Vision Engineer Job at Automotive Cells Company (ACC) (Billy-Berclau)

Computer Vision Engineer

We are looking for a talented Computer Vision Engineer to join our company. Sigm...

Location

Sweden , Lund

Salary:

Not provided

Sigma Group

Expiration Date

June 29, 2026

Requirements

Master's or Ph.D. in Computer Science, Electrical Engineering, or related field with a focus on computer vision, machine learning, Deep learning, or robotics.
Experience in design and implementation of data collection setups and data pipeline
Minimum of 5 years of industry experience in developing computer vision algorithms for real-world applications, preferably in the automotive or robotics domain.
Strong proficiency in programming languages such as Python, C++, and experience with libraries such as OpenCV, TensorFlow, or PyTorch.
Experience in training, testing models on GPU's and deploying on edge devices such as Nvidia Jetson platforms.
Solid understanding of fundamental computer vision concepts including feature extraction, object detection, tracking, and recognition.
Experience with 3D sensor technologies (e.g., Event cameras, LiDAR, depth cameras) and point cloud processing.
Familiarity with software development best practices including CI/CD, version control, unit testing, and code optimization.
Excellent problem-solving skills and ability to work independently as well as in a team-oriented environment.
Effective communication skills and ability to present technical concepts to both technical and non-technical stakeholders.

Fulltime

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Computer Vision Engineer

We are seeking a Computer Vision Architect to lead the design and implementation...

Location

United States , Los Angeles

Salary:

140000.00 - 220000.00 USD / Year

Snail Games

Expiration Date

Until further notice

Requirements

5+ years of professional experience in computer vision, real-time perception, or related fields
Advanced degree (Master’s or PhD) in AI, Computer Vision, Robotics, or related field preferred
Proven experience building and deploying real-time video perception systems in production environments
Strong C++ proficiency and experience integrating systems into game engines or comparable real-time platforms
Deep understanding of object detection, tracking, temporal modeling, and 3D scene understanding
Experience optimizing models for deployment using CUDA, TensorRT, ONNX, or similar toolchains
Unreal Engine Experience: Proficiency with Unreal Engine, preferably UE4 or UE5

Job Responsibility

Architect and implement real-time computer vision pipelines for analyzing gameplay video and camera feeds
Design systems that convert 2D visual input into structured 3D semantic world models usable by AI agents and NPC systems
Integrate perception modules into Unreal Engine–based runtimes and toolchains
Optimize inference performance for GPU-constrained, real-time environments
Define data collection, evaluation, and iteration strategies for improving perception robustness
Collaborate with AI engineers to design perception interfaces that feed behavior trees, agent systems, and decision models
Establish long-term technical direction for vision-driven gameplay and simulation features

What we offer

True focus on work/life balance
Paid company holidays, vacation, and separate sick leave
Medical, dental, vision, and Life/LTD
401k with company match

Fulltime

Computer Vision Engineer

Bright Vision Technologies is looking for a skilled Computer Vision Engineer to ...

Location

United States , Bridgewater

Salary:

Not provided

Bright Vision Technologies

Expiration Date

Until further notice

Requirements

Computer Vision
Python
OpenCV
TensorFlow
PyTorch
Image & Video Processing
Deep Learning
CNNs
Object Detection & Tracking
Image Segmentation

What we offer

H-1B sponsorship for the 2026 quota
H-1B filing with level 4 prevailing wage

Fulltime

Robotics Computer Vision Engineer

Formic is on a mission to reshape American manufacturing by making automation ac...

