Senior Software Engineer (Localization & Mapping)

Hashlist is a platform for projects within the automotive industry.

We establish supplier relationships with automotive companies and provide a one-stop shop for candidates interested in working in the industry.

Are you ready to embark on this journey?

Our client is seeking a Senior Software Engineer (Localization & Mapping). By applying, you gain access to the Hashlist network, unlocking opportunities in automotive projects across the industry.

Available locations: This position is open to candidates in Brazil and India (Bengaluru, Chennai & Pune).

Responsibilities:

• Design, implement, test, and analyze Localization & Mapping software components for automated driving.
• Translate system requirements into technical designs for iterative and agile implementation.
• Collaborate with algorithmic teams to develop core functionalities for map-based driving.
• Optimize map access and localization functions for real-time, safety-compliant applications.
• Work with AI perception teams to fuse map and perception data efficiently.
• Solve technical challenges using industry best practices and comply with security policies.
• Use agile methodologies and Test-Driven Development (TDD) to deliver solutions.
• Collaborate with product owners to define user stories and minimal viable products.
• Drive continuous improvement through code reviews and defect analysis.

Qualifications:

• Master’s degree in Information Technology, Software Engineering, or Computer Science.
• 5+ years of programming experience in a professional environment.
• Advanced experience with modern C++.
• Strong problem-solving, analytical, and organizational skills.
• Excellent communication skills and a customer-focused mindset.
• Ability to work independently, make decisions in uncertain conditions, and multitask.
• Experience working with global teams and managing cross-functional collaboration.
• Proved know-how in some of the following domains: Robotics, Computer Vision, Localization, Mapping, SLAM; Control Theory and Deep Learning as a further plus.

Next Steps:

• Click "Apply."
• We will review your application.
• If qualified, you’ll be accepted into the Hashlist network and considered for this and other relevant projects.