דרושים » תוכנה » Senior Software Engineer

Working on a young codebase written in Python, you will co-own our open-source projects.
Your role will involve leading a team of Software Engineers and driving features from inception and analysis through design, implementation, testing, and maintenance.
You will also participate in product-changing architectural choices, take ownership of various components/tools, and continuously expand your skill sets.
Expect to immerse yourself deeply in complex sub-systems that support serving of AI models at scale (for example model-monitoring and feature-store).
We are a leading AI and machine learning company based in Herzliya. Recognized for helping enterprises deliver enterprise-wide analytics at scale, our advanced Machine Learning Operations (MLOps) pipeline enables clients to streamline and manage their AI, from the initial concept all the way to production, in a simplified and automated manner.

We are rapidly growing into various verticals as stated above and looking to grow our team with a developer relations leader. This role is a key member of the team that would manage our technical engagements in leading industries such as general AI/ML applications development, consumer internet, AI on embedded systems and others; and to evangelize our portfolio of technologies and accelerate its adoption among developers. Have strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers. This is a regional role covering Israel's AI ecosystem.

What you will be doing:

Develop a technical strategy to ensure our platforms adoption for selected industries, focusing on your priority industries and use cases

Establish relationships with technical leaders in organizations and communities, specifically developers, startups and ISVs within the industries.

Evangelize and develop our leadership position by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities

Lead participation in targeted customer and industry developer events and activities. Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers.

Be the key advisor to how we are differentiated. You will become a technology mentor and focal point for the software developer community.

We have improved AI infrastructure by merging GPU virtualization with Kubernetes-native tech to power innovative AI factories. We aim to speed up enterprise AI projects with smart orchestration, and scalability for AI workloads. Seeking a skilled Senior Software Engineer for our Infrastructure Group to innovate AI technology. The Infrastructure Group is tasked with composing and evolving the core systems responsible for thousands of GPUs and nodes driving enterprise AI. We invent the foundation that facilitates elastic, secure, and observable AI operations at extensive scale. We are seeking engineers who are passionate about distributed systems, modern cloud-native infrastructure, and AI performance optimization.

What youll be doing:

Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

Conducting code and build reviews to uphold high-quality standards and mentor team members.

Leading the development and implementation of advanced identity management systems that secure our innovative AI and GPU cloud.

Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of our platforms securely and efficiently.

Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.

We're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Manager to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how youll make an impact:
* Manage a team of 3 release engineers.
* Manage the end-to-end release process of Machine Learning algorithms and infrastructure components, from qualification through deployment.
* Validate and TEST new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

The computer vision team is working to transform hematology into a big-data science, ultimately enabling better healthcare. We are seeking a senior research engineer to join us in making this revolution a reality.

Your responsibilities will include:
Contributing expertise to the team to extract maximum value from available visual data. Serving as a knowledgeable resource, capable of respectfully teaching and guiding others, while continuously learning and growing.
Researching and implementing AI technology, including deep learning and classical computer vision approaches. Designing and developing efficient, clear and production-ready Python code to ensure rapid and seamless product integration.
Actively participating in researching new directions: sharing ideas and best practices, defining data requirements, contributing to improving the team's internal research tools, and supporting other team members with their research efforts.

We are looking for a versatile Senior Software Engineer for the DPU Platform team. This position offers the opportunity to have real impact in a multifaceted, technology-focused company affecting product lines that empower the most advanced data centers in the world. Using your deep knowledge of embedded platforms, operating systems, and software distribution technologies, you will work with a world-wide development team to solve the unique challenges of delivering the world's most powerful platforms.

What you'll be doing:

Develop system software components including processor firmware and bootloaders, kernel drivers/modules, and user space applications and libraries

Collaborating with hardware and product design teams to develop software for sophisticated SOC platform designs.

Assisting world-wide teams with various customers' and internal DPU projects.

Tackle complex system-level optimization and resource utilization challenges.

Participate across all levels of product development lifecycle that values high-standards for clear requirements, software quality and performance.

Collaborate within a worldwide matrixed software development team, and have broad impact within our highly-dynamic and technology-focused company.

Senior software engineer Computer Vision We are seeking a highly motivated and experienced Senior software engineer to lead the development of an advanced Vision software stack for cutting-edge unmanned aerial systems.
In this role, you will own the design, integration, and optimization of key capabilities such as Visual-Inertial Odometry, Tracking, ATR, Motion Detection, image preprocessing and stabilization, as well as data -link and video-streaming solutions. You will work closely with Infrastructure, Mission Control, Systems Engineering, Flight Operations, and Product teams to deliver high-performance, reliable, Real-Time autonomy software for operational environments.
Responsibilities:
Contribute to the architecture, design, and implementation of Vision software modules. Lead the development of complex features from concept to production. Collaborate with mission control, systems, infra, and flight teams to ensure robust system integration.
Translate cutting-edge research and PoCs into production-grade solutions. Mentor and support junior engineers.
Ensure high performance, robustness, and Real-Time operation under constrained conditions.

We are in search of a Senior Software Architect- a creative, forward-thinking, and practical researcher to improve the framework for widespread LLM learning and prediction. As part of our dynamic E2E Architecture group, you will design and optimize systems driving generative AI workloads, working at the intersection of software and hardware on some of the most advanced GPU clusters worldwide. You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and compute scheduling to system-level optimization. This is an opportunity to collaborate with best-in-class engineers and researchers and shape the future of generative AI in real-world applications. Your work will make a lasting impact by enabling generative AI technologies to reach real-world applications and improve global computing capabilities.

What Youll Be Doing:

Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, and placement.

Analyze current deployments, develop prototypes, and recommend architectural improvements.

Stay abreast of the latest research; become the teams authority in emerging networking techniques and technologies.

Design, simulate, and validate new systems using novel, scalable network simulator NSX.

Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).

Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.

Publish patents and present research at leading conferences.