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We are looking for a Core Database Developer (Database Internals) to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization at the center of the revolution in artificial intelligence, which is creating a hurricane of change.
We are looking for a talented Software Engineer to design, build, and optimize the core engine of our high-performance database system. This is a deep, systems-level role focused on the internal workings of a database. You will be responsible for creating the fundamental components that store, retrieve, and process data efficiently.
Requirements
Key Responsibilities
Design & Develop Database Components: Implement and enhance core database features, including the storage engine, query execution engine, and transaction manager.
Optimize Performance: Work on low-level data structures (like B-Trees or LSM-Trees), concurrency control mechanisms (MVCC), and query optimization algorithms to improve speed and efficiency.
Build the Query Engine: Develop the system that parses, plans, and executes user queries against our data structures.
Ensure Reliability: Implement mechanisms for data recovery, consistency, and durability.

Required Customer Support Engineer
Requirements
As a Technical Support, you will be regarded as a product expert and, as such, you will be involved in daily technical operations and escalations. The main responsibilities include performing customer installations and technical evaluations, developing and testing and solutions in strategically and tactically significant applications and use cases, including File protocols, Machine learning, Object Storage, and high-performance computing, at customer sites and in the lab. You will consult on pre-sales and technical sales activities and will work on escalated technical support issues to resolution, interfacing with the customer and the development team.

seeking an Embedded C / C ++ Engineer to join the core Embedded development team. Join the development of an advanced satellite communications ground terminal / gateway platform. The system bridges internet infrastructure with satellite antenna systems and is based on the NXP Layerscape LS1046A processor running Linux. This role focuses on low-level user-space development in C / C ++, building drivers and infrastructure for board-level peripherals and remote devices within a complex Embedded environment. Responsibilities:
* Develop low-level C / C ++ code in Linux user-space
* Build drivers, libraries, and support infrastructure for peripherals and connected devices (SPI, I2C, GPIO, etc.)
* Troubleshoot hardware/software integration issues
* Improve system performance, robustness, and stability
* Design clean and maintainable APIs for the application layer
* Collaborate closely with hardware, firmware, and application software teams

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.

we are redefining cyber risk for SMBs with a cutting-edge Security SaaS product. Were looking for a Software Engineer to join our growing team and help us scale to the next level.

This is a hands-on role where youll collaborate with product managers, data teams, architects, and fellow engineers to deliver innovative, high-impact solutions in a modern, cloud-native environment.

Responsibilities
Design and implement robust, high-throughput event-driven services and complex features in a cloud-based, microservices environment.
Own features end-to-end, from architectural design and estimation through deployment and continuous improvement.
Collaborate closely with cross-functional teams (Product, Data, Core Architecture) to ship high-quality solutions quickly.
Partner with the Product team to convert ambiguous requirements into concrete, well-defined technical specifications.
Maintain high standards of code quality, proactively troubleshoot issues, and ensure smooth operation of new and existing systems.
Provide technical leadership and mentorship, driving code quality standards and contributing to the teams roadmap.
Implement advanced monitoring, distributed tracing, and alerting for system health and incident response.

Required 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 a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Enginee, youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.
This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.
Responsibilities:
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards

We are looking for an experienced Senior Mobile Engineer to join our R&D team in developing our next-generation B2C application in terms of technology and UI/UX.
As a Senior Mobile Engineer, you will learn the ins and outs of the technology and are expected to constantly improve our working practices and code base.
Our ideal candidate will join our team, which develops and constantly deploys multi-platform apps for iOS and Android using Google's new Flutter development framework, which was just announced by GitHub as the "Fastest-growing language".
This is a great opportunity to join the core team of a growing, successful startup and work with the most advanced technologies.
Responsibilities:
Implement and own cross-platform features; be involved and impact the entire application lifecycle (concept, design, test, release, and production support)
Collaborate with team members on technological and architectural topics
Acquire an in-depth understanding of our technical challenges and strive to improve them
Follow engineering best practices (unit testing, automation, code reviews, etc.) and keep up to date with the latest trends and technologies of flutter and app design
Work with product managers, designers, and other developers to understand the desired application requirements and provide your feedback to improve the outcome of the feature

We are seeking an LLM Engineer to join our innovative team and contribute to the advancement of our security copilot. As an integral member of our growing team, you will play a key role in enhancing our security automation capabilities.
What youll do:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Design and develop robust REST APIs that seamlessly integrate AI model functionalities within our core product offerings.
Collaborate with R&D and product teams to optimize AI model performance and integration within our workflow automation platform.
Explore and implement novel applications of AI to enhance automation capabilities and user experience.

We are looking for an experienced individual to join a team that is responsible for developing our cutting-edge collection, prevention and protection technologies using both documented and undocumented proprietary kernel mode techniques.
The tam develops the core kernel technologies for a wide variety of products, from EDR to next-gen AV, including work that encompasses many aspects of kernel development, from infrastructure through filter drivers to function hooking, to name a few.
In this position you will:
Write kernel software that can reach the depths of the operating system.
Implement novel collection and protection techniques.
Write robust driver infrastructure.
Optimize for extreme performance constraints.
Research uncharted territories of the Windows kernel, drivers, APIs, and internal mechanisms.

we aren't building a single, generic chatbot. We are building a Composable AI Microservice Architecture, a swarm of hundreds of hyper-specialized AI services, each meticulously "programmed" to solve small, focused tasks with high precision. This fleet powers Ava, our AI support engine, and a suite of cutting-edge generative tools for travel and expense management.
As a Senior AI Ops / MLOps Engineer, you are the architect of the platform that makes this scale possible. You will move beyond traditional MLOps to manage a "factory" of Language Models. Your challenge is one of orchestration and standardization, ensuring that every service in the swarm meets a rigorous bar for quality, reliability, and cost-efficiency.
What You'll Do:
Orchestrate the AI Fleet: Build and own the runtime environment for 100+ specialized AI services. Manage model routing, context versioning, and standardized memory/history stores.
High-Density Inference Optimization: Design and implement SageMaker Multi-Model Endpoints (MME) and Inference Components to serve multiple tuned SLMs per GPU, maximizing hardware utilization while minimizing latency.
Deterministic Service Excellence: Treat reliability as a layered engineering problem. Build deterministic "shells" around probabilistic LM outputs, prioritizing data-layer validation and strict serialization.
Automated Evaluation & Observability: Implement "LLM-as-a-judge" patterns and automated benchmarking to detect semantic drift and hallucinations across the fleet before they impact the user.
Standardize the Workflow: Obsess over building reusable patterns and Terraform-based infrastructure that eliminate "snowflake" configurations, allowing us to deploy new specialized AI tasks in minutes.
Agency Strategy: Partner with AI Researchers to find the "Goldilocks zone" for agentic autonomy-balancing the flexibility of LLM tool-use with the precision required for production stability.