AI Jobs

Education Requirements:

• Relevant bachelor's degree

• Advanced degree

Experience Requirements:

• 5+ years of professional experience

• Proficiency with C++14

• Experience with CUDA programming and parallelization of algorithms

• Experience writing TensorRT plugins

• Comfortable using collaborative development tools such as Git and Jira

Other Requirements:

• Strong written and verbal technical communication skills

• Positive, team player mindset

• Autonomy or robotics experience

• Safety critical system development

• Experience with deep learning frameworks such as PyTorch or TensorFlow

Responsibilities:

• Be a part of the team bringing L4 autonomous semi-trucks to market

• Work on the cutting edge of autonomy, optimizing deep learning models for execution on embedded NVIDIA GPUs

• Develop custom CUDA kernels and TensorRT plugins for perception and planning algorithms

• Collaborate with domain experts across the autonomy stack, influencing development, and helping deploy models to truck

• Identify and work to reduce system performance bottlenecks

Benefits:

• A competitive compensation package that includes a bonus component and stock options

• 100% paid medical, dental, and vision premiums for full-time employees

• 401K plan with a 6% employer match

• Flexibility in schedule and generous paid vacation (available immediately after start date)

• AD+D and Life Insurance

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Systems Engineering, Robotics, or a related technical field

Experience Requirements:

• 10+ years of engineering leadership experience

• 5+ years managing large-scale system integration or test teams in complex environments (e.g., autonomy, automotive, aerospace, or robotics)

• Strong understanding of full-stack software systems, embedded platforms, and cross-functional integration practices

• Demonstrated experience leading teams through rapid scaling, tight timelines, and evolving organizational priorities

• Excellent communication, conflict resolution, and stakeholder management skills

Other Requirements:

• A hands-on, execution-focused mindset and the ability to drive clarity and accountability across teams

• Background in autonomous systems or ADAS feature development

• Experience with system bring-up on physical test platforms or vehicles

• Familiarity with HIL systems, ROS/ROS2, safety-critical system testing, or CI/CD infrastructure

• Exposure to defect management, test automation, or metrics-driven engineering practices

Responsibilities:

• Lead a multidisciplinary team responsible for software and hardware integration across the autonomy stack and vehicle platform

• Own the bring-up process of software systems on vehicles and HIL platforms, ensuring successful deployment and operational readiness

• Partner with software, test, validation, and release teams to define integration priorities, debug system-level issues, and streamline handoffs

• Develop and scale frameworks for system testing, defect triage, release qualification, and performance tracking

• Provide visibility to program milestones, system maturity, and integration health to executive stakeholders

Benefits:

• A competitive compensation package that includes a bonus component and stock options

• 100% paid medical, dental, and vision premiums for full-time employees

• 401K plan with a 6% employer match

• Flexibility in schedule and generous paid vacation (available immediately after start date)

• Company-wide holiday office closures

Education Requirements:

• Master's degree in computer science, data science, artificial intelligence or related field

• PhD degree

Experience Requirements:

• 6+ years of professional experience (with Master's)

• 4+ years of experience (with PhD)

• Scientific understanding of robotics learned behaviors

• Experience with learning from or validating in simulated environments

• Mastery of Python and Pytorch, with the ability to transition research level code to production and deployment ready standards

Other Requirements:

• Project Management experience in autonomous driving projects

• 2+ years of people leadership experience

• Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP

• Experience with Ray

Responsibilities:

• Taking the charge on the delivery of learned behavior algorithms

• Collaborates with other management and teams as needed to meet goals, monitor team performance, and achieve objectives

• Responsible for understanding the software or system technical domain of their assigned team

• Accountable and responsible for career development and coaching of the team

• Accountable and responsible for performance management of their team

Education Requirements:

• Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, or a related field

Experience Requirements:

• 3+ years of experience in electrical design for complex electromechanical systems, preferably in automotive, robotics, or aerospace

• Strong understanding of vehicle power architecture, including 12V/24V systems, DC power routing, power protection, and load management

• Familiarity with CAN/LIN bus protocols, Automotive Ethernet (100/1000BASE-T1), and coaxial transmission (e.g., for cameras or radar)

• Experience with harness design tools (Zuken preferably) and/or PCB design tools

• Proficient in debugging electrical systems using lab equipment such as oscilloscopes, logic analyzers, and power analyzers

Other Requirements:

• Experience writing, managing, and validating technical requirements in a systems engineering environment

• Comfortable working in a hands-on development and testing environment, including lab and vehicle-based work

Responsibilities:

• Design and document low- and high-voltage vehicle wiring systems, including compute and sensor harnessing

