, accelerate deployment cycles, and meet content quality KPIs.
  • Act as a subject matter expert on big data platforms, content pipelines, and automated validation frameworks, evangelizing their adoption across teams.

What You’ll Get

  • Challenging and impactful problems to solve at global scale
  • Opportunities to learn and implement innovative technologies
  • Work that influences the evolution of automated map-making and location services
  • Freedom to design and drive solutions with high ownership
  • Exposure to a variety of cutting-edge projects in big data, ML, and automation
  • Constructive feedback and professional growth opportunities
  • Collaborative, supportive colleagues across engineering and product teams
Who are you?
  • MS or Bachelors in Computer Science, Data Engineering, Software Engineering, or a related discipline.
  • 12+ years of professional experience in large-scale software engineering, data engineering, or automation for geospatial or content-driven systems.
  • Proven expertise in big data technologies such as Hadoop, Spark, Flink, Kafka, or equivalent.
  • Strong hands-on experience in distributed data processing, ETL pipeline development, and automation of data-driven workflows.
  • Solid programming skills in Python, Java, or Scala, along with SQL and shell scripting.
  • Experience working with NoSQL databases (e.g., DynamoDB, MongoDB) and GIS datasets.
  • Familiarity with containerization and deployment using Docker and orchestration tools (Kubernetes preferred).
  • Knowledge of data mining, machine learning, and/or automation frameworks for large-scale content processing.
  • Demonstrated ability to lead complex projects, influence stakeholders, and drive technical vision at an organizational level.
  • Excellent communication skills to interact with technical and non-technical teams, including external partners.

Preferred Qualifications

  • Experience with automation in geospatial data processing or digital map production pipelines.
  • Background in software development life cycle (SDLC), including CI/CD, testing, and production deployment.
  • Experience in agile development environments.
  • Track record of innovation in building automation frameworks and delivering measurable improvements in system performance and content quality.

The expected base salary range for this position is $169,400 to $242,000 per year. Actual compensation will be based on factors such as skills and experience. 

This position is also eligible for a target 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. 


Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records.


HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.


Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team.


#LI-AG3

Who are we?

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.

Top Skills

AI
Docker
DynamoDB
Flink
Hadoop
Java
Kafka
Kubernetes
Ml
MongoDB
NoSQL
Python
Scala
Spark
SQL

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