Software Engineer - Computer Vision Job at Verkada (San Mateo)

Senior Software Engineer | Computer Vision & Machine Learning

We are looking for a seasoned, hands-on Software Engineer with deep expertise in...

Location

Germany; Spain , Mannheim; Valencia

Salary:

Not provided

HUBBLR GmbH

Expiration Date

Until further notice

Requirements

4+ years of professional experience building ML/CV applications in Python
Proven expertise in Computer Vision: Demonstrable experience with object detection, image segmentation, or related tasks in a production environment
Deep Learning Proficiency: Hands-on experience with modern frameworks like PyTorch or TensorFlow
CV Toolkit: Strong skills with libraries such as OpenCV, scikit-image, or similar
Technical Leadership: Experience leading at least one major ML/CV project from initial concept to successful production deployment
Model Optimization: Practical knowledge of techniques like quantization, pruning, or knowledge distillation to make models efficient
Pragmatic Mindset: An analytical, MVP-focused approach to problem-solving, with a focus on delivering value quickly
Excellent Communication: Fluent in English, with the ability to provide constructive feedback to teammates and communicate clearly with clients
Location: Ability to work from our Mannheim or Valencia office in a hybrid model

Job Responsibility

Lead Technical Development: Design, build, and deploy production-ready computer vision solutions for real-world applications like object detection, image segmentation, and theft detection
Own the ML Lifecycle: Take full ownership of the end-to-end ML pipeline, including data annotation workflows (e.g., CVAT), model training, optimization (quantization, pruning), and deployment on cloud infrastructure
Drive Architectural Decisions: Actively participate in and influence architectural and technological choices for new and existing ML-powered software projects
Collaborate and Guide: Work within a distributed team (Münster, Hamburg, Mannheim, Valencia), provide technical guidance, conduct code reviews, and champion best practices
Act as a Client Partner: Communicate directly with client CTOs and stakeholders. You'll provide status updates, estimate development tasks, and help manage project scope and timelines

What we offer

High Impact: You won't be a small cog in a big machine. You will own projects, see your work go live, and make a tangible impact on our clients' businesses
Growth & Learning: You'll be exposed to a variety of projects across different industries, ensuring you're always learning and tackling new challenges
A Culture of Trust & Ownership: We hire smart people and trust them. You'll have the autonomy to make decisions and manage your work independently
Diverse & Inclusive Team: We are committed to building a diverse team. We welcome people who are like us and people who are unlike us. This includes but is not limited to gender, ethnicity, age, academic background, and character

Fulltime

Senior Software Engineer, Computer Vision and Deep Learning

Mashgin is looking for a passionate Computer Vision engineer who loves solving e...

Location

United States , Palo Alto

Salary:

200000.00 - 300000.00 USD / Year

Mashgin

Expiration Date

Until further notice

Requirements

8+ years relevant coding experience
Masters degree in Computer Science or related field
Strong background in Computer Vision
Exposure to new Deep Learning techniques for image recognition

Job Responsibility

Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems
Coming up with large scale data collection techniques for training Deep Neural Nets
Driving the development of new algorithms that dramatically improve our existing methods
Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images
Coding full-stack building products from end to end

What we offer

Excellent health, dental and vision insurance for you and your dependents
401k plan
Flexible PTO policy
Catered lunch in office with fully stocked snacks and beverages
Pet insurance for your fur babies
Voluntary life insurance plan
Competitive salary and options in a small, rapidly scaling company

Fulltime

Computer Vision Software Engineer - University Graduate 2026

We are looking for software engineers who thrive in a high growth environment wo...

Location

United States , San Mateo

Salary:

125000.00 - 140000.00 USD / Year

Verkada

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, preferably with research experience
Internship experience in AI or Computer Vision
Mastery of at least one practical programming language
Comfortable working in an agile team software development environment
Must be willing and able to work on-site five days per week

Job Responsibility

C++ - writing clean, modular C++ code
Traditional computer vision algorithms
Training deep learning networks using TensorFlow, PyTorch, Keras, Caffe, or similar
Data structures and architecture

What we offer

Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
Nationwide medical, vision and dental coverage
Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
Expanded mental health support
Paid parental leave policy & fertility benefits
Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
Professional development stipend
Fertility Stipend
Wellness/fitness benefits
Healthy lunches provided daily

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

Senior Machine Learning Engineer, Computer Vision - Robotics

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Ph...

Location

United States , San Francisco

Salary:

218400.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master’s degree with 4+ years of equivalent professional experience in an applied research setting
5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning
Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax)
Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation
In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles
Building real-time and batch ML systems that analyze structured and unstructured signals
Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements

Job Responsibility

Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds)
Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full-body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high-performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video-based action recognition, and motion analysis
Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure
Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams
Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research
Cross-Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
may be eligible for additional benefits such as a commuter stipend

Fulltime

Machine Learning Engineer - Computer Vision

We are seeking a highly skilled and motivated Machine Learning Engineer speciali...

Location

United States , Arlington

Salary:

Not provided

CaseGuard

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools
Experience with data manipulation tools such as Pandas, NumPy, and SQL
Strong programming skills in Python and C++
Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm
Proficiency in working with image and video data, including preprocessing and augmentation techniques
Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning
Strong communication skills and the ability to work collaboratively in a team environment

Job Responsibility

Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition
Optimize and fine-tune deep learning algorithms for real-time performance
Work closely with the software engineers and product teams to identify opportunities for leveraging data
Collect, clean, and preprocess large datasets to prepare for model training and evaluation
Evaluate and optimize machine learning models for accuracy, performance, and scalability
Deploy models into production environments and monitor their performance to ensure reliability
Stay up-to-date with the latest advancements in computer vision and artificial intelligence
Collaborate with cross-functional teams to integrate machine learning solutions into business processes
Document processes, models, and implementations to ensure reproducibility and scalability

What we offer

Competitive salary
Comprehensive health and wellness benefits
Professional development opportunities and continuous learning programs
Collaborative and inclusive work environment

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

Principal Engineer, Computer Vision & AI /3D Data (Team Lead)

Cesium is the leading open platform for streaming and visualizing huge 3D geospa...

Location

Salary:

Not provided

Bentley Systems

Expiration Date

Until further notice

Requirements

PhD or equivalent in Computer Vision, AI, or Machine Learning
10+ years' experience as a Software Engineer
at least 5+ years leading and mentoring technical teams within a product driven environment
5+ years of experience in AI/3D vision development including industry experience of deploying AI and working with 3D data, including ML ops and practical, user-focused product development
Expertise in deep learning, computer vision, 3D geometry, and multimodal AI, including experience with large language models
Strong programming skills in Python and/or C++ with ML frameworks (PyTorch, TensorFlow), GPU programming (CUDA)
Excellent communication and leadership skills
Fluent in English

Job Responsibility

Lead and mentor a team of 5 engineers, providing technical direction and project coordination in computer vision and AI/3D data modeling projects, providing coaching and guidance
Design and deploy advanced AI/ML and 3D vision algorithms generated by our modelling team for large-scale datasets for practical, user focused product development including point clouds, meshes, sensor data and Gaussian splatting
Define the AI strategy and contribute to product roadmap decisions
Implement ML Ops practices for scalable, automated training and inference pipelines
Conduct research on emerging AI techniques for 3D understanding and integrate findings into production
Ensure quality through rigorous evaluation, optimization, and code reviews

What we offer

A great Team and culture
An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
An attractive salary and benefits package
A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups
A company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world

Select Country

Software Engineer - Computer Vision

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?