• Develop detailed schematics and/or PCB layouts for power distribution, sensor interfacing, and control modules

• Specify and integrate vehicle power distribution systems, including fusing, grounding, power converters, and relays

• Design and troubleshoot automotive communication networks, including CAN, LIN, Automotive Ethernet, and coaxial signal paths (e.g., for cameras or radar)

• Create and manage detailed harness drawings including connector selection, wire sizing, shielding, and breakout strategies

Benefits:

• A competitive compensation package that includes a bonus component and stock options

• 100% paid medical, dental, and vision premiums for full-time employees

• 401K plan with a 6% employer match

• Flexibility in schedule and generous paid vacation (available immediately after start date)

• Company-wide holiday office closures

Education Requirements:

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field

• Master’s degree

• PhD

Experience Requirements:

• 0–4 years of experience (with Bachelor’s)

• 0–2 years (with Master’s)

• 0–2 years (with PhD)

• Strong programming skills in C++

• Familiarity with Linux development environments

Other Requirements:

• Exposure to CUDA, GPU programming concepts, or machine learning frameworks (e.g., PyTorch)

• Eagerness to learn, contribute, and grow in an applied ML engineering environment

• Internship or project experience involving distributed systems, GPU programming, or embedded software

Responsibilities:

• Develop and maintain components of the App Engine runtime and SDK supporting ML workloads on embedded GPUs

• Assist in implementing message-passing and data handling between distributed compute nodes

• Contribute to testing, debugging, and performance tuning of ML integration features

• Work closely with senior engineers to learn and apply best practices in GPU programming and embedded ML deployment

Benefits:

• A competitive compensation package that includes a bonus component and stock options

• 100% paid medical, dental, and vision premiums for full-time employees

• 401K plan with a 6% employer match

• Flexibility in schedule and generous paid vacation (available immediately after start date)

• Company-wide holiday office closures

Education Requirements:

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field

• Master’s degree

• PhD

Experience Requirements:

• 4+ years of experience (with Bachelor’s)

• 2+ years (with Master’s)

• 1+ years (with PhD)

• Proficiency in C++ (C++14 or newer)

• Linux development

Other Requirements:

• Hands-on experience with CUDA

• Understanding of parallel programming, GPU acceleration, or real-time systems

• Strong problem-solving skills and ability to collaborate in a fast-paced environment

• Familiarity with PCIe, Ethernet-based interconnects, or embedded device programming

• Familiarity with and at least one ML framework (e.g., PyTorch)

Responsibilities:

• Implement and optimize software components supporting distributed execution of ML models on embedded GPU platforms

• Contribute to message-passing, resource management, and runtime feature development for the App Engine SDK

• Profile and optimize GPU utilization, reducing latency and maximizing throughput for ML workloads

• Collaborate with feature teams to integrate and validate App Engine functionality in vehicle and simulation environments

• Maintain clean, efficient C++ code and unit/integration tests

Benefits:

• A competitive compensation package that includes a bonus component and stock options

• 100% paid medical, dental, and vision premiums for full-time employees

• 401K plan with a 6% employer match

• Flexibility in schedule and generous paid vacation (available immediately after start date)

• Company-wide holiday office closures

Education Requirements:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Robotics, or a related technical field

Experience Requirements:

• 3+ years of full-cycle people management experience

• Deep technical expertise with CUDA, GPU parallel computing, and inference optimization

• Strong proficiency in C++ and Linux-based development with knowledge of real-time systems

• Experience with ML frameworks (PyTorch, TensorRT, ONNX) and model deployment pipelines

• Proven leadership managing software engineering teams in complex, cross-functional environments

Other Requirements:

• Strong understanding of system-level integration and safety-critical requirements

• Ability to thrive in a fast-paced, dynamic, and highly collaborative environment

• Hands-on leadership style — comfortable diving into technical discussions and design reviews

• Experience building or managing application/middleware frameworks for production AV or ADAS systems

• Familiarity with ISO 26262, ASPICE, or other regulated safety standards

Responsibilities:

• Lead and grow a team building the application framework that integrates deep learning models into Torc’s autonomy stack

• Drive technical execution across key focus areas: CUDA optimization, GPU resource management, model conversion pipelines (PyTorch, TensorRT, ONNX), and real-time system integration

• Ensure reliability, determinism, and scalability across multi-sensor autonomous driving workloads

• Partner with cross-functional teams (Perception, Planning, Systems, Validation, Hardware, Safety) to align technical direction and integration priorities

• Mentor, coach, and develop engineers while cultivating a collaborative, high-trust team culture

Benefits:

