We are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group.
In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools.
The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.

We are looking for a highly skilled Computer Vision & Algorithms Engineer to take ownership of core perception and decision-making modules - bridging the gap between machine learning outputs and real-world robot behavior.

In this role, you will turn noisy, imperfect sensor data and incomplete computer vision outputs into robust, actionable decisions, ensuring reliable system performance in challenging outdoor conditions.

This is a hands-on, high-impact role in an early-stage startup, requiring strong ownership, fast iteration, and comfort working in ambiguous, real-world environments.

What You'll Do
Own the design, implementation, and validation of perception post-processing and decision-making modules
Transform ML and computer vision outputs (e.g., 3D point cloud segmentation, sensor data) into reliable, structured representations
Develop algorithms for noise filtering, tracking, and spatial reasoning under uncertainty
Design and implement decision logic for robot target selection and behavior
Develop and improve computer vision and 3D perception pipelines for real-world deployment
Work closely with ML engineers to define interfaces, handle uncertainty/confidence, and improve system robustness
Deploy and optimize algorithms on embedded edge platforms (NVIDIA Jetson)
Write production-grade C++ code and prototype in Python
Debug and iterate using real-world flight data and field tests
Lead the module validation within the integrated robot environment and field-test scenarios

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of state-of-the-art computer vision products from concept to production. In this role, you will be a part of a highly talented R&D team driving the core of inspection portfolio, while researching and implementing diverse Machine and Deep Learning algorithmic solutions to solve complex, real-world visual challenges.
A day in the life and how youll make an impact:
Design and Development of novel, robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
Create Proof of Concepts (PoC) for new products and technologies, transitioning research-grade ideas into scalable, production-ready systems.
Evaluate, benchmark, and profile different algorithms on unique, large-scale proprietary datasets, while driving data-centric AI methodologies (active learning, data curation).
Collaborate with infrastructure, MLOps, and hardware teams to define future technology, features, and optimize models for real-time inference constraints (on Edge/Cloud devices).

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI.
With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of state-of-the-art computer vision products from concept to production. In this role, you will be a part of a highly talented R&D team driving the core of UVeye’s inspection portfolio, while researching and implementing diverse Machine and Deep Learning algorithmic solutions to solve complex, real-world visual challenges.
A day in the life and how you’ll make an impact: Design and Development of novel, robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges. Create Proof of Concepts (PoC) for new products and technologies, transitioning research-grade ideas into scalable, production-ready systems. Evaluate, benchmark, and profile different algorithms on unique, large-scale proprietary datasets, while driving data-centric AI methodologies (active learning, data curation). Collaborate with infrastructure, MLOps, and hardware teams to define future technology, features, and optimize models for real-time inference constraints (on Edge/Cloud devices).

If you're looking for a role that combines deep technology, ownership, and real-world impact - this is your opportunity.

You'll work on 0→1 development of next-generation computer vision capabilities, addressing operational challenges for which no proven solutions currently exist.

Key Responsibilities:
Drive end-to-end computer vision solutions from concept and research through deployment and operational validation.
Develop detection, classification, and tracking algorithms.
Improve performance on small and distant aerial targets.
Build and maintain training datasets and evaluation tools.
Optimize models for real-time operational performance.
Collaborate with software, hardware, and systems engineering teams.

Required Computer Vision & Autonomy Engineer
Why this role exists
An aircraft roughly four times quieter than conventional eVTOLs earns something no one else has: permission to operate low, close, and often over real neighborhoods. That permission is worthless unless the vehicle can perceive the environment it has been invited into - urban canyons that degrade GNSS, rooftop landing sites measured in meters, and airspace shared with everything from birds to delivery drones. This role exists to build the perception and autonomy stack that converts our acoustic advantage into safe, routine flight over cities, including the precise state estimation that lets the vehicle hold the noise-optimal trajectories our acoustics team designs.
What you'll own:
Design and own multi-sensor fusion pipelines - camera, radar, GNSS/INS, and altimetry - delivering robust, high-rate state estimation through GNSS-degraded urban environments.
Build the landing-site perception system: real-time detection, geometric assessment, and obstruction monitoring of vertiports and contingency sites during steep, noise-optimal approaches.
Train, quantize, and deploy neural perception models on embedded flight compute, owning latency, memory, and power budgets down to the millisecond.
Develop perception for detect-and-avoid: tracking non-cooperative traffic - small UAS, birds, general aviation - at ranges that preserve quiet, gentle avoidance maneuvers.
Stand up the data engine: flight-test data collection, ground-truth generation, dataset curation, and automated regression of model performance across releases.
Validate the perception stack in high-fidelity simulation, sensor replay, and hardware-in-the-loop benches before any algorithm touches the vehicle.
Architect run-time monitoring and assurance around learned components, producing the evidence structure a certification authority can eventually accept.
Support flight test campaigns end to end: integrate and calibrate sensors, analyze logs, and turn every anomaly into a fix or a documented limit within days.

Join an innovative technology company developing an AI-powered computer vision platform with real-world impact. In this role, you'll lead the design, development, and deployment of advanced AI and computer vision algorithms, taking solutions from research to production while working closely with multidisciplinary engineering teams.

Responsibilities

Design, train, and deploy deep learning models for computer vision applications.
Develop algorithms for object detection, segmentation, tracking, and behavior analysis.
Build and optimize real-time AI solutions for edge and cloud environments.
Research, evaluate, and integrate state-of-the-art AI and computer vision technologies.
Monitor, debug, and continuously improve production ML systems.
Collaborate with Software, Product, QA, and multidisciplinary engineering teams, while mentoring other engineers.

We are looking for an experienced Embedded Software Engineer to join our team and develop advanced software for complex airborne and ground-based electro-optical systems.

In this role, you will work on real-time embedded software, image and video processing, sensor integration, and system-level capabilities. You will collaborate closely with software, algorithms, hardware, validation, and system engineering teams throughout the development lifecycle, from concept and implementation to integration and field testing.



Responsibilities

Develop and optimize software for real-time embedded systems.
Design, develop, and debug software using C++ and Java.
Work in Linux/UNIX embedded environments.
Integrate cameras, IMU sensors, LIDAR, and additional peripherals.
Contribute to image processing, video analysis, and computer vision capabilities.
Investigate system issues, perform debugging, and optimize performance.
Participate in system integration, validation activities, and field testing.
Collaborate with multidisciplinary development teams.

We are looking for a strong C++ / Python Software Developer to develop innovative software solutions in C++, Python, and C#.
In this role, you will own and develop an SDK that sits at the heart of our animal-monitoring products. This is a high-impact, cross-platform role, working closely with algorithms and turning computer-vision and inference capabilities into a reliable, well-documented developer platform.
We are looking for an engineer who cares about architecture, clean interfaces, performance, and long-term maintainability, with the ability to think fast, be innovative, work well as part of a team, and continuously learn.
Responsibilities:
Design, develop, test, and maintain the SDKs C++ core and its Python bindings, with a focus on performance, stability, monitoring, and a clean public API.
Package and distribute the SDK with semantic versioning and reproducible builds across platforms.
Collaborate with algorithm, product, and application teams to gather requirements, translate them into technical designs, and implement them.
Write and maintain unit and integration tests and build tooling that keeps the SDK reliable as it grows.
Conduct code reviews, identify and fix bugs, and continuously improve performance and code quality.
Write clear technical documentation and examples so that other developers can adopt the SDK quickly.
Work in an Agile environment, research independently, think outside the box, and drive problems through to solutions.