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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 looking for a Software Algorithm Engineer to design, implement, and maintain robust algorithmic systems in production environments.
This role focuses on high-quality software engineering combined with algorithmic thinking, working on real-world data at scale.
The position requires end-to-end ownership - from problem definition and algorithm design to production-grade software, deployment, and long-term maintenance.
The main task is to contribute to the software infrastructure that enables autonomous driving, from perception to planning.

Join the Blockchain Backend Infrastructure team and take a lead position in building and maintaining blockchain management platform. In this role, youll be responsible for building Fireblock's cutting-edge blockchain infrastructure while implementing high-throughput and real-time scalable software solutions.
What You'll Do:
Implementing modern BE applications and infrastructure in a microserices architecture, utilizing the latest technologies and development practices.
Deep diving into the latest blockchain technology, and becoming an expert in the fundamentals, protocols, and features of the blockchains.
Collaborating effectively with other developers, engineers, and other roles while showcasing independent problem-solving abilities.
Ensuring that the platform remains at the forefront of blockchain technology!

We are s looking for a Data Scientist to join our team.
The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.
Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

We are looking for a Backend Engineer to join our Data Engineering team and build backend components and data-focused infrastructure for large-scale data processing.
You will design and maintain core microservices and data pipelines that power our products and provide reliable data sources to teams across the company.
Your work will focus on customer-facing features that depend on complex data assets, with an emphasis on reliability, clear SLAs, observability, and flexibility.
What you will do:
Design and implement infrastructure for high-volume data processing
Continuously improve performance, cost, and reliability at scale
Collaborate with frontend teams on customer-facing features and applications
Work with stakeholders across the company to ensure data processes meet their requirements
Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices

We're seeking an outstanding and passionate Software Engineering to join our growing R&D team.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping our team and technology at the forefront of Fintech and AI.

If you have more front-end or back-end orientation, don't hesitate to apply.

What you'll do:

Be responsible (together with the team members) for the company`s platform, its up-time, architecture & scale.

Be part of building a high-scale and robust backend platform.

Work closely with company leadership, and iterate over core infrastructure.

Write high-quality and performant code following industry best practices and standards.

Experiment with new technologies, tools, and 3rd party frameworks. Utilize them to deliver state-of-the-art tech.

It starts with you - an engineer driven to build resilient, automated infrastructure that enables teams to move fast with confidence. You care about operational excellence, developer experience, and reliability at scale. Youll architect and operate the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems - across cloud and on-prem environments.
If you want to build infrastructure that powers mission-critical AI systems at national scale, join mission - this role is for you.
:Responsibilities
Architect and operate Kubernetes-based infrastructure across AWS and on-prem environments, ensuring high availability, security, and performance.
Design and maintain CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute and networking - building reproducible, auditable, and version-controlled infrastructure.
Own reliability and incident response - establish SLOs, build alerting systems, lead incident resolution, and drive post-incident improvements.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Build and maintain observability systems - metrics, logging, tracing, and dashboards that provide visibility into system health.
Optimize infrastructure cost and performance - right-size resources, implement auto-scaling, and identify efficiency opportunities.
Collaborate with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure with platform needs.
Shape infrastructure characteristics that support data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Contribute paved-road tooling - reusable CI/CD patterns for services, IaC modules for compute and networking, and runbooks - that streamline delivery across teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to anticipate and meet cross-functional needs.

Were on the lookup for a senior backend engineer to join our Detection group. Be a significant part of the development of infrastructure that efficiently handles, processes, and stores vast volumes of data. Architect and build scalable, high-performance backend system that enables real-time threat detection platform and find state-sponsored attacks.
: Responsibilities
Design and develop complex, large-scale backend systems that efficiently handle, process, and store high volumes of data.
Translate business and technical requirements into clear backend architecture and detailed implementation plans, with strong focus on design quality, maintainability, reliability, and performance.
Collaborate closely with cross-functional teams (Product, Data, DevOps, Security) to deliver robust backend and data-processing capabilities.
Build resilient, production-grade systems and drive modern engineering practices, leveraging cloud technologies.
Debug and resolve complex backend issues using strong analytical and problem-solving skills.
Lead processes, drive initiatives end-to-end, and contribute to a collaborative, positive team culture.

we are a rising start-up that offers a new approach to B2B payment security. Our product protects the end-to-end business payment process from all threats, internal and external, across the entire payment flow making sure payments go to the right place seamlessly in real-time with the use of AI.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader - dont miss it!
As an RPA Developer, you will develop and maintain software solutions that automate business processes and lead initiatives related to the design and management of workflow automation projects.
Responsibilities:
Design, develop, and test automation workflows with various systems
Deploy RPA components, including bots, robots, developmental tools, code repositories, and logging tools.
Collaborate with cross-functional teams to define and deliver projects that meet business needs.
Work with stakeholders to capture business requirements and translate them into technical designs and strategies.
Troubleshoot production issues.
Support the launch and implementation of RPA solutions.
Create, maintain, and support existing robots.
Design and develop user interfaces for RPA interaction.
Develop and maintain RPA framework libraries.
Produce test documentation and carry out testing of automated solutions.
Create process and end-user documentation.
Assist with quality assurance of the automation.
Drive the adoption of best practices around coding, design, quality, and performance.

We are seeking a seasoned Backend Developer with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

We are seeking a seasoned Backend Tech Lead with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

Were looking for a Computer Vision Research Scientist to join our amazing growing team where each team member makes an impact.
Responsibilities:
Conduct research and development in computer vision and image processing
Design, implement, and integrate computer vision and machine learning algorithms and prototypes and assist in the transition into products and services
Interact with and support multiple research teams ranging from research scientists to engineers to manufacturing and retail
Work between multiple business units and sub business units including managing meeting flows, presenting data, building, and maintaining relationships.
integrate the latest high impact ML and AI technologies into our process.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

As a Senior Software Engineer in R&D, you will be a key player in the design, development, and deployment of our cybersecurity platform. Your responsibilities will include:

Leading the research and implementation of techniques to identify and mitigate AI-related attack methods, such as data manipulation and adversarial attacks on security systems.
Developing and integrating new security features into our platform to proactively defend against modern cyber threats.
Collaborating with our team to define technical requirements and architectural solutions for cutting-edge security features.
Tackling challenging technical problems at the intersection of cybersecurity and low-level systems.