About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Automation Machinery Manufacturing.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Role overview

Join a Confidential Client engineering team building production autonomy software for deployed industrial autonomous vehicles. This early-career Software Engineer role focuses on calibration, mapping, and localization (CLAM) for real vehicles—developing, testing, and shipping algorithms and tools used in real-world fleets. You'll work with senior engineers and cross-functional teams (vehicle infrastructure, hardware, QA, Perception, Planning, Control) to deliver robust mapping and localization on physical hardware.

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What You'll Do

• Implement, tune, and test mapping, localization, and sensor-calibration algorithms in C++ and Python.
• Build and maintain tools, metrics, and continuous testing frameworks to validate performance.
• Debug algorithm performance using real-world and simulated sensor data; iterate from vehicle test feedback.
• Integrate CLAM components with vehicle infrastructure and autonomy stacks; participate in code reviews and testing.
• Own scoped components and deliver to product-driven milestones while learning from senior engineers.

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Qualifications

• BS or MS in robotics, computer science, electrical engineering, or similar technical field (MS is a plus).
• Strong foundations in probability, linear algebra, 3D geometry, and spatial coordinate transforms.
• Familiarity or demonstrated willingness to learn matrix factorization and Lie algebra/groups.
• Knowledge of 3D LiDAR-based mapping/localization concepts (e.g., LOAM, GICP, FastLIO, bundle adjustment).
• Exposure to state estimation frameworks or nonlinear optimization libraries (EKFs, GTSAM, G2O, Ceres, etc.).
• 2–4 years of experience (including internships, research, or academic projects) developing robotics or autonomous vehicle software.
• Proficiency in C++ in collaborative environments (unit testing, code review, version control).
• Proficiency in Python.
• Strong written and verbal communication; eagerness to learn from senior engineers.

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Bonus Qualifications

• Academic publications, patents, or notable open-source contributions.
• GPU/CUDA experience for algorithm acceleration.
• Hands-on experience deploying or tuning algorithms on physical vehicles/robots.
• Experience with multi-sensor calibration and mis-alignment detection.
• Camera-based SLAM and 3D multi-view geometry experience.
• Familiarity with ROS2 and modern engineering tools (Git, Jira).

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Benefits & Perks

• Health: Medical, Dental, Vision; HSA/FSA; 1:1 Health Concierge; Employee Assistance Program.
• Life, short-term, and long-term disability (employer-funded premiums).
• 401(k) plan.
• Commuter benefits.
• Flexible vacation policy; paid parental leave.
• Remote or hybrid work opportunities; monthly meal and tech allowances for remote employees.
• Daily lunches and stocked kitchens for in-office staff.
• Sabbatical after five years.

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Compensation & Employment Type

• Salary range: $162,000 - $180,000 a year (base). This range is provided to comply with pay-transparency requirements for listings in applicable jurisdictions.
• Employment type: FULL_TIME

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How we hire & data use

Careertakes and our client may use AI tools to assist with application review or screening; these tools support recruiters and do not replace human decision-making. Final hiring decisions are made by people.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.