• A competitive compensation package that includes a bonus component and stock options

• 100% paid medical, dental, and vision premiums for full-time employees

• 401K plan with a 6% employer match

• Flexibility in schedule and generous paid vacation (available immediately after start date)

• AD+D and Life Insurance

Education Requirements:

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or related field

• Master’s degree preferred

Experience Requirements:

• 7+ years of relevant engineering experience in mechanical, hardware integration, or automotive systems roles

• 3+ years of experience managing or leading technical engineering teams in a hands-on environment

• Strong foundation in mechanical product development, system integration, or vehicle-level design

• Proven ability to lead hybrid teams (engineers + technicians) toward complex build and delivery goals

• Skilled in requirements management, DFMEA processes, design documentation, engineering analysis, and iterative prototyping

Other Requirements:

• Effective communicator, able to work across disciplines and manage trade-offs under tight timelines

• Experience with 3D CAD tools (e.g., CATIA, NX, SolidWorks), wiring schematics, or electrical integration

• Background in prototype or low-volume hardware integration for automotive, robotics, or aerospace applications

• Experience interfacing with contract manufacturers or build shops

• Familiarity with fast-paced environments involving rapidly changing requirements and tight turnarounds

Responsibilities:

• Lead day-to-day execution for prototype integration and low-volume builds of autonomous trucking systems and supporting infrastructure

• Oversee a blended team of engineers and technicians, ensuring seamless alignment between system requirements, DFMEA findings, and physical implementation

• Own and evolve internal engineering processes for mechanical and electrical design, requirements management, integration reviews, prototype validation, and feedback to upstream design teams

• Provide hands-on technical leadership in areas such as mechanical packaging, wire harness routing, design reviews, and vehicle bring-up

• Manage staffing, performance management, coaching, career development, and compensation planning for a ~6–8 person team

Benefits:

• Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families

• 401(k) program with up to 2% company matching

• Equity grant participation

• Flexible PTO with a FlexExperience budget ($900 annually)

• FlexWellness program ($1,800 annually)

Experience Requirements:

• 3+ years of experience in backend engineering, preferably in a VC-backed startup environment

• Strong proficiency in our tech stack: Typescript (Node JS), NestJS Framework, Python

• Experience working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques, or demonstrated ability to quickly learn and apply these approaches

• Proven track record of delivering software that creates real value for users

• Experience scaling applications and addressing performance challenges

Other Requirements:

• Comfort navigating ambiguity through rapid prototyping and iterative development

• Strong communication skills and experience working effectively with cross-functional partners

• A passion for continuous learning and improvement in fast-moving technology landscapes

Responsibilities:

• Design, develop, and deploy features that leverage the latest in AI and machine learning technologies, working on core areas of the Jasper platform

• Work directly with large language models, natural language processing, and generative AI systems

• Solve complex technical challenges that push the boundaries of what AI can accomplish

• Write clean, maintainable code that solves intricate problems with elegant solutions

• Take ownership of critical features from conception through deployment and beyond

Education Requirements:

• Bachelor’s or Master’s in Computer Science or a related field

Experience Requirements:

• 7-10+ years of experience in DevOps or Infrastructure Engineering, ideally with exposure to production ML systems

• Proven track record of enabling engineering teams by building developer friendly infrastructure and accelerating deployment velocity

• Hands on experience with CI/CD tools

• Experience implementing monitoring/alerting tools

• Strong knowledge of cloud platforms such as AWS, Azure, or GCP

Other Requirements:

• Bonus: Python or Typescript experience

• Bonus: Experience with LLMs

Responsibilities:

• Design and implement secure, reliable and scalable cloud infrastructure

• Build, manage and scale CI/CD pipelines for fast and repeatable deployments

• Design, build and maintain infrastructure for deploying, monitoring and updating machine learning models in a scalable and cost effective way

• Define and enforce best practices for infrastructure, security and incident response while balancing operational rigor with developer productivity

• Work closely with app eng to streamline build/test/deploy workflows

Benefits:

• Medical, dental, vision, life, and disability insurance

• 401k plan

• Monthly allowance for commuting/internet and fitness/wellbeing

• Generous paid time off (sick, personal, vacation, holidays)

• Annual bonuses and long-term incentive plan

Education Requirements:

• Bachelor’s degree in Computer Science, ML/AI, or relevant technical field, or equivalent practical experience

• Ph.D., research background in ML/AI in CS or AI, or relevant technical field (preferred)

Experience Requirements:

• 5+ years experience working in ML

• Experience building, scaling, and optimizing enterprise-grade ML/AI systems

• Experience coding in Python, C/C++, or other similar languages

• Experience communicating AI research and development to non-technical audiences

