דרושים » תוכנה » senior software engineer - platform and deployability

As a Senior DevOps Engineer, youll help turn agentic AI capabilities for diagnosing and troubleshooting network and GPU infrastructure into secure, scalable, production-ready services. This role stands out through its end-to-end ownership across cloud and customer-managed environments, close partnership with software and AI engineers, and direct influence on the reliability of NVIDIAs AI infrastructure.


What You'll Be Doing:
Own the DevOps, infrastructure, security, release, and reliability lifecycle - from development environments and CI/CD through deployment, production readiness, and sustained operations.
Build and operate Kubernetes environments and Helm-based deployments for a Python, FastAPI, Node.js, and React microservices platform across SaaS and on-premises footprints.
Engineer GitLab CI/CD pipelines with automated testing, container builds, vulnerability scanning, and versioned image and Helm chart publication through JFrog Artifactory.
Automate infrastructure provisioning, configuration, upgrades, and routine operational workflows to accelerate delivery and improve engineering productivity.
Operate PostgreSQL, Temporal workflow services, and S3-compatible object storage with disciplined capacity planning, backups, recovery testing, and safe migrations.
Strengthen release reliability through deployment validation, reduced-downtime strategies, persistent-state protection, and recovery plans for active workflows.
Deliver actionable observability and security using OpenTelemetry, Datadog/Grafana, Langfuse, secrets management, identity integration, TLS, Kubernetes RBAC, network policies, and container hardening.
Partner with software and AI engineers to troubleshoot distributed systems, investigate incidents, define reliability targets, and improve platform performance, resource efficiency, and customer outcomes.

we are looking for a senior software system architect to join the team shaping networking management systems, aiops platforms, and applied ai solutions for ai cluster operations. you will work with customers, internal operational teams, fellow architects, product, and engineering teams to translate sophisticated operational challenges into clear requirements and scalable architectures, and carry these capabilities through implementation and delivery into products that deliver measurable value for customers.
we seek someone with deep technical judgment, a broad system perspective, and the persistence to move ideas into production-someone who asks sharp questions, catches consequential details, and builds alignment across teams.
what you'll be doing:
define architectures for management and intelligent automation capabilities spanning telemetry, observability, remediation, and operational automation.
engage customers, cluster operations teams, and compute authorities to understand their challenges and architect solutions that improve operational efficiency, reliability, and scalability.
partner with product and engineering to translate architectural recommendations into prioritized features and drive their inclusion in the plan of record (por), defining requirements, dependencies, and success criteria.
resolve system tradeoffs across hardware, firmware, software, and data platforms, with attention to scale, reliability, performance, and usability.
guide design decisions through implementation, with hands-on development of targeted proofs of concept (pocs) and technical investigations as needed to validate critical assumptions.
offer strategic direction and system -level leadership throughout teams, guiding engineering choices and promoting sophisticated, ai-centered operating practices.

This role will expand and accelerate the signing platform engineering and scales the operational support to Israel. You would be the first member of Cryptographic Services located in Israel, and the local owner of signing services. We intend to grow this into a local team. Are you ready to help build it!

What you'll be doing:

Own 3S for Israel-based teams during local hours: triage, debug, resolve, and advance with context when it needs the wider US and India team.

Do the engineering, not just the ticket. Review and deploy production fixes, and take root causes back into the platform so the same failure does not return.

Onboard Networking and other Israel-based teams onto signing and key generation flows, and make that onboarding fast.

Drive AI-enabled automated self-service - the 3S Copilot, our MCP integrations, runbooks and docs - so the region can unblock itself without waiting for any time zone.

Be the regional voice in our planning: bring release calendars and bring-up achievements into our roadmap before they become blocking issues.

Partner closely with the US and India teams, and with Networking DevOps and release management in Israel.

Help hire and mentor the team as it grows, including interviewing and onboarding the engineers who follow you.

We are looking for a Technical Support Engineer dedicated to supporting Slurm for our customers. You will join a dedicated team of Slurm subject-matter guides, owning sophisticated support cases and helping customers run reliable, efficient, and highly scalable clusters. This role requires extensive production experience with Slurm and the ability to diagnose issues across the scheduler and the surrounding Linux, networking, storage, authentication, database, and GPU infrastructure.

What you'll be doing:

Own Slurm support cases from initial investigation through resolution for customers running production AI and HPC clusters.

Diagnose complex problems involving slurmctld, slurmd, slurmdbd, job scheduling, node management, resource allocation, accounting, authentication, and high availability.

