דרושים » תוכנה » Experienced C++ Software Developer

The company's Autonomous Vehicle Simulator (AVSimulator) is a closed-loop simulator that include all of the required components for an autonomous drive: Map services, policy logic, control algorithm, dynamic model, and sensing. The AVSimulator is useful for developing, debugging, and validation of the entire system, and it's daily used across our company. Additionally, the AVSimulator's core serves as a product by itself, and multiple customers build their simulations around it. A full set of tools have been created on top of the AVSimulator, including a scoring algorithm, a Monte-Carlo framework, drive reports, etc.
What will your job look like:
Maintenance of the AVSimulator (address bugs and issues, for both internal and external customers)
Development of the AVSimulator (add new features, improve the design, literature review as needed, etc.)
Integrate new technologies (apps) into the AVSimulator
Discussions with customers regarding the design of a co-simulation framework
Release a new version of the AVSimulator as needed
Development and automation of the surrounding tools
Parallelization and automation of the AVSimulator.

our company's AV Group is looking for an Integration and CI Engineer to help shape the future of autonomous driving. Join our dynamic team of talented engineers responsible for delivering cutting-edge Autonomous Vehicle (AV) applications, advanced control systems, and simulation environments that drive our companys groundbreaking L2+ to L4 autonomous platforms.
What will your job look like?
Manage version releases and ensure timely delivery of AV products to stakeholders
Utilize Git and GitLab for version control to manage and track changes in the software development lifecycle
Collaborate with developers to integrate software components into a cohesive whole
Analyze source code and test scenarios to identify, prioritize, and resolve integration issues
Debug issues in the production platforms, which may involve multiple domains
Build robust CI solutions utilizing Git, GitLab, Python, Shell scripting, Jenkins, and Docker
Develop and maintain scripts and pipelines for diverse development and validation teams
Contribute to the enhancement and development of our AV infrastructure and core code.

Which department will you join?
You will be part of the Product Validation department, which is responsible for delivering high-quality AV (Autonomous Vehicles Systems) products. We are the first line of support for our company's customers around the globe.
As an Automation and BI Engineer, you will interact with most of our company's departments to develop state-of-the-art automation suites based on a thorough understanding of product behavior.
What will your job look like:
You will be working on a variety of aspects of the autonomous vehicle, on the junction between software and hardware.
You will be developing, integrating and executing automated tests for the autonomous vehicle.
You will work in a multi-tasked, dynamic and diversified environment.
You will have actual responsibility and impact on the autonomous vehicle.
You will use a variety of BI platforms to develop dashboards and build internal tools
You will contribute to building AI-based analysis that will improve the team efficiency.

Which department will you join?
The Infra development team is a part of Software Algorithm (SW Algo) Department at our company responsible for the software infrastructure and development algo utilities for autonomous driving algorithm code running on our company's platform. As part of the end-to-end autonomous vehicle flows, we get to see our code running in the most advanced algorithms and use cases, which are developed by our team and algorithm groups. The development environment is mostly based on C/C++ programming within computer vision domains.
As a Senior C++ Developer in the SW@Algo Department, you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Leading the development of high-performance applications using C++ and optimizing the existing codebase for efficiency and scalability
Collaborating with multiple departments in our company to acquire broad insights into algorithmic and technical details, ensuring seamless integration with the overall system
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements
Working closely with external algo teams and various departments in our company for requirement gathering and the correct integration of new features
Engaging with different environments in our company's software stack, including backend and middleware, to ensure the smooth operation of the software infrastructure
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry
Exposure to advanced algorithms and use cases, showcasing your expertise to a wide audience
Collaboration with a talented and passionate team of developers, algorithm engineers, and other professionals.

