דרושים » תוכנה » Senior SW Engineer

we are looking for a Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!
Responsibilities
Develop and maintain robust, scalable, and secure Java-based software solutions
Collaborate with product managers, architects, and other engineers to design and implement new features
Build and optimize data processing pipelines for high-volume analytics applications
Ensure software quality through code reviews, unit testing, and integration testing
Participate in architectural decisions, contributing to the design of cloud-based systems
Monitor and optimize system performance to meet scalability and reliability goals
Troubleshoot, debug and resolve issues in development, staging, and production environments.

we are a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? we are the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics.
Here at our company, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices - we work with the world's largest and most notable companies in tech.
Responsibilities
Develop and maintain robust, scalable, and secure Java-based software solutions
Collaborate with product managers, architects, and other engineers to design and implement new features
Build and optimize data processing pipelines for high-volume analytics applications
Ensure software quality through code reviews, unit testing, and integration testing
Participate in architectural decisions, contributing to the design of cloud-based systems
Monitor and optimize system performance to meet scalability and reliability goals
Troubleshoot, debug and resolve issues in development, staging, and production environments.

we are looking for a Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!
Responsibilities
Develop and maintain robust, scalable, and secure Java-based software solutions
Collaborate with product managers, architects, and other engineers to design and implement new features
Build and optimize data processing pipelines for high-volume analytics applications
Ensure software quality through code reviews, unit testing, and integration testing
Participate in architectural decisions, contributing to the design of cloud-based systems
Monitor and optimize system performance to meet scalability and reliability goals
Troubleshoot, debug and resolve issues in development, staging, and production environments.

we are looking for a Senior Backend Software Engineer.
As a Backend Software Engineering, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)
JR316760

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other company Software teams.

Required Senior Software Engineer - Research
What you will be doing
As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of our machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering our next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.
Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

Were looking for an experienced SW Team Manager to join our Simulators Team, where you'll lead the design and development of our hardware simulators - functional and performance models that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics.
You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behaviour.

Are you a tech-savvy problem solver with a passion for embedded systems? We are looking for a Senior Embedded Engineer to lead the design and optimization of next-generation software for advanced networking solutions. This position offers more than just a coding job, its an opportunity to lead projects, tackle significant challenges, and make an impact in a fast-paced, agile environment.
What You'll Do:
System Architecture & Design:
Define, design, and oversee system architecture for embedded systems, including Linux internals and bootloaders.
Ensure systems meet performance, reliability, and scalability requirements for cutting-edge applications on routers.
Development & Optimization:
Develop, debug, and optimize embedded C software and kernel modules.
Architect and refine software for networking technologies, ensuring low latency and secure performance.
Drive code quality through hands-on coding, code reviews, and adherence to industry best practices.
Project Management:
Oversee the full development cycle, from concept through deployment, managing timelines, milestones, and resources.
Collaborate with cross-functional teams, including hardware, firmware, and network engineers, to align product goals and technical roadmaps.

We are looking for a Senior RT Embedded Engineer to join our design and development team, responsible for the full-cycle development of an innovative 4D imaging radar for the automotive sector. You will take a lead role in design and implementation of real-time software for a multi-core automotive SoC platform, consisting of embedded cores, DSPs and dedicated accelerators.

What will you do?
Be part of full-cycle development of embedded SW for innovative automotive radars
Take a lead role in embedded system SW design and implementation on the industrys cutting-edge embedded SoC
Integrate the teams SW over the real-time embedded controller. Bring SW to validation readiness to the validation team. Bring SW to the test vehicles
Specify and balance system-SW requirements to achieve the run time restrictions of the compute platform
Work in collaboration with the CTO and Algorithms team

we are architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by our company sets 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 company 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.