דרושים » תוכנה » software engineer - Real-Time Systems

a global leader in advanced human-guided autonomous drone systems, is looking for an Embedded Team Lead to join our R&D organization and lead the development of the firmware and low-level software that power our real-time autonomous and mission-critical systems used by defense and security forces worldwide.

In this role, you will combine hands-on technical leadership with people management, guiding a team of embedded engineers while actively contributing to the design, implementation, and bring-up of firmware for our airborne platforms and payloads. You will own the embedded layer end-to-end - from microcontroller firmware and low-level drivers, through hardware/software integration, to production support and field-deployed systems.

This is a unique opportunity to lead development at the point where software meets hardware, in systems that operate in the most demanding real-world environments.

Responsibilities:

Lead and mentor a team of embedded software engineers, fostering ownership, accountability, and technical excellence
Take full ownership of embedded delivery, from architecture and board bring-up through serial production and field deployment
Act as a hands-on contributor to embedded C development for real-time, resource-constrained, mission-critical platforms
Drive hardware/software integration together with electrical, mechanical, and systems teams - from prototype through production
Ensure reliability, deterministic real-time behavior, and efficient resource utilization of firmware running on fielded systems
Conduct code and design reviews, enforce best practices, and maintain high development, testing, and documentation standards
Manage sprint planning, task prioritization, technical roadmap alignment, and delivery timelines within an Agile framework
Support recruitment, onboarding, and professional development of embedded engineers

This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing.
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.

We are looking for a highly skilled and motivated Embedded Software Team Lead to drive our development efforts from the trenches. You will lead a team of talented engineers, combining strong technical leadership with deep hands-on involvement. In this role, you will be responsible for the architecture, design, and implementation of complex embedded software, while mentoring team members and ensuring high code quality. This is a "player-coach" role for someone who loves to solve hard technical problems and thrives on developing people.
Responsibilities:
Leadership & Mentoring
Lead and mentor a team of embedded software engineers, setting day-to-day priorities and fostering a high-performance culture
Provide technical guidance, perform code reviews, and act as the go-to person for complex technical challenges
Facilitate team collaboration and ensure clear communication across the R&D organization
Foster a culture of excellence, accountability, and continuous learning
Technical Ownership (Hands-on)
Remain deeply involved in hands-on design, architecture, and coding (approx. 50% coding/design work)
Design and implement robust embedded software for real-time systems, focusing on performance, scalability, and safety
Ensure best practices in coding standards, unit testing, and CI/CD integration
Collaborate with hardware and systems engineers to ensure seamless integration between software and hardware components (SoCs, MCUs, sensors, etc.)
Execution & Delivery
Own the delivery of specific embedded modules, from design to production
Translate product requirements into actionable technical tasks and roadmaps
Drive engineering processes to increase efficiency and code quality
Work closely with customers and Tier-1 partners on technical requirements, escalations, and delivery commitments
Stay updated with industry trends in embedded systems and automotive tech to continuously improve our stack

The Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (HPC) clusters across the world. We are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.

What you'll be doing:
Design & Implement: Architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
Performance Optimization: Drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and real-time monitoring without latency.
System Diagnostics: Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
Collaborative Problem Solving: Partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
Autonomous Execution: Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.

We are looking for a Senior Fullstack Engineer with a strong backend orientation to join the development of our scalable, AI-powered product systems.
What You'll Do:
Join a role that combines deep backend expertise with solid frontend fluency and product thinking, along with the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant systems and intuitive user experiences, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence the experience of end users.
What does the day to day of a Senior Fullstack Engineer look like:
Your daily work will span backend architecture, frontend collaboration, and AI-augmented development, engaging directly with the systems that power our product.
Your role will include:
Design and build scalable, maintainable backend services using NestJS (Node.js/TypeScript) and/or Python
Own API design, contracts, and versioning across services
Design and optimize data models, database schemas, and query performance
Implement authentication, authorization, and secure API integration patterns
Build reliable data-fetching layers, caching strategies, and async processing (queues, jobs, events)
Lead backend technical decisions, code quality standards, and system architecture
Ensure system scalability, fault tolerance, and observability (logging, monitoring, alerting)
Contribute to CI/CD pipelines and deployment practices for backend services
Collaborate on frontend applications built with React, TypeScript, and Vite, and contribute to API contracts from the consumer's perspective
Partner with frontend engineers to align on data shapes, performance, and UX constraints
Translate product requirements into robust, scalable technical solutions, working closely with product and design
Conduct high-quality code reviews and drive architectural discussions and best practices
Improve testing, observability, CI/CD, and system reliability across the team
Use AI coding tools effectively in daily development work (Cursor, Copilot, Claude, ChatGPT, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity
Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation

We're looking for a Software Engineer to join our R&D team. In this role, you'll design and build scalable, high-performance systems that bring together rich backend capabilities and intuitive frontend experiences. You'll be part of a mission-driven team, building innovative technologies that enable security teams to detect, analyze, and respond to threats faster than ever before.


