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

• 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:

• 4+ years of experience as a Customer Success Manager, Account Manager, or similar role.

• Proven track record of achieving commercial targets and goals, preferably in a SaaS setting.

• Experience managing complex accounts and renewals.

Other Requirements:

• Excellent interpersonal skills with a history of building strong business relationships.

• Influential communicator with experience presenting to small and large audiences.

• Proficient in organization, account prioritization, and time management.

• Ability to orchestrate cross-functional resources to ensure the success of your customers.

• Excited by the startup environment; you want to contribute to fine-tuning the structure and process to scale the customer success team.

Responsibilities:

• Work with 30-50 of our Commercial customers to leverage AI in their specific industries and businesses.

• Serve as a customer advocate by building a strategy to manage the engagement and success of our customers.

• Act as a trusted advisor to our customers to drive broad product adoption and ensure they reach high levels of satisfaction with the product.

• Become a product expert: Develop best practices to share with customers, helping them best leverage Jasper's full functionality.

• Interface closely with sales, support, product, and engineering teams to share client feedback, resolve escalations, deliver outstanding customer experiences, and directly impact the product roadmap.

Benefits:

• Mutuelle coverage for hospitalisation and mental health care provided through Alan Comprehensive healthcare plan

• Flexible PTO with a FlexExperience budget (€552 annually)

• FlexWellness program (€1,640 annually)

• Generous budget for home office set up

• €1,375 annual learning and development stipend

Experience Requirements:

• Portfolio with a history of impactful projects that showcase your design process.

• Demonstrate a proven track record of iterating on products post-launch based on user data about how the designs are performing.

Other Requirements:

• Demonstrate strong UX/UI, interaction in the context of AI and visual design skills, along with a human-centric approach to designing products.

• Able to understand a complex system, able to turn sophisticated consumer problems into simple and engaging products/features, able to think strategically about business problems and inventing UX concepts to solve them.

• Comfortable working in a fast-paced environment and collaborating with other designers, product managers, engineers, UX researchers, data analysts, customer support teams, marketers, and more.

• A bias for action and prioritized focus on how your work impacts users and the business.

• Fluency in commonly used design software and related tools WYSIWYG editors (Figma, Sketch, Adobe CS, etc.)

Responsibilities:

• Design end-to-end user experiences through collaborative brainstorming, user journeys, interactive prototypes, and polished visual design comps.

• Design intuitive, effective interactions between humans and AI, whether through chat interfaces or traditional UI elements, with a focus on making AI capabilities feel natural and empowering.

• Lead strategy sessions with Product Managers to break down complex, ambiguous problems into sophisticated solutions.

• Lead user research for your team's scope and collaborate with our internal UX research team

• Use research and qualitative data to guide design and development decisions.

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

Education Requirements:

• Engineering or Sciences (from a Grande École, Master’s degree, or equivalent)

Experience Requirements:

• 5 to 12 years of successful experience in digital or data-driven projects

• Experience ideally within the industrial sector

• Exposure to the client on a daily basis in the context of digital services (priority)

• Exposure to industrial engineering and/or industrial data (priority)

Other Requirements:

• Strong analytical and problem-solving abilities

• Proven experience in analyzing and optimizing business processes

• Excellent interpersonal skills

• Clear and effective communication skills in English

• Proactive mindset

Responsibilities:

• Monitor the execution of local delivery, in coordination with the France project manager

• Size all delivery activities and tailor the project approach and planning

• Maintain and prioritize the product backlog

• Participate in agile ceremonies (sprint planning, reviews, and retrospectives)

• Ensure that delivery meets the client’s expectations and Fieldbox’s standard of Excellence (time, budget, scope/value)

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:

• Fully remote opportunity. We offer flexible and remote work opportunities so you can shape your work in the way that fits you best

• 30 days paid vacation per year, plus public holidays

• Competitive benefits package through EfiCare which includes wellbeing benefits, JobRad, childcare benefits, capital-forming opportunities and more

• We provide opportunities to work with leading businesses in Europe and the US

• We work in a diverse environment that respects experience, nurtures talent, and encourages growth

Experience Requirements:

• Demonstrated experience in selling Microsoft products, including GitHub

• Proven success in sales and goal achievement

• Strong commercial sense and customer-oriented working methods

• CRM knowledge, ideally Salesforce

Other Requirements:

• Strong English and German language skills (written and verbal)

Responsibilities:

• Act as the main point of contact for GitHub/Microsoft inquiries, and be responsible for account planning and joint deal pursuits with GitHub and Microsoft account teams in Germany

• Successfully grow the GitHub/Microsoft footprint and net revenue contribution in-line with business expectations

• Hunt opportunities, drive deal-making, negotiate contracts and manage relationships with major customers

• Develop trusted advisor relationships with key accounts, customer stakeholders and executive sponsors

• Help clients understand their Microsoft requirements whilst positioning Eficode as their Microsoft provider of choice

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:

• Work with a Leading Atlassian Platinum Partner

• Be Part of a Growing, Global Team

• Advance Your Career

• Sell an Industry-Leading Product

• Comprehensive Benefits Package: Includes health insurance, a pension plan, and 30 days of paid vacation.

Experience Requirements:

• Minimum of 3 years of demonstrated experience in IT service management (ITSM) sales within the tech or software industry

• Proven skills in managing and nurturing sales pipelines from initiation to deal conclusion

• Proficient in CRM software, especially Salesforce, for intricate reporting and analytical tasks

Other Requirements:

• Fluency in both German and English is mandatory

• A strong selling background and a 'hunter' mentality

• Collaborative and engaging, with a track record of working effectively across various teams and with senior leadership

• Confident public speaker with the ability to facilitate or host Eficode at industry events alongside ITSM practice leads

• Exceptional communicator with a talent for translating complex concepts into clear, accessible insights for a variety of audiences

Responsibilities:

• Drive Service Management Sales: Support and champion Service Management sales throughout the full customer journey—from pre-sales engagement to post-sale follow-up—working closely with sales teams to meet or exceed targets.

• Pipeline Management & Reporting: Manage the sales pipeline using Salesforce, applying an analytical approach from lead generation to deal closure.

• Deliver accurate forecasting, detailed pipeline reports, and actionable sales performance insights for internal and external stakeholders.

• Go-To-Market Execution: Contribute to the execution of the Service Management GTM strategy in alignment with the Sales Head and the broader practice, coordinating closely with marketing and product teams to ensure consistent messaging and campaign success.

• Strategic Collaboration: Act as a key contact for Atlassian and partners like Lansweeper and Onward, sharing pipeline updates and market insights to support strategic alignment

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