Solve Slurm configuration and policy features, including partitions, reservations, priorities, fair-share, quality of service, backfill, preemption, GRES/TRES, cgroups, and job constraints.

Investigate performance, reliability, and scalability issues using logs, diagnostic data, configuration analysis, reproductions, and source-level debugging when required.

Isolate problems across Slurm and its surrounding dependencies, including Linux, MUNGE, databases, networking, parallel storage, containers, GPUs, and cluster-management systems.

Advise customers on Slurm configuration, upgrades, operational practices, managing system resources, and safe recovery from production incidents.

collaborate with engineering teams by producing clear technical descriptions, reproducible test cases, and well-supported defect reports.

Develop guides, knowledge-base articles, diagnostic tools, and internal training that strengthen Slurm expertise across the support organization.

we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's a unique legacy of innovation that's fueled by great technology-and amazing people. we are now seeking a highly motivated infrastructure, tools & ai engineering manager to join our ethernet switching group, working on sonic network os. in this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle - from development environments and ci pipelines through regression, code coverage, and TEST efficiency. you will apply cutting-edge ai and llm capabilities to transform how we analyze failures, generate TEST coverage, and accelerate product quality.
what you'll be doing:
lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities
design, build, and maintain scalable infrastructure for development, integration, and TEST environments supporting sonic os.
architect and deliver llm-based tools for intelligent regression analysis - failure classification, root cause clustering, anomaly detection, and TEST flakiness prediction
lead efforts to reduce regression runtime through parallelization, smart TEST selection, and dependency-aware scheduling
develop deep technical knowledge of sonic network os internals, including its subsystem architecture, sai/asic abstraction layer, and management plane

We are looking for an Engineering Manager to join our Network System Validation group. You will work on system validating advanced networking solutions across our complex AI cluster environments. The group is a high-performance engineering force that treats validation as a first-class software problem. We build systems, frameworks, and benchmarks that prove our network's correctness and performance at scale. In this role you will lead the validation direction and engineering excellence of one of our technology validation teams. This is a management role for a technology leader who can own the technical roadmap and execution, mentoring a team of high-performance engineers, and push our network to its speed-of-light limits. This role combines the development of methodologies and automation tools with system validation, performance analysis, and investigation of cutting-edge AI networking technologies at scale.

What youll be doing:

Lead, mentor, and coach a team of software development and system validation engineers.

Review system and product requirements, design validation methodologies, develop comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions.

Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis.

Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution.

Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection.

Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations.

Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes.

Foster a team culture centered on software quality, accountability, and technical excellence.

we have been defining computer graphics, pc gaming, and accelerated computing for more than 25 years. with an outstanding legacy of innovation, driven by phenomenal technology and extraordinary people, we are looking for a distinguished engineer to help shape the future of ai infrastructure. as part of our advanced development and research efforts, you will drive technical vision and innovation across the ai software stack, spanning gpu computing, rdma, nvlink, Storage, and large-scale distributed systems. you will research next-generation system designs, influence product and platform direction, and help define how massive-scale ai environments are built, optimized, and operated through hardware-software co-design.
what you'll be doing:
research, define, and drive co-design solutions across ai software stacks involving gpu computing, rdma networking, nvlink interconnects, Storage, and large-scale distributed infrastructure
lead deep technical investigations and proof-of-concept development in areas related to distributed ai, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design
work closely with multiple teams across the company to advance next-generation ai infrastructure technologies and influence cross-stack co-design decisions
analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and Storage layers to improve performance, scalability, and efficiency
guide the design of environments that support massive-scale ai training and inference workloads in production
 we want to hear from you!
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate, including in our hiring and promotion practices, on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We are looking for a Senior Software Engineer to join our team developing the core technologies behind our SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

As part of the team, you will contribute to the DOCA SDK (Our DOCA Software Framework), enabling developers to build hardware-accelerated, cloud-native networking and security applications. You will also collaborate on the Linux Foundation's DPDK project, helping deliver industry-leading packet processing performance and scalable networking solutions.

What you'll be doing:

Architect, design, and develop next-generation networking acceleration technologies.

Build and enhance core software components for programmable, high-performance pipeline execution.

Develop software abstractions and infrastructure that expose sophisticated platform capabilities in a scalable and maintainable way.

Optimize execution flow, data movement, and software performance across complex features and workloads.

Work closely with architects, customers, and engineering teams to understand requirements and deliver high-quality solutions.

Collaborate across the software stack, including applications, SