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We are seeking a Senior Software Architect to lead and shape the architectural vision of our SaaS healthcare platform, guide the adoption of cutting-edge AI technologies, and ensure our solutions remain scalable, secure, and future-ready.
This is a hands-on, strategic leadership role that combines visionary system design, proof-of-concept development, and AI-first innovation enablement.
Responsibilities
1. Architectural Leadership
Define, communicate, and evolve the platforms architectural vision to ensure alignment with business goals.
Lead high-level design discussions and decisions for new and existing products.
Establish and maintain architectural principles, standards, and patterns across all engineering teams to ensure consistency and coherence.
Drive cloud-native architecture in AWS with a strong focus on scalability, availability, performance, and cost efficiency.
2. Innovation & Emerging Technology
Build POCs and pilots for new solutions, frameworks, and AI capabilities.
Evaluate emerging trends in AI, LLMs, MCPs, agents, and developer productivity tools, ensuring strategic adoption where relevant.
Initiate projects/features to solve widespread problems (including work with Support, DevOps, Infosec)
3. AI Tooling Evangelism
Spearhead engineering-wide adoption of AI-assisted development workflows, including developer productivity tools, code copilots, automated quality checks, and automated documentation.
Define best practices, guidelines, and governance for AI usage in development (e.g., Cursor configuration rules, prompt engineering standards).
Educate and mentor teams on effective AI utilization for engineering, product, and operational tasks, taking into account security, costs, and compliance.
4. Technical Governance & Best Practices
Overall ownership of the system scalability, COGS, and stability of the product(s)
Define standards for coding, testing, CI/CD, and monitoring.
Enforce architectural and design reviews for key initiatives.
5. Cross-functional Collaboration
Work closely with Engineering, Product, Data Science, DevOps, and Security teams to deliver well-architected solutions.
Communicate complex technical concepts to non-technical audiences, including executives and external partners.
Collaborate with customers and partners when needed to align architecture with integration requirements.

We are seeking a talented QA Engineer to help ensure top product quality in our rapidly growing company. You will be focused on testing our core product, conducting end-to-end testing across various technologies, along with our proprietary AR and AI solutions.

Responsibilities:

Develop comprehensive test plans and test cases focused on both backend and frontend features to ensure product quality across the stack.

Take primary responsibility for querying data, testing backend and frontend data changes, and ensuring data integrity, performance, and UI functionality.

Lead efforts to identify, document, and troubleshoot errors in both backend and frontend areas, providing detailed analysis and potential solutions.

Collaborate closely with Development, Product, and other teams to clarify specifications, address issues/concerns, and identify risks throughout the software development life cycle, ensuring alignment across backend and frontend requirements and dependencies.

Actively contribute to a scrum team, working with developers, DevOps, and Product teams to ensure comprehensive testing coverage.

Lead the QA effort in sprint planning and retrospectives, providing insights into backend and frontend testing considerations.

Develop, apply, and maintain manual and automation scripts for both backend and frontend testing of new and existing products, with a focus on enhancing full-stack test automation.

Continuously update and refine testing methodologies, tools, and processes to improve testing effectiveness across backend and frontend technologies and practices.

Familiarity and practical experience using AI tools for testing.

Required VP, Head of Robotaxi R&D and Operations
Description
We are building the worlds first affordable Robotaxi platform a fusion of ultra-efficient Agentic AI, cloud-defined autonomy, and mass-market scalability. We are now seeking a VP, Head of Robotaxi R&D and Operations, a leader who can orchestrate the full symphony: system design, fleet operations, technology partnerships, and large-scale deployment.
This executive will own the end-to-end development, validation, and operationalization of our Robotaxi systems. They will lead multidisciplinary engineering teams, shape the system architecture, establish fleet operations across multiple geographies, and cultivate strategic partnerships needed to bring an affordable Level 4 solution to market.
This role is equal parts architect, hands-on operator, and professional manager guiding a frontier technology from invention to urban streets.
Join a company redefining autonomy for the real world. Our affordable Robotaxi program combines breakthrough AI with an obsession for practicality enabling safe, scalable, and globally deployable autonomy, at a fraction of traditional cost.
You will lead the team that brings this vision to life.
Responsibilities
1. Robotaxi System Development
System R&D, software development, and communication of the full Robotaxi stack including perception, prediction, planning, control, redundancy, functional safety, fleet intelligence, and cloudedge coordination.
Own the system architecture built on our Agentic AI, Air2Road localization, and Cloud-Defined Vehicle (CDV) principles ensuring a scalable, affordable, and globally deployable L4 platform.
Translate Level-4 autonomy goals into precise engineering requirements, development milestones, safety cases, and validation frameworks, covering both on-vehicle and cloud-driven intelligence.
Oversee cross-company and cross-domain integration, including edge compute, cloud orchestration, vehicle platform integration, remote operations, and continuous learning pipelines.
2. Fleet Operations & Deployment
Build and manage Robotaxi pilot fleets in multiple cities; define operational playbooks, KPIs, maintenance cycles, and driverless operations processes.
Establish real-time fleet monitoring and performance dashboards using digital-twin and simulation during driving capabilities.
Coordinate with local regulators, municipalities, and partners to ensure safe and compliant deployment.
Drive continuous improvement loops from real-world data back into the R&D roadmap.
3. Partnerships & Ecosystem Leadership
Lead technical and operational engagements with OEMs, mobility operators, cloud providers, Tier 1s, and city partners.
Manage integration with partner hardware (compute, sensors, connectivity) and cloud infrastructure.
Represent our Robotaxi vision in strategic, commercial, and regulatory forums.
4. Organizational Leadership
Build and mentor world-class engineering, operations, and program teams.
Create culture of technical excellence, accountability, and rapid iteration.
Collaborate closely with the CADO, CEO, and cross-functional leaders to align on roadmap, funding, and global expansion.

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.

Were looking for a Product Manager to lead our product portfolio embedded within the Salesforce ecosystem, including integrations across Agent force and Service Cloud. This role bridges our Visual Agentic AI platform with Salesforces world-class CRM environmenthelping service organizations deliver smarter, more human, and more visual experiences directly within their daily workflows.

Youll be responsible for understanding how enterprises use Salesforce to run customer service and field operations, and for shaping how our products integrate, extend, and elevate those experiences.

Youll partner closely with Salesforce teams and our R&D, and ensure our products are built for adoption, scale, and measurable impact.

Responsibilities:

Execute the Salesforce Product Roadmap: Translate our platform strategy into clear goals for Salesforce-native and integrated solutions, aligning to both our customers needs and Salesforces roadmap.

Understand the Ecosystem: Deeply understand Salesforce (Service Cloud, Field Service, Agentforce, Einstein, and AppExchange) and identify how we can extend value within those environments.

Drive Product Execution: Collaborate with UX and Engineering to design and deliver embedded experiences that feel native within Salesforceensuring reliability, usability, and performance.

Partner Cross-Functionally: Work with our alliances, GTM, and customer success teams, as well as Salesforce product and partnership stakeholders, to drive successful launches and adoption.

Enable the Business: Support field enablement and pre-sales with demos, value narratives, and product documentation that highlight how our augments Salesforce workflows.

Measure and Learn: Define success metrics (adoption, CSAT, activation, ROI) and continuously optimize the Salesforce product experience based on usage and feedback.

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.