Location

United States , San Francisco; Oakland

Salary:

145000.00 - 200000.00 USD / Year

Formic

Expiration Date

Until further notice

Requirements

5+ years of experience in robotics software or autonomous systems
Strong C++ and systems programming experience
Experience with ROS2, DDS, and real-time Linux
Experience building distributed, high-performance, or latency-sensitive systems
Familiarity with GPU compute and ML training pipelines
Strong DevOps and CI/CD experience
Experience supporting production-grade systems beyond research prototypes

Job Responsibility

Design and maintain distributed robotics software architecture
Build middleware and data pipelines for real-time robotic systems
Develop logging, replay, and observability tools
Build scalable data infrastructure to support AI training workflows
Implement model versioning, deployment, and rollback systems
Optimize performance and latency across distributed compute nodes
Develop CI/CD pipelines for simulation and hardware testing
Enable reproducible experiments across simulation and production deployments
Support large-scale data collection from deployed robotic systems

What we offer

Equity in Formic
Competitive & Uncapped Commission Structure
Comprehensive Healthcare Coverage (Medical, dental, and vision insurance)
Additional Insurance Benefits (FSA and DCFSA, life insurance, short-term disability, and long-term disability)
Employee Assistance Program (EAP)
Paid Parental Leave Program (Up to 12 weeks)
Company-sponsored 401(k)
Home Office Stipend
Monthly Cell Phone Reimbursement
Flexible Time Off

Fulltime

Staff Machine Learning & Computer Vision Engineer

Dandy is transforming the massive and antiquated dental industry—an industry wor...

Location

United States

Salary:

244200.00 - 296000.00 USD / Year

Dandy

Expiration Date

Until further notice

Requirements

10+ years of experience post Master's degree, or 8+ years experience post PhD
Extensive experience in Python
Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning
Experience with 3D geometric Computer Vision
Experience with PyTorch
Have immaculate attention to detail and take pride in delivering excellent code and results
Masters or PhD in a related field
Ability to overlap with US Eastern Standard Time working hours

Job Responsibility

Build Computer Vision models to extract structure from unstructured, information-dense 3D scans
Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks
Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific applications
Develop evaluation methods which allow us to establish confidence in our datasets and models
Implement best practices for our MLOps pipelines
Work closely with product owners on a feature focused team to deliver value quickly to Dandy’s customers

What we offer

Offers Equity
healthcare
dental
mental health support
parental planning resources
retirement savings options
generous paid time off

Fulltime

3D Vision Engineer for Aerial Robotics

Fiducial is a young but fast-growing deep-tech start-up with big ambitions at th...

Location

Netherlands , Delft

Salary:

Not provided

Fiducial

Expiration Date

Until further notice

Requirements

Good understanding of, and experience with, modern C++
Real-time software development experience such as game, simulation, robotics or embedded development
Second-nature familiarity with 3D reconstruction concepts: projective geometry, bundle adjustment, PnP, triangulation, feature description, image matching. Experience with building photogrammetry, augmented reality, robotics or visual (inertial) odometry (VIO) solutions
Experience with 3D Gaussian Splatting or derivatives
Deep intuition for transform trees and pose representations used in game engines, computer graphics, and robotics
Hands-on experience calibrating camera intrinsics/extrinsics
Experience ensuring timestamp integrity and tight time alignment across sensors
A high degree of autonomy, determination and grit in making cool tech work
Full time availability (40 hours)

Job Responsibility

Implementing the core functionalities of Fiducial Scout: our software for full on-board situational awareness for UAVs. This includes interception detection, collision avoidance, target acquisition, and GNSS denied visual navigation

What we offer

25 vacation days per year
Reimbursed travel expenses and company laptop
Flexible working hours and option to work from home 2 days per week when in the Netherlands
Working in an international, world-class team of engineers and entrepreneurs
Large freedom in how you work and implement solutions, project ownership
The opportunity to take technical risks, to implement stuff the ‘right’ way and to iterate quickly
Responsibility over the things you implement
Traveling abroad to test the solutions you built in relevant environments

Fulltime

Controls Design Engineer - Vision Systems

As a Controls Design Vision Engineer you will be the driving force behind bringi...

Location

United States , Lewis Center

Salary:

Not provided

ATS Automation Tooling Systems Inc.

Expiration Date

Until further notice

Requirements

Post-secondary degree or diploma in mechanical, electrical, systems, or computer engineering is preferred
Certified Vision Professional (CVP) is an asset
6+ years of experience in engineering design, development, programming and commissioning vision systems, automated systems, custom machinery or industrial equipment
Understanding and hands-on experience with PLCs, robotics control systems and machine operation is an asset
Effective communication skills both verbally and in writing with the ability to work either independently and part of a team in fast-paced environments
Strong programming, mechanical and electrical problem solving skills.