our company, a world leader in driver assistant systems and autonomous vehicles, is looking for talented silicon validation engineer for the range of its next generation SoCs supporting its radar systems.
Our team is responsible for validating our company's radar SoCs, utilizing Pre-Silicon environments, as well as Post-Silicon platforms.
We are developing fully embedded C++ based validation environment for our needs.
You will be taking part in developing anything from environment and drivers through system modules such as file system, network stack, memory management and more, and up to complex automation tools in both C++ and python.
What will your job look like:
Get a deep understanding of our chip hardware IP blocks, both analog and digital.
Develop our validation environment.
Develop, port, or add features to the product drivers using Technical Specs and existing modules.
Define, develop and execute various complex validation scenarios on the SoC.
Debug complex SoC problems using embedded GDB, JTAG probes, going down to signal level using scopes.
Take part in Next Gen SoC's Power-On's and platforms Bring-Up's.
Collaborate with other SW/Embedded and HW/Electrical Validation teams across the company.

our company, a world leader in driver assistant systems and autonomous vehicles, is looking for talented SW Embedded Engineer for the range of its next generation SoCs supporting its radar systems.
Our team is responsible for validating our company's radar SoCs, utilizing Pre-Silicon environments, as well as Post-Silicon platforms.
We are developing fully embedded C++ based validation environment for our needs.
You will be taking part in developing anything from environment and drivers through system modules such as file system, network stack, memory management and more, and up to complex automation tools in both C++ and python.
What will your job look like:
Get a deep understanding of our chip hardware IP blocks, both analog and digital.
Develop our validation environment.
Develop, port, or add features to the product drivers using Technical Specs and existing modules.
Define, develop and execute various complex validation scenarios on the SoC.
Debug complex SoC problems using embedded GDB, JTAG probes, going down to signal level using scopes.
Take part in Next Gen SoC's Power-On's and platforms Bring-Up's.
Collaborate with other SW/Embedded and HW/Electrical Validation teams across the company.

We are seeking a highly skilled and detail-oriented Validation Engineer to evaluate the quality, correctness, and performance of our algorithms.
While test execution is part of the role, your primary focus will be to design and develop robust testing strategies, building validation frameworks, identifying critical gaps, and ensuring that our algorithms meet the highest standards of accuracy and reliability.
What will your job look like:
Proactively identify gaps in algorithm performance, logic, and quality. Think critically and deeply about edge cases, failure modes, and potential areas where algorithms might deviate from expected behavior.
Use analytical rigor to determine the most important validation priorities, balancing algorithmic accuracy with the urgency of business needs.
Develop and implement test frameworks to validate algorithm functionality, accuracy, and performance.
Identify gaps in algorithm logic, quality, and failure modes, conduct root cause analysis, and drive corrective actions.
Collaborate with the algorithm development team to define test strategies based on in-depth understanding of the algorithm logic and business requirements.
Innovate new testing methods, define and prioritize test strategies based on risk, impact, and business needs.
Apply analytical skills to solve complex algorithmic challenges and enhance reliability.
Identify opportunities for process improvements, automating manual workflows and introducing innovative approaches to algorithm validation.
Automate testing with CI/CD tools like Jenkins to ensure continuous validation.

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team!
Which department will you join?
The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
The group is comprised of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Mathematical modeling and abstraction of real-life problems.
Research, design and develop innovative algorithmic solutions.
Code design, implementation, and hands-on development.

As an ML Engineer, you will play a crucial role in shaping the system design, backend architecture, and overall performance of our companys ML inference systems. We collaborate with cross-functional teams, including designers, developers, and researchers. The role offers the chance to significantly impact our companys core production systems. Youll have the opportunity to develop and optimize critical backend features and work across diverse technical areas, contributing directly to the company's success. This hands-on role involves working extensively with Python, ComfyUI, system optimizations, and cloud infrastructure.
This position is perfect for a skilled backend engineer passionate about driving efficiency and innovation in machine learning.
Responsibilities
Design and optimize backend systems to support efficient ML model inference
Work with cloud infrastructure, networking, and both CPU and GPU architecture
Enhance the efficiency and observability of our inference engine, supporting various high-demand applications
Collaborate closely with engine users, designers, developers, and researchers to refine and improve system capabilities
Contribute to the ComfyUI codebase, ensuring a scalable, user-friendly interface for machine learning operations
Navigating and contributing to a large, complex existing codebase
Addressing complex issues with creativity and efficiency.

The Core Generative AI team at our company is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and deeply understanding supercomputer performance. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.
This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.
Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.