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We are seeking a senior leader to drive strategic partnerships that will help make advanced and affordable autonomous driving available at scale.
Lead partnerships with automakers, mobility companies, cloud/AI platforms, and leading technology companies to commercialize next-generation autonomy for mass-market vehicles.
Responsibilities
Originate and structure strategic technology and commercial partnerships
Translate technical capabilities into practical, scalable business models for OEMs and tech partners
Lead multi-party collaborations across automotive and AI ecosystems
Work closely with product and engineering to align partnerships with roadmap
Represent the company in executive-level engagements and industry forums.

We are looking for a hands-on Senior Path Planning Algorithm Engineer to design and develop the core planning intelligence of our autonomy stack - responsible for generating safe, comfortable, and feasible driving paths in real-world environments.
This role is key to turning perception and world understanding into actionable motion, enabling robust and scalable autonomous driving for millions of vehicles.
Responsibilities:
Design and develop Path Planning algorithms for L2+ up to Eyes-Off autonomy
Build planning components such as:
path generation and refinement
constraint-aware planning (lane geometry, static/dynamic obstacles, traffic rules)
optimization-based planning and feasibility checks
Develop and improve planning modules integrated with our world model, digital twin, and edge-AI stack
Implement and optimize algorithms in C++ with real-time performance constraints
Work closely with perception, prediction, and control teams to define clean interfaces and ensure end-to-end robustness
Participate in architecture discussions, design reviews, and code reviews
Contribute to validation methodologies, scenario-based testing, and fleet-feedback loops
Analyze corner cases and improve robustness across diverse driving scenarios.

Required Senior Embedded Linux Software Engineer
Description
A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
Develop real-time computational solutions for SoCs and hardware accelerators within edge devices.
Design, develop, and maintain software across a variety of microcontroller platforms.
Execute the integration of hardware components, including but not limited to sensors and cameras, through established communication protocols.
Diagnose and resolve software and hardware malfunctions within embedded systems.
Facilitate communication through CANBus and other automotive industry standards.
Continually monitor advancements in AI and embedded systems technology.

Required Senior Autonomous Driving Software Engineer
Description
We are building next-generation Level 4 autonomous driving vehicles. As a Senior Software Engineer, you will design, develop, and integrate core infrastructure components that power our perception and planning pipelines. Your work will ensure seamless collaboration between hardware, algorithms, and platform modules - delivering production-grade software that runs in real autonomous vehicles.
Responsibilities
Design and develop infrastructure components to be used across multiple application groups.
Develop and maintain production-grade code for deployment on real vehicles.
Profile, debug, and optimize platform infrastructure modules for performance and reliability.
Integrate software components with hardware and other software modules to ensure seamless system operation.
Work closely with cross-functional teams (hardware, algorithms, and verification) to ensure system-level functionality.
Create and maintain clear technical documentation, including design specifications and system integration details.
Support thorough testing and validation in collaboration with verification engineers.

We are seeking a Senior AI Researcher Reporting to CEO .
This role is pivotal, aimed at addressing some of the AI industry's most complex challenges. Senior AI Researcher will act as a versatile 'joker card' within the R&D, stepping in to expedite projects, solve bottlenecks, and provide specialized expertise as needed. This role is designed to minimize latency and accelerate outcomes across various technical domains within the company. The ideal candidate will have strong technical expertise, excellent coding skills, and the ability to solve problems effectively.
The role doesn't include managerial responsibilities but does involve close collaboration with internal teams and the capability to inspire and guide staff. As a professional authority within our teams, the Technology Director will improve quality and speed up problem resolution. Adeptness in analyzing complex issues quickly, switching contexts when needed, and fostering a culture of growth and technical excellence is also desired.

We are seeking a Principal Software Architect to lead the end-to-end design and technical specification of our next-generation ADAS/AD software platform. You will define the architectural vision across key modules-including perception, localization, planning, and embedded platforms-while serving as the technical authority translating product goals into deliverable system specifications. As a "whole-system" expert, you will provide critical technical advisory in customer engagements and serve as the primary "go-to" for complex system-level challenges.
Responsibilities
Software Architecture Leadership:
System Design: Evolve high-level architecture for the ADAS/AD stack, including sensor ingestion, perception, localization, and planning.
Compute Partitioning: Map software components across heterogeneous resources (CPUs, GPUs, NPUs, MCUs) with a deep understanding of SW/FW-oriented execution.
Performance Optimization: Ensure architecture is optimized for multi-threaded, real-time embedded environments (Linux/QNX).
Middleware Integration: Lead the selection and integration of solutions such as DDS, ROS2, and AUTOSAR.
Technical Strategy & Advisory:
Technical Vetting: Review product and marketing requirements for feasibility; provide expert "push-back" and advise on optimal architectural alternatives.
Customer Consultation: Act as the primary technical interface in customer meetings, translating complex technical constraints into clear roadmaps.
Design Specification: Drive technical decomposition of features into architectural specifications and Interface Control Documents (ICDs).
Traceability: Ensure technical designs are aligned with ASPICE-compliant processes and safety goals.
Technical Coordination & System-Level Support:
Technical Anchor: Serve as the primary escalation point for critical system-level "Big Issues," performing root-cause analysis across the full software stack.
Cross-Domain Liaison: Bridge Software, Systems, Hardware, and Validation teams to ensure Hardware-Software Interface (HSI) alignment.
Architecture Reviews: Lead technical audits and conduct DFMEA/DFA to ensure system robustness.
Quality & Compliance:
Ensure architecture compliance with ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity).
Support SPICE Level 2+ software quality processes through rigorous design documentation.

We are looking for a hands-on Path Planning Algorithm Team Leader to own and advance the core planning intelligence of our autonomy stack - responsible for generating safe, comfortable, and feasible driving paths in real-world environments.
This role combines deep technical contribution with team leadership: you will lead the development of path planning algorithms while mentoring engineers and driving execution across the planning domain.
This position is key to transforming perception and world understanding into actionable motion, enabling robust and scalable autonomous driving for millions of vehicles.
Responsibilities:
Lead the design and development of Path Planning algorithms for L2+ up to Eyes-Off autonomy
Serve as a hands-on technical leader: contribute directly to architecture, implementation, and debugging
Build and evolve planning components such as:
path generation and refinement
constraint-aware planning (lane geometry, static/dynamic obstacles, traffic rules)
optimization-based planning and feasibility checks
Mentor and guide engineers within the planning team through technical leadership, design reviews, and code reviews
Develop and improve planning modules integrated with our world model, digital twin, and edge-AI stack
Implement and optimize algorithms in C++ under real-time performance constraints
Work closely with perception, prediction, and control teams to define clean interfaces and ensure end-to-end robustness
Drive architecture discussions, technical roadmap planning, and best engineering practices
Contribute to validation methodologies, scenario-based testing, and fleet-feedback loops
Analyze corner cases and improve robustness across diverse driving scenarios.