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We are looking for a hands-on technical leader to own and advance the Planning & Control domain the core of our driving intelligence responsible for decision-making, behavior, motion planning, and safe vehicle control. This role is central to our affordable autonomous driving stack, connecting perception, agentic reasoning, and real-time execution.
Why us? You will lead the domain that transforms perception into action building the brain that makes autonomous driving smooth, safe, and scalable for millions of vehicles.
Responsibilities
Lead the design and development of Planning & Control algorithms for L2+ up to Eyes-Off autonomy
Build and mentor a top-performing engineering team (planning, control, robotics, embedded)
Develop motion planning, trajectory optimization, and behavior layers integrated with our digital twin and edge-AI stack
Own robustness, performance, and safety across the decision pipeline
Define clean interfaces between perception, prediction, world model, and actuation modules
Drive hands-on development, architecture, and code reviews
Work with system engineering, product, fleet, and OEM/Tier-1 integration teams
Establish validation methodologies, scenario-based testing, and fleet-feedback loops.

We are seeking a dynamic and technically proficient Software Architect cum Requirements Manager to lead the end-to-end design and specification of the ADAS/AD software stack for our next-generation intelligent driving platform. This role involves dual responsibility: defining architectural vision across key modules (e.g., perception, localization, planning, embedded platform) and owning the end-to-end requirements lifecycle.
Responsibilities
Software Architecture Leadership
Define and evolve the high-level software architecture for the ADAS/AD stack, including sensor data ingestion, perception, localization, prediction, planning, and embedded systems.
Proven experience as an architect (functional, system, and E/E) in automotive applications
Contribution to Software functional designs with programming abilities, such as C++, Python, and ML
Partition software components across heterogeneous compute resources (CPUs, GPUs, NPUs, MCUs).
Ensure alignment with industry standards such as AUTOSAR, POSIX, ISO 26262, and cybersecurity regulations.
Requirements Engineering
Own software requirements lifecycle from elicitation to validation.
Work with stakeholders to gather, derive, trace, and decompose requirements using tools like Confluence, Codebeamer, or Polarion.
Ensure requirements are aligned with ASPICE-compliant development processes.
Technical Coordination and Leadership
Act as liaison between software, systems, hardware, and validation teams
Guide architectural trade-offs in multi-threaded, real-time, embedded systems.
Support integration and evaluation of third-party modules.
Quality & Compliance
Ensure compliance with ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity).
Drive software architecture reviews, audits, and conduct technical DFMEA/DFA.
Support SPICE Level 2+ software quality processes.

Your number one vendor of autonomous driving software, is looking for a die-hard Simulation Engineer ready to take on a Manhattan-scale project under a tight schedule. If you're passionate about high-impact simulation infrastructure and thrive in fast-paced, innovative environments, we want to talk to you.
Responsibilities
Design and build scalable simulation infrastructure for testing autonomous driving systems
Collaborate closely with algorithm teams to create realistic and efficient simulation environments
Lead architectural decisions and own the design of core components
Tackle complex backend and cloud-native challenges from day one
Implement a CI/CD infrastructure to support slick and efficient versioning of all stack submodules from different AB teams
Integrate an external closed-loops simulation solution with our autonomous driving stack, work closely with external vendors.
Coordinate between Algo SW and Infra teams to provide fast scalable and consistent solutions.

Required Senior Deep Learning Algorithm Researcher - Air2Road Localization
Description
Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

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 an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.
In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.
Responsibilities
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation
Build efficient services to manage and provision large quantities of visual and other types of data
Design, develop, and implement robust cloud and on-prem services
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

Requied Deep Learning Algorithm Developer - ADAS group
Description
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations.

You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.

Key Responsibilities:

MCP Development & Implementation:
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities

Architecture & Design:
Architect scalable MCP solutions that handle high-volume data access patterns.
Design efficient protocol implementations that minimize latency and maximize throughput.
Create reusable MCP components and libraries for internal and external use.
Establish best practices for MCP server development and deployment.

Integration & Collaboration:
Integrate to our identity platform.
Work with DevOps teams to deploy and monitor MCP services in production environments.
Partner with security teams to ensure MCP implementations meet. compliance and security requirements.
Integrate MCP solutions with existing infrastructure and third-party services.

Quality & Performance:
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests.
Monitor and optimize MCP server performance and resource utilization.
Debug complex issues in distributed MCP environments.
Maintain detailed documentation for MCP servers and integration patterns.