Job Responsibility

Design and develop machine vision solutions specific to customer and project requirements based on standard ATS programming methods
Debug and commission control systems at our facility and on-site at customer locations
Select, test and integrate hardware and software components for vision systems (lenses, polarization filters, vision algorithms) with robots, analog devices, motion controllers, sensors, dispense systems and lasers
Work with other members of the control systems design department and other groups to continuously improve methods of integrating controls technology, with the goals being enhanced safety, enhanced functionality and reduced cost
Work with other members of the control systems design department and other groups to ensure that labor and material budgets as well as scheduled delivery dates are adhered to or improved upon
Work with customers, project managers, designers, toolmakers and electricians to solve problems in order to provide the customer with a complete, functional automation system
Provide thorough testing of machine functionality to verify software program completeness
Provide accurate documentation for each project
Advise customer on solving technical problems
Follow and contribute to quality program (ex. ISO / NQA) procedures

What we offer

Flexible work schedules
Employee events
Free coffee beverages
Employee referral program
Safety shoe programs
Overtime pay eligibility
Paid vacation
Company paid short- and long-term disability and life insurance
Comprehensive health benefits
401K matching program

Fulltime

Computer Vision Engineer

Location

India , Bengaluru

Salary:

Not provided

Larsen & Toubro

Expiration Date

August 12, 2026

Requirements

Bachelor’s degree in Robotics, Computer Science, Mechatronics or related field
Strong proficiency in modern C++ (14/17/20) and Python
Deep understanding of computer vision fundamentals (feature-based vision, geometric methods, multi-view geometry) and AI-based perception using PyTorch
Practical experience deploying and optimising perception models on embedded GPU platforms (Jetson Xavier/Orin or similar)
Hands-on expertise with Triton, TensorRT, mixed-precision inference, Numba-JIT, CUDA kernels, and real-time optimisation techniques
Strong command of ROS/ROS2, TF transforms, message passing, node graph architecture, and middleware integration patterns
Extensive experience with robotics sensor integration including RGB/stereo/depth cameras, LiDAR, radar, IMUs, and GPS—covering calibration (intrinsic/extrinsic), synchronization, timestamps, and data integrity
Knowledge of core autonomy concepts: mapping, costmap generation, scene representation, obstacle detection, and planner interfacing
Solid grounding in Linux systems, multithreading, memory optimisation, real-time constraints, and system-level debugging workflows
Experience with Docker, cross-compilation toolchains, embedded deployment pipelines, and CI/CD systems for robotics software

Job Responsibility

Design, implement, and maintain core autonomy modules that integrate sensing, perception, state estimation, mapping, and planner interfaces into a cohesive real-time system
Develop high-performance computer vision pipelines (classical + AI-based) for detection, segmentation, tracking, and scene understanding, ensuring reliable operation on embedded hardware
Build multimodal perception systems that fuse camera, LiDAR, radar, and IMU data into accurate, navigation-ready environment representations
Deploy, optimize, and maintain autonomy software on embedded platforms (Jetson AGX/Orin), including TensorRT optimisation, cross-compilation, CUDA acceleration, and performance tuning for real-time execution
Own sensor bring-up, configuration, calibration, and synchronization (camera, LiDAR, radar, IMU, GPS), ensuring accurate and stable data for downstream modules
Ensure system-level robustness and safety by maintaining strict latency budgets, deterministic behaviour, numerical stability, and fall-back mechanisms for degraded sensing conditions
Conduct field trials, capture datasets, analyse system performance, and drive iterative improvements across sensing, perception, fusion, and planning layers
Debug deep autonomy stack issues including timing mismatches, calibration drift, concurrency conflicts, synchronization faults, and hardware–software integration challenges
Build deployment-ready autonomy systems using ROS/ROS2, Docker, systemd services, and reproducible build pipelines tailored for embedded platforms
Collaborate with mechanical, electronics, and systems teams to align autonomy software capabilities with real-world hardware constraints and vehicle dynamics

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