WHAT YOU WILL DO
Develop and own end-to-end features across the entire stack, from backend services to frontend interfaces.
Design and implement distributed backend systems that handle massive volumes of security data in real-time.
Build modern, responsive, and accessible user interfaces using React, TypeScript, Remix, Tailwind, and Shadcn.
Architect and maintain robust APIs and data contracts between the frontend and backend.
Collaborate with product, design, and security experts to deliver impactful user facing features.
Ensure high code quality by writing comprehensive unit, integration, and E2E tests using tools like Vitest, Playwright, and React Testing Library, as well as backend testing tools
Optimize system performance, reliability, and scalability on both ends of the stack.
Take part in critical architectural discussions and influence the technical direction of the platform.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

We are looking for a Senior Fullstack Engineer with a strong backend orientation (80%) to join the development of our scalable, AI-powered product systems.
What You'll Do:
Join a role that combines deep backend expertise with solid frontend fluency and product thinking, along with the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant systems and intuitive user experiences, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence the experience of end users.
What does the day to day of a Senior Fullstack Engineer look like:
Your daily work will span backend architecture, frontend collaboration, and AI-augmented development, engaging directly with the systems that power our product.
Your role will include:
Design and build scalable, maintainable backend services using NestJS (Node.js/TypeScript) and/or Python
Own API design, contracts, and versioning across services
Design and optimize data models, database schemas, and query performance
Implement authentication, authorization, and secure API integration patterns
Build reliable data-fetching layers, caching strategies, and async processing (queues, jobs, events)
Lead backend technical decisions, code quality standards, and system architecture
Ensure system scalability, fault tolerance, and observability (logging, monitoring, alerting)
Contribute to CI/CD pipelines and deployment practices for backend services
Collaborate on frontend applications built with React, TypeScript, and Vite, and contribute to API contracts from the consumer's perspective
Partner with frontend engineers to align on data shapes, performance, and UX constraints
Translate product requirements into robust, scalable technical solutions, working closely with product and design
Conduct high-quality code reviews and drive architectural discussions and best practices
Improve testing, observability, CI/CD, and system reliability across the team
Use AI coding tools effectively in daily development work (Cursor, Copilot, Claude, ChatGPT, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity
Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation

The PerfTech team is looking for an outstanding Senior C++ Software Engineer to build the next generation of AI-powered developer tools. You will apply deep expertise in modern C++, systems architecture, performance, and debugging to extend our developer-tools ecosystem into the emerging world of agentic software. In this role, you will help develop Genie, our company-wide AI knowledge and developer-productivity service. You will build production-quality C++ components and integrations while contributing to agentic workflows and retrieval systems that help engineers find information, understand complex systems, and work more effectively.

What Youll Be Doing:
Architect and develop production-quality C++ components, APIs, and integrations for NVIDIAs AI-powered developer-tools ecosystem.
Build reliable, performance-sensitive systems connecting native C++ tools with Genies retrieval and agentic capabilities.
Design maintainable interfaces between C++ applications and AI services exposed through Python, MCP, REST APIs, and structured tool calling.
Contribute to agentic workflows, retrieval systems, ingestion pipelines, evaluation infrastructure, and enterprise integrations.
Drive technical initiatives from early exploration through production deployment, working closely with multidisciplinary engineering teams.
Mentor engineers and help establish best practices for production-quality AI-powered systems.

We are looking for a highly experienced Quantum Control Systems Engineer (Application Validation Team) who embodies ambition and positivity. Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
As a Quantum Control Systems Engineer on the Application Validation Team, you will be responsible for validating the software and hardware systems that drive quantum computing operations, ensuring that programs ranging from calibrations to error correction procedures perform as expected on all our quantum controller hardware. This includes designing, implementing, and testing scalable software and hardware frameworks across various qubit types, as well as developing tools that support the validation and execution of control software across different configurations and execution platforms.
Your role will also involve developing a robust software infrastructure that automates the validation process, integrates with real hardware systems, and supports continuous integration (CI) and continuous deployment (CD) pipelines.
This is an exciting opportunity to work at the forefront of quantum computing technology while ensuring the performance, reliability, and scalability of cutting-edge control systems.
Join us in this exciting journey to redefine the future of quantum computing.
Responsibilities:
Quantum Computing Routine Validation: Validate quantum computing programs on our quantum controllers, including calibration procedures, error correction routines, and other algorithms, ensuring they meet the required performance standards.
Scalable Routine Design: Design and implement scalable quantum routines in Qua and other quantum computing languages, optimizing various qubit types and quantum computing architectures.
Framework Development: Develop tools and frameworks that support validation, ensuring scalability and integration into our hardware and software development process.
Automated Testing and CI/CD Integration: Build and maintain automated testing systems, incorporating CI/CD processes to ensure seamless integration and validation of quantum control software on real hardware.
Data Analysis: Analyze measurement data from quantum controllers, using this data to improve implementations across the whole software stack.
Cross-Functional Collaboration: Work closely with quantum physicists, customers software engineers, and hardware engineers to troubleshoot issues, refine quantum routines, and ensure the overall system's performance.