• Expertise in geospatial AI, such as remote sensing and/or ML for geospatial trajectories

Other Requirements:

• Move fluidly between AI research and production engineering

• Deeply experienced in one or several areas in foundational machine learning research, and production-scale deployment

• Operate with autonomy and a bias toward action, iterating quickly while ensuring long-term sustainability

• Enjoy working in a highly collaborative environment

Responsibilities:

• Advancing foundation models for geospatial intelligence

• Addressing domain adaptation, low-resource settings, and high-impact decision-making

• Minimizing the cost of annotating high-quality, large-scale geospatial datasets

• Scaling model training and inference responsibly, efficiently, and cost-effectively

• Building robust AI-first tools that enable scientists, policymakers, and conservationists to generate actionable intelligence

Other Requirements:

• Open to working 4 days a week in our downtown San Francisco office

• Open to a 20 minute technical screener

• Willingness to complete a technical at-home assignment (under an hour, 3-5 days to complete) to gauge technical strengths and abilities with React

Benefits:

• Flexible working hours

• Team building

• Afterworks, team lunches, etc.

• Peaceful and calm office space with an amazing view on “Les bassins à flots” (Bordeaux)

• Coworking space on the top of the Montparnasse tower with a 360 view of Paris

Experience Requirements:

• More than 2 years of experience in web applications back-end development

Other Requirements:

• Experience in web applications back-end development

• Python 3 (mandatory)

• Django (strongly recommended)

• Docker

• Data Engineering (optional)

Responsibilities:

• Contribute to conception, development and maintenance of web applications using industrial data, especially their back-end base

• Design, implement, test and deploy back-end applications

• Handle data access, collection and storage, keeping in mind performance, scalability and security

• In charge of execution, orchestration and supervision of data pipelines and predictive algorithms services

• Improve operational efficiency and competitiveness of our industrial clients

Benefits:

• Green mobility support

• Flexible working hours

• Team building

• Afterworks, team lunches, etc.

• Peaceful and calm office space with an amazing view on “Les bassins à flots” (Bordeaux)

Experience Requirements:

• More than 5 years of experience

Other Requirements:

• Advanced knowledge of the python programming language and its ecosystem

• Deep understanding of the main Python web Frameworks (Django, FastAPI, Flask, …) and related technologies (Celery, Airflow, Redis, PostgreSQL)

• DevOps spirit and understanding of the challenges and technologies in deploying web applications, either cloud or on-premises

• Knowledge of the main cloud providers and understanding of their main differences, ability to design architectures leveraging their specificities

• Familiarity with devops cloud tooling and IaC technologies (terraform. helm, cloud sdks)

Responsibilities:

• Contribute to the delivery of our clients’ projects, managing development team and activities

• Contribute to the animation of technical groups and the development of internal assets

• Contribute actively to teams’ development

• Understand the client’s business issues and needs, and translate them into technical requirements

• Coordinate the work of the development team, provide technical coaching and methodological support to developers and guarantee code quality

Benefits:

• Be part of a leading DevOps and Atlassian consulting company with over 650 experts across 10 countries

• Work with exciting customers across industries and tackle complex system implementation projects

• Grow your career in a learning driven culture with opportunities for training, certifications, and knowledge sharing

• A flexible and dynamic work environment with opportunities for remote work

• A strong learning culture, with access to certifications, training, and conferences

Experience Requirements:

• Strong hands-on technical experience with the Atlassian platform (Data Center and Cloud)

• Experience leading or coordinating technical implementation projects

• Atlassian certifications or accreditations

• Practical experience in on-premise to cloud migrations

• Familiar with Agile and ITSM concepts and tools

Other Requirements:

• Understanding of integrations and APIs (e.g., REST, webhooks, automation rules)

• Knowledge of enterprise tools such as GitHub, Bitbucket, Azure DevOps, Jenkins

• Language skills: German (fluent, minimum B2), English (at least basic)

• Is passionate about technology and hands-on problem solving

• Enjoys working directly with systems and tools

Responsibilities:

• Working hands-on with customers to design, implement, and customize Atlassian products

• Developing technical solutions for Jira, Confluence, Bitbucket, and other Atlassian tools

• Leading and contributing to complex Atlassian-based ITSM and DevOps implementations

• Working alongside a team of experienced Atlassian professionals to solve real technical problems

• Providing technical guidance and mentoring for both customers and teammates

Benefits:

• Opportunity to be a part of a community passionate about delivering value and finding the right solutions for our customers

• Culture of continuous learning, experimentation, and dedicated time each week for knowledge sharing