Contribute to Open Source:
Engage with the open-source community, contributing to the development and improvement of MCP.

We are looking for a Exceptional Software Engineer who will help us with our mission to ease Authentication burden for every developer out there

You should be able to build high-quality, innovative and fully performing software in compliance with coding standards and technical design.

The position will have significant more Frontend work than Backend.

We are looking for an outstanding Developer to be responsible for shipping new web components that developers can deploy to their apps with out no-code Authentication solution.

We also expect you to be passionate about building software and perform well working in a team, along with developers, engineers and web designers.

You can also do Backend work, but focus will be in Frontend and web components.

Web Developer responsibilities are:
Produce well designed, testable, efficient code by using best software development practices

Build and maintain web components dedicated to our no-code platform

Contribute to technological and architectural decisions

Conduct design and code reviews

Work with TypeScript, React, and CSS.

A leading start up in Identity, Authorization & Security is seeking a senior backend developer to join our growing team to improve the end-to-end product features and align the R&D solution to the company's business needs and overcome new technology challenges. Our solution is based on Java, Go, and React, moving to SaaS with multi-tenancy based on microservices architecture. We are working in Agile with TDD/BDD and extreme programming processes to complete the end-to-end lifecycle of CI/CD. We're looking for you, to develop the next generation of our leading security product.
Here we put our people first. We strongly believe in teamwork and encourage and trust our people to reach higher, learn more, and live up to their potential.
Java and GO Guru with coding hands-on ability
Set and meet the performances by KPIs
Establish a high scale multi-tenancy cloud foundation solution
Working with cutting-edge technologies in a dynamic environment, where you can learn and mentor your team members
Collaborate with Product Managers, Frontend and Backend Developers, and QA Engineers.

A leading start up in Identity, Authorization & Security, is seeking a frontend engineer to join our growing team to improve the end-to-end product features and align the R&D solution to the company's business needs and overcome new technology challenges. Our solution is based on Java, Go, and React, moving to SaaS with multi-tenancy based on microservices architecture. We are working in Agile with TDD/BDD and extreme programming processes to complete the end-to-end lifecycle of CI/CD. We're looking for you, to develop the next generation of our leading security product.
Here we put our people first. We strongly believe in teamwork and encourage and trust our people to reach higher, learn more, and live up to their potential.
What will you do?
React with coding hands-on ability
Some backend development (small part of this role consists of writing backend - Java,GO)
Set and meet the performances by KPIs
Establish a large-scale multi-tenancy cloud foundation solution
Work with cutting-edge technologies in a dynamic environment, where you can learn and mentor your team members
Collaborate with Product Managers, Backend Developers, and QA Engineers.

Were looking for an experienced Technical Program Manager to establish and lead our newly formed Engineering & Product Operations team - driving higher quality, stronger reliability, and smoother cross-team delivery & coordination.
In this role, youll own cross-functional programs, drive operational excellence, and lead initiatives that enhance our development processes and product quality.
This is a high-impact, visible role that combines technical understanding, program management, and people leadership - ideal for someone who thrives in dynamic, cross-functional environments.
Here are a few of the things you will do:
Drive Strategic Programs
Lead and coordinate high-impact engineering and product initiatives that improve scalability, reliability, and execution.
Manage programs that involve multiple teams, time zones, and functions to keep everyone aligned and accountable.
Build and Lead the Engineering Operations Team
Build and manage a small team focused on engineering and product operations.
Oversee work related to release management, quality standards, support ticket processes, and communication across departments.
Streamline and Automate Operational Processes
Design and improve workflows for release readiness, bug triage, incident response, and postmortems.
Utilize tools like Zapier, Make, and n8n to automate manual tasks, enhance visibility, and expedite decision-making.
Lead Incident Management and Culture of Quality
Own and improve how we handle incidents across engineering, product, and support.
Ensure that issues are resolved promptly, stakeholders are kept informed, and the member experience is consistently reflected in every retrospective.
Improve Engineering Effectiveness and Product Quality
Develop metrics and tools that enable teams to measure and improve performance in quality, delivery, and reliability.
Monitor key indicators such as bug age, SLA follow-through, and release stability.
Foster a culture of learning and quality by transforming challenges into improvements and data into actionable insights.
Connect and Align Cross-Functional Teams
Collaborate closely with Engineering, Product, Support, and Education teams to ensure issues are effectively surfaced, tracked, resolved, and communicated.
Clarify priorities and timelines, align expectations, and ensure everyone stays on the same page from discovery to resolution..