Woven Planet

Machine Learning Engineer

• Lead the design and development of advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning, simulation, and large-scale data analysis
• Deploy scalable and efficient ML models on our autonomous vehicle platform
• Integrate modern technologies with rigorous safety standards while maintaining cost efficiency
• Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation
• Be a champion of the scientific method and critical thinking in inventing state-of-the-art deep learning solutions
• Work in a high-velocity environment and employ agile development practices
• Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions

Senior Machine Learning Engineer, Behavior

Full-stack Engineer

• You will design and implement highly available, cost-efficient, and secure multi-cloud Kubernetes solutions and cloud services
• Develop full-stack software and Kubernetes controllers, written in Go, Python and Typescript
• Write automated tests and health checks to validate critical components
• Design modular infrastructure deployment patterns for Kubernetes configurations with common tools like Kustomize, Helm, and Terraform
• Collaborate with engineers across disciplines to define engineering requirements and deliver customer value
• Partner with and advise Site Reliability and Observability engineers to triage, troubleshoot, and mitigate production issues
• Advise manager, peers, and senior leaders across domains on Kubernetes and platform engineering best practices and architecture patterns
• Mentor junior engineers in both functional and related teams

Senior Kubernetes Software Engineer, Multicloud Runtime

Solutions Engineer

• Lead the architecture development of the integrated governance platform
• Build the software development environment and toolchain
• Identify issues from a broad perspective, extract fundamental issues, and create resolution plans
• Visualize using graphical tools and drive data-based process improvement
• Identify processes that need improvement through communication with engineers, and build consensus on improvement proposals
• Build collaborative relationships with customers and suppliers to establish a cooperative integrated governance platform

Senior Governance Solution Architect, Global Safety & Quality

• Work on high-impact projects and innovate new solutions to problems in the self-driving space.
• Work with Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving space.
• Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs.
• Build efficient data pipelines for ingestion from the vehicle fleet.
• Work on distributed systems that serve, process and transform large quantities of data in the cloud.

Software Engineer – Data Infrastructure

Human Resources

• Serve as the primary point of contact for complex and sensitive employee relations issues. Own the intake, assessment, investigation, and resolution of complex employee relations issues, including employee complaints, misconduct, performance concerns, policy violations, and sensitive workplace conflicts.
• Conduct thorough investigations into employee complaints, allegations of misconduct and workplace conflicts. Partner with global HRBPs, Legal and other stakeholders to adhere to investigative best practices.
• Provide expert consultation to HRBPs and business leaders on employee relations risks, employment law considerations, corrective action, and decision-making.
• Own the Reasonable Accommodations process and grievance procedures in the US & UK
• Drive excellence in ER documentation and case management, ensuring accurate, consistent, and defensible records across all cases; maintain clear rationales for findings, actions, and outcomes.
• Use analytics and data to identify trends, diagnose issues and make data driven recommendations to the HR & business leadership team
• Maintain up-to-date knowledge of relevant laws
• Contribute to the continuous improvement of ER frameworks, investigation tools, training, and manager resources to strengthen organizational health and trust.

Employee Relations Business Partner

• Design, develop, and maintain reusable V&V frameworks, tools, and test infrastructure (primarily in Python and C++), enabling consistent verification and validation across Arene products and environments.
• Translate product and system requirements into test strategies, test plans, and detailed test cases spanning unit, integration, system, and qualification levels, aligned with Arene V&V and test practices.
• Lead the design, rehearsal, execution, and reporting of V&V campaigns for North America–led products and features, ensuring coverage of critical paths and regression risks.
• Ensure requirements–test–results traceability in JAMA and related tools, and maintain audit-ready V&V evidence in accordance with Arene standards and QMS expectations.
• Build and improve CI/CD pipelines and automated quality gates (e.g., GitHub Actions, Jenkins) that run V&V suites, enforce coverage and quality thresholds, and gate releases based on V&V outcomes.
• Collaborate closely with Vehicle Platform, VSDK, DevKit, tools, and other Arene teams to select appropriate test environments (simulation, emulation, HIL, on-vehicle) and to debug complex failures across software and hardware boundaries.
• Write clear, structured V&V documentation, including test plans, test specifications, test reports, and contribution to team practices and SOPs.
• Mentor engineers on testability, V&V best practices, and CI-driven quality, helping teams shift testing left and build reliable, testable features from the start.
• Mentor other engineers on code best practices, architecture, and development.
• Thrive in a fast-paced, hands-on environment working closely with operating systems, compute hardware, sensors, and vehicles, while coordinating with global stakeholders across Arene.

Senior Software Engineer, Arene Applied Engineering

Systems Engineer

• Collaborate with peer systems engineers, product, and global partners to design and implement software solutions as a part of the Applied Engineering team (SDK), ensuring reliability, scalability, and high performance
• Develop, integrate, and maintain system-level software components, with a strong focus on C++ and embedded firmware for real-time automotive systems.
• Implement and enhance middleware components, inter-process communication frameworks, and scheduling systems to support hardware-agnostic, update-friendly vehicle services that bridge multiple in-vehicle domains and support rapid feature deployment
• Drive and support the development of system design specifications including state machines, sequence diagrams, and create testable system requirements, software requirements and establish traceability across all these artifacts.
• Identify, troubleshoot, and resolve complex software and system-level issues, working closely with quality and integration engineers.