• Environment where individuals can be themselves and invest in their development

• Opportunity to collaborate with leading businesses

• Actively participate in the community, and foster collaboration beyond our offices

Experience Requirements:

• Deep knowledge of the main Atlassian products, particularly Jira administrator

• Experience as Confluence administrator will also be prioritized, but not as essential as Jira admin experience

• Some knowledge and experience with Rovo will be prioritized

• Knowledge of configuration and administration to effectively manage Atlassian products

• Experience with Jira automation rules, config and debug

Other Requirements:

• Communication

• Problem-Solving

• Agile Expertise

• Adaptability & Curiosity

• Client & Project Management

Responsibilities:

• Designing and implementing Atlassian solutions that are perfectly aligned with our customers' needs

• Leading workshops to tackle complex problems, helping teams get the most out of tools like Jira and Confluence

• Mentoring and training our customers' teams, empowering them with the skills and knowledge to become self-sufficient

• Ensure Atlassian tools fit in with the current DevOps practices, tools & culture as well as give advice on how Atlassian fits into the DevOps landscape

Benefits:

• An entrepreneurial team passionate about creating the technology to power the world's avatars

• Opportunity to work with an internationally diverse team

• Great perks (autonomy, flexible working hours, and team events)

Education Requirements:

• Master's or PhD degree in computer science or related field

Experience Requirements:

• Experience with 3D computer vision and Deep Learning libraries (pytorch, tensorflow)

Other Requirements:

• Knowledge of the SMPL family of statistical models

• Experience with Unreal Engine/Blender/Unity etc

Responsibilities:

• Support the R&D team to develop new ML methods in the areas of marker-less motion capture, motion generation, motion understanding, synthetic data generation

• Help with ongoing research projects

• Coordinate with your mentors and the wider engineering team to help productize the latest research

• Opportunity to publish at top-tier computer vision, graphics, and ML conferences, e.g. CVPR, ICCV, ECCV, SIGGRAPH, ICLR, NeurIPS

Education Requirements:

• Master’s or PhD degree in computer science or related field

Experience Requirements:

• Solid understanding of 3D computer vision, deep learning, and training new machine learning models for human motion, behavior & interaction estimation and modelling

• 5+ years experience developing in Python and/or C++

• Proven track record of publications on topics related to generative models, neural methods and transformer for 3D humans in motion

• Strong understanding of computer vision, graphics and machine learning

• Excellent written and oral communication skills

Other Requirements:

• Demonstrable experience with the SMPL family of statistical models

Responsibilities:

• Work and research on new generative models, neural methods and transformer for 3D humans in motion

• Participate in ongoing research projects with external research partners and help define new research initiatives

• Coordinate with the engineering teams to automate and productize latest research, both internal and collaborative

• Define the technical direction on evaluation methods, improvements and further development of software using the machine learning and NNs

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Disability insurance

Experience Requirements:

• 5+ years’ experience in programming for front- and back-end applications and databases.

Other Requirements:

• Familiarity with languages and frameworks such as Python, Typescript, Django and Next.js.

• Familiarity with Postgres, MongoDB, Apache Cassandra, Redis and Neo4J or other relational and non-relational database technologies.

• Basic knowledge of building applications in the cloud, with a preference on Azure cloud.

• Basic knowledge of Kubernetes and containerized development and deployment.

• Experience working on large scale Enterprise applications is preferred.

• Experience working with multi-mode data delivery such as API’s, events and file shares.

• Strong analytical and critical thinking skills to deliver value-added solutions.

• Commitment to client satisfaction serving as an advocate for our users.

Responsibilities:

• Work as part of a Scrum team to implement improvements to our applications.

• Work across geographies with a diverse software development team.

• Adapt and learn to work with new technologies.

• Provide front- and back-end development and deployment support.

• Develop containerized cloud services.

Benefits:

• medical, dental and vision benefits

• life insurance

• short term and long-term disability

• 401(k) retirement plan

• vacation and sick leave

Education Requirements:

• BA/BS in Computer Science, a related field, or a similar college level education

Experience Requirements:

• 0-1 years of industry experience

• Strong foundation in data structures, algorithms, and software design

• Fluency with Java, C++, Python, or similar (we primarily code in Java)

Other Requirements:

• Openness to new technologies and creative solutions

• Comfortable working within a fast-paced high growth startup environment

Responsibilities:

• Participate in full life-cycle software development

• Design, implement, and deploy highly scalable and reliable systems

• Build storage systems, libraries, and frameworks

• Contribute ideas for new features and identify areas for improvement proactively

• Collaborate effectively across teams, including outside of engineering