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We are looking for an Embedded Software Engineer for performance verification and profiling.
You will join the Virtual Platforms and Performance Verification team in the EyeQ Platform Group (EPG), working on current and next-generation ADAS/AV systems.
Virtual platforms, performance models, and profiling tools are core components of the EPG infrastructure. These tools are used during the pre-silicon phase for hardware architecture optimization and software development, and in the post-silicon phase for software performance optimization.
What will your job look like:
Performance verification of EyeQ SoC designs
Development of hardware virtual platforms
Running hardware benchmarks and correlating virtual platform results with silicon measurements
Development of tracing and profiling tools for CPU performance analysis and optimization
Close collaboration with hardware architects and software, OS, and algorithm teams.

We are looking for an experienced manager to drive the development of our cloud sensor - the industrys most efficient security tool for monitoring application-layer attacks in real time.

What youll be doing:

As the sensor group lead, you will be responsible for leading several teams of highly skilled low-level engineers. This group is responsible for developing the sensor, which is deployed in customer environments to monitor their applications in real time for detecting and blocking cyber attacks in cloud environments. You will drive the development of innovative, scalable, and high-quality capabilities in our sensor, while maintaining low overhead and high performance.

You will:

Lead the technological vision of our sensor, overseeing the full development lifecycle, including design, implementation, testing, deployment, rollout, and validation.
Take an active part in design decisions, leading the sensor architecture to maintain high performance, scale and enterprise grade quality.
Lead a group of low-level engineers, build efficient processes, provide mentorship to drive high performance, recruit strong talent, and ensure strong development velocity.
Collaborate closely with research, engineering, and customer-facing teams , turning innovative security concepts into reality.

Are you looking to be part of a deep-tech team that is shaping the future of global security? Our team does exactly that every single day.

We seek a passionate Robotics Specialist with a Maker mindset and Embedded software-oriented, to join the Embedded team.

Responsibilities - what youll be doing:

Make a major impact on our business goals and take our autonomous initiatives to the next level
Design, develop, and test the embedded software controlling the mechanical aspects of the tractors
Implement the core infrastructure of the conversations between different modules of the systems
Collaborate with multiple teams, customers, vendors, and stakeholders to ensure needs are met
Own the solutions from concept to production and provide excellent support and service to its users

We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.
Key Responsibilities
Design & Develop Core Components: Build, maintain, and optimize highly scalable, resilient distributed services, storage engines, or data-processing pipelines written in C/C++.
System Architecture & Resilience: Drive architectural discussions and implementations around high availability, data consistency, replication mechanisms, fault tolerance, and multi-node concurrency.
Performance Optimization: Optimize hot execution paths, low-level data structures, memory management, and I/O subsystems to guarantee high throughput and minimal latency.
Complex Debugging & Troubleshooting: Investigate and resolve intricate production issues spanning the application layer, distributed networking protocols, file systems, and operating system kernels.
End-to-End Ownership: Take full technical ownership of critical features-from ambiguous requirements and system design through implementation, rollout, and observability in production environments.
Teams
Storage Platform: Focuses on building a next-generation distributed storage platform handling petabytes of data across large clusters specifically designed to power AI, enterprise, and analytics workloads. Handling everything that touches the hardware and operating system aspects in a software defined storage system
Data Path: Focuses on engineering a highly distributed, latency-critical Hot I/O Data Path and Element Store engine. This role is responsible for the ingestion, state-of-the-art compression, encoding, and retrieval of multi-protocol data (files and objects) under massive concurrency and ultra-low latency requirements.
Database: Focuses deeply on core relational database internals, specifically designing low-level storage engines, B-Tree/LSM-Tree data structures, MVCC concurrency control, and query execution planners.
Kernel: Focuses on the lowest software layers, emphasizing Linux Kernel development and block-level storage/file system engineering.
Protocols: Focuses strictly on engineering high-concurrency data/metadata paths that replicate external AWS S3 object-storage behavior and correctness under heavy retry and failover pressure.
Cloud: Focuses on cloud-native storage deployment, adapting and scaling complex high-availability storage infrastructure across major hyper-scaler cloud environments (AWS, Azure, GCP).
Compute Kafka: Focuses on distributed event-streaming and messaging platforms, specifically building a high-scale, exactly-once broker compatible with the Apache Kafka wire protocol.