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Senior Robotics Engineer

C++ Developer Computer Vision Engineer 2-5 Years Exp
Job Location: New York, Philadelphia

Location: Hybrid in New York or Philadelphia
Salary: $160K to $190K
Work Policy: Hybrid. Must be based in NY or Philly metro areas
Visa Sponsorship: Available. We can handle most visas

We’re hiring for an engineer who understands perception and systems. If you’ve built SLAM systems that actually run on moving robots and you’ve had to deal with sensor quirks, calibration drift, and noisy environments you’ll thrive here

This isn’t academic. This isn’t a vision only role. We want someone who’s owned the pipeline from sensor to map, who stays close to the hardware, and who ships code that survives in the real world

What You’ll Be Doing

• Building and deploying SLAM systems using ground based LiDAR
• Integrating and tuning sensors directly on vehicles, drones, or mobile robots
• Working on perception systems that map environments at scale, beyond just object or room detection
• Leading sensor calibration workflows, both manual and automated
• Fusing multiple sensor types into a coherent real time perception pipeline

Must Haves

• 4 plus years working on robotics perception and mapping problems
• Deep SLAM experience using LiDAR in real environments
• Proficiency in both C++ and Python
• Strong understanding of intrinsic and extrinsic calibration, including data driven methods
• Experience with multimodal sensor fusion and ultra wide angle cameras
• Hands on mindset. You’ve worked directly with real hardware, not just datasets

What You Bring

• Curiosity, adaptability, and a mission first mindset
• Comfort with fast moving teams and real world constraints
• A practical obsession with making perception systems reliable in dynamic environments

Not a Fit If…

• Your idea of perception stops at object recognition
• You’ve only worked in one narrow part of a large perception stack
• You don’t care how the full system behaves as long as your algorithm runs

This role is about building tough, production grade robotics perception systems. You’ll be part of a team that cares about performance in the field, not theoretical benchmarks

Apply now if you want to solve hard perception problems with full system context and real world feedback

 

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Computer Engineer – CV

Computer Vision Engineer 2-5 Years Exp
Job Location: South San Francisco, CA

Location: San Francisco Bay Area (On-site)
Salary: $130K to $300K
Equity: 0.5% to 2% depending on seniority
Work Policy: On-site 5 days a week. No remote. This is a collaborative hands-on environment
Visa Sponsorship: Available

We’re not looking for academics. We’re looking for engineers who deploy. If you’re deep in the stack, building models, wrangling data, working with hardware, and making it all run in the field, you’ll fit right in

This is not a research role. It’s a production-focused position where your code hits real world constraints, edge compute, real time requirements, unreliable environments, and still needs to work

What You’ll Be Doing

• Building and shipping CV models for action recognition and real world video analysis
• Training and deploying large scale models using production ML workflows
• Working directly with physical environments including edge compute, robotics, manufacturing, and construction
• Owning model lifecycle from data and annotation workflows to real time inference at the edge

What You Bring

• 3 plus years of hands-on experience in CV, ML, or related fields
• Strong background in PyTorch, distributed training, and live model serving
• Deep expertise in modern CV architectures including VLMs, CNNs, LSTMs
• Comfortable with hardware and software integration and performance tuning at the edge
• Experience with large annotated video datasets and multimodal AI (vision plus language plus time)
• MS or PhD in CS, EE, or a closely related discipline

Strong Plus If You’ve Worked In

• Robotics, autonomous vehicles, edge AI, or construction and manufacturing tech
• Field-deployed CV systems in production settings, not just simulated environments

Not a Fit If…

• You only manage teams and no longer write code
• You’ve only worked in academic or lab settings
• You’re disconnected from the mission or impact of applied engineering

This is a rare role. Deep tech. Real world. High ownership. You’ll be joining a team that moves fast, builds clean, and ships code that survives in the wild

Apply now if you’re the type of engineer who cares more about deployment than demos

 

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Computer Vision Engineer (C++)

C++ Developer Computer Vision Engineer
Job Location: Melbourne, Victoria

We’re pushing the boundaries of what machines can see and understand and we need a Computer Vision Engineer who loves solving hard problems from first principles. If you’re the type who’d rather design novel algorithms than just call pre-built libraries, this role is for you.

You’ll develop high-performance, real-time vision systems, writing optimized C++ code that processes and interprets visual data at the edge. No off-the-shelf solutions you’ll build custom perception pipelines alongside world-class AI and engineering teams.

The Work

- Design and implement cutting-edge computer vision algorithms optimized for speed, reliability, and real-world deployment.

- Build low-latency C++ pipelines for processing sensor data in dynamic environments.
- Integrate deep learning models into real-time vision systems, bridging the gap between research and production.
- Tackle challenges like SLAM, 3D reconstruction, object tracking, or multi-camera systems your expertise shapes the tech.
- Stay ahead of the curve by applying (or inventing) the latest advances in CV and ML.

You’re the Right Fit If You Have

- Expert-level C++ you write fast, clean, and maintainable code for performance-critical systems.
- Hands-on experience developing CV algorithms (not just using OpenCV as a black box).
- A strong grasp of computer vision fundamentals: image processing, feature extraction, geometric vision, etc.
- A track record of solving tough technical problems—whether from academia, robotics, or industry.

Bonus Points For
- Experience with SLAM, sensor fusion, or embedded vision systems.
- Knowledge of deep learning for perception (detection, segmentation, etc.).
- A PhD or research background in CV/ML—though we care more about what you can build than your credentials.

Why Join?
- Work on challenging, impactful problems your code will power real-world perception systems.
- Collaborate with top-tier engineers no red tape, just hard technical work.
- Hybrid flexibility based in Port Melbourne, with competitive salary + equity.

If you’re ready to build vision systems that operate at the edge literally apply now.

lance@runtimerec.com or 03 9005 21223

 

 

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  • 64 York Street Sydney, New South Wales 2000 Australia
  • Level 8, 350 Collins Street Melbourne, Victoria 3000 Australia
  • 20 Park Plaza Building, Boston, MA 02116-4303

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