דרושים » תוכנה » Senior Autonomous Driving Software Engineer

Required Senior Software Engineer - NVIDIA DRIVE Platform
Description
We are building next-generation Level 4 autonomous driving vehicles. We are looking for an experienced software engineer with hands-on experience with NVIDIA DRIVE platforms to help bring up and optimize our software system on NVIDIA DRIVE Thor.
In this role, you will work with NVIDIA DRIVEWORKS, focusing on system bring-up, resource and memory management, and designing software architectures that efficiently leverage NVIDIA hardware acceleration (GPU, DLA, and other compute resources). You will collaborate with algorithm, hardware, and verification teams to ensure reliable, high-performance software running on real autonomous vehicles
Responsibilities
Bring up and integrate software systems on NVIDIA DRIVE platforms (Xavier / Orin / Thor).
Develop and maintain platform-level software and infrastructure components.
Work with NVIDIA DRIVEWORKS SDK to support perception and system pipelines.
Manage system resources, memory, and compute utilization to ensure optimal performance.
Design software architectures that leverage GPU, DLA, and heterogeneous compute resources.
Debug, profile, and optimize system-level software for performance and reliability.
Integrate software with sensors, hardware components, and other platform modules.
Collaborate with cross-functional teams including algorithms, hardware, and verification.
Support testing, validation, and debugging on development platforms and vehicles.

our company is a global leader in hybrid control systems for our computing, a field on the verge of exponential growth.
our innovative hardware and software offer a groundbreaking approach to controlling our computers, scaling from individual qubits to arrays of thousands.
at the heart of qm is a passionate, ambitious team committed to transforming the construction and operation of our computers. our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field.
we are looking for a highly experienced a hands-on software infrastructure engineer 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.
responsibilities:
creating innovative infrastructure to help with modernizing coding, processes, and workflows.
drive adoption of ai capabilities across chip design, verification and software teams.
partner with engineering teams to deliver high-quality software infrastructure for development in a complex hardware-software system.
design and maintain multi-language code generation systems.
evaluate and integrate new technologies to enhance Developer workflows.

We are looking for an experienced Senior Software Engineer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.

We are looking for a Senior Software Engineer to join our Decision Engineering team. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.
Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.
In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.
This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.
What you'll be doing:
Design, build, and scale backend systems that power our real-time decisioning and APIs.
Own projects end-to-end - from design and implementation to production rollout and monitoring.
Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments.
Enhance observability, reliability, and developer experience through strong operational and tooling practices.
Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across our decision ecosystem.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

required Infrastructure Lead
Responsibilities
Act as a feature owner, driving the design, development, and delivery of key components in RADCOMs high-performance monitoring system.
Take technical ownership of major projects, ensuring high-quality architecture, performance, and scalability.
Design and implement efficient algorithms and data structures to optimize system functionality.
Identify system bottlenecks and implement optimizations for high-speed performance in a multi-threaded, real-time environment.
Oversee the full software development lifecycle, from architecture and design to deployment and production support.
Work closely with cross-functional teams (Product, DevOps, QA, R&D) to define technical requirements and align on project goals.
Conduct code reviews, enforce best practices, and drive technical improvements across the codebase.
Stay up-to-date with emerging technologies, evaluating their potential impact on system performance and scalability.

help build an always-on, low-overhead gpu profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ml workloads. you will be hands-on delivering our profiling solutions across system software, drivers, and cuda to make profiling continuously available and reliable.
what youll be doing:
develop low-overhead, high-reliability implementations in C / C ++, with bounded cpu/memory budgets.
lead end-to-end feature delivery spanning user-mode components, driver/platform layers, and performance counter/trace providers.
establish profiling models that integrate with existing ml/ai workflows (e.g., pytorch/xla) to turn low-level signals into actionable insights.

Required Senior Software Engineer, Filesystem
About The Position:
We are architecting a new approach to the enterprise data stack built for the age of reasoning. We set the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
We are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What you'll be doing:
The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the solution - our customers data.
As a Senior Software Engineer, youll:
Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

We are looking for an experienced Senior Software Engineer to drive the development of our high-performance client applications and the FlexID product ecosystem. This role is unique: while you will maintain and evolve our deep Windows C++ integrations, you will also take ownership of the broader FlexID server and web components that power our product across diverse environments.
Our solution is deployed both On-Premises and as a Cloud-Hosted managed service. This requires an engineer who can solve complex problems at the OS level while ensuring the entire product suite remains robust and scalable within virtualized and hosted infrastructures.
What Youll Do:
Develop and optimize Windows-based client applications using modern C++.
Work closely with Windows OS components, including Windows Registry, COM API, Windows Events, and system services.
Design and implement security-related features, integrating cryptographic protocols and authentication mechanisms.
Debug, profile, and optimize performance to ensure reliability and efficiency.
Collaborate with backend teams, security experts, and product managers to deliver secure, scalable solutions.
Stay ahead of industry trends in security, Windows development, and authentication technologies.
Cross-Stack Development: Maintain and optimize high-performance Windows client applications in modern C++ while contributing to the broader FlexID web and server ecosystem.
System-to-Cloud Integration: Build and support features that bridge legacy Windows components (Registry, COM API, Services) with modern, platform-agnostic cloud services.
Hybrid Deployment: Architect solutions that satisfy the unique constraints of both on-premises enterprise installs and scalable Cloud environments.
Security & Identity: Design and implement cryptographic protocols and authentication mechanisms (e.g., RSA, SHA, Certificates, OIDC) across the entire product suite.
Full-Lifecycle Ownership: Collaborate with backend and security teams to deliver end-to-end features, from low-level system hooks to high-level user interfaces.

Required Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team)
What Are We Looking For?
Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will design and implement low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for our next generation of data-centric security.
What will you do?
Design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
Research and evaluate technologies for building high-fidelity sensors that track data access.
Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.