System Engineer II, Arene Applied Engineering – SDK

• Partner with business leaders to plan and build a fast-growing and evolving organization. Provide leadership coaching and enable high-performing leadership teams
• Provide talent solutions that support the organization’s goals to innovate and deliver breakthrough products
• Act as a trusted advisor providing expert HR advice, guidance, and coaching while maintaining the highest level of confidentiality and integrity
• Implement and enhance annual talent planning, performance assessment, and compensation processes for your coverage organization
• Partner with HR Subject Matter experts in Compensation, Benefits, Employee Relations, Talent Management/Learning & Development, Analytics, and HR Operations, and provide fit-for-purpose solutions
• Support and rollout Talent Management and development initiatives such as Talent planning and review, mentoring and coaching programs, learning & development programs, and talent mobility programs
• Support and champion initiatives on company values and inclusion initiatives, fostering an environment where all employees feel valued and respected
• Drive employee engagement efforts through the implementation of innovative programs and initiatives that enhance morale, motivation, and productivity. Understand organizational dynamics, coach managers on people-related issues, including communication, feedback, conflict management, and performance improvement. Advise and be a part of implementing organizational design and structure changes
• Collaborate with Global HR team members, serving as a key link from your client to the rest of the organization. Collect, analyze, and leverage various types of employee data and metrics to guide programs for and measure the success of the employee experience
• Collaborate with cross-functional teams to support organizational goals and initiatives, contributing HR expertise and insights
• Provide inspirational leadership with active listening, empathy, inclusivity, and modeling company values to maximize the performance of the teams and individuals.

HR Business Partner

AI Engineer

• Design, implement, and enhance ML-based driver workload (busyness) estimation algorithms that take vehicle CAN signals, various in-vehicle sensors, and driver operation logs as time-series inputs
• Build and operate training data infrastructure and evaluation pipelines, including label and annotation policy design, data preprocessing, and feature engineering
• Investigate and improve logics that combine CAN-based workload indicators with other workload measures, such as surrounding-vehicle information and image/vision-based indicators
• Design interfaces and specifications to feed workload estimation results into driving suggestion and voice prompt logic, and continuously improve overall feature performance
• Collaborate with software engineers, test engineers, UX members, and other stakeholders to align on requirements and evaluation metrics, and to organize and share experiment results and technical learnings
• Participate, as required by projects and business needs, in planning and conducting evaluations using simulators and on-road test vehicles (including business trips), and drive improvement cycles based on real-world findings

Driver Workload Estimation AI Engineer, Info Mobility

• Support the design, implementation, and delivery of sensor calibration tools, proactively resolving deficiencies and ensuring that solutions meet objectives for reliability, quality, and business impact.
• Write high-quality code to keep stable sensor calibration pipelines.
• Collaborate with vehicle engineers and operators to ensure exceptional sensor calibration quality, which is critical for optimal vehicle deployment and the enhancement of autonomous driving performance.
• Operate within a high-velocity environment and employ rigorous agile development practices.
• Work within a hybrid workspace model, necessitating physical presence in our Ann Arbor (Michigan, US) office three days per week.

Software Engineer, Calibration

• Engage with various stakeholders to define vehicle-level system requirements
• Decompose vehicle-level requirements into software subsystems, such as Sensors, Planner, Perception, MAP, and HMI
• Manage data-driven requirements, including defining necessary data types and selecting effective data
• Design system latency based on scenario analysis
• Define product criteria, including performance and functional requirements

Senior System Engineer, AD/ADAS

Operations

• Support architecting public cloud environments including cost optimization effort for multiple engineering teams using Infrastructure-as-Code tools with industry best practices
• Work with FinOps and engineering teams to optimize their cloud usage/cost
• Design, implement, and maintain cost dashboards for all engineering teams with proper access management
• Drive FinOps cross-organization culture in Woven with Cloud & AI Business Operations Team
• Review and Improve current code base and infrastructure deployment pipeline
• Have fun!

Senior FinOps Engineer

Engineer

• Lead the team in defining requirements, designing functionality including communication specification between electronic control units for the HMI control application, software implementation and validation
• Conduct HMI evaluations using a vehicle and a driving simulator, and work with team members and related applications teams to quickly respond to specification changes
• Conduct reviews and provide advice to ensure software quality in mass-production development
• Negotiate with Toyota Motor Corporation and the other partners to establish development items, schedules, and budget
• You will come to our office 3 days per week following our hybrid work policy

ADAS HMI Engineer, Customer Application

• Survey AD/ADAS market trends and propose AD/ADAS system requirements based on the survey results
• Align and associate system requirements and tests with application requirements and tests
• Define and manage application requirements and tests, including test environment setup and script development
• Plan and manage short- to mid-term product development schedules
• Promote issue management and drive problem resolution in agile development
• Facilitate communication and alignment among stakeholders, including customers and development teams

Systems Engineer, AD/ADAS Application

Platform Engineer

• Design, implement, and operate cloud-based simulation execution pipelines and related platforms
• Integrate simulation pipelines with new and existing systems and support migration from legacy environments
• Design and maintain container image build and delivery flows, and orchestrate them in the cloud
• Build and improve CI/CD pipelines to automate the build, test, and deployment of simulation components and jobs
• Define and implement observability for pipelines and jobs (logging, metrics, tracing, dashboards, alerts) and drive incident response and post-mortems
• Collaborate with stakeholders in AD/ADAS, Simulation, and other platform teams to understand requirements and translate them into technical designs
• Create and maintain documentation, onboarding materials, and usage guidelines for internal users of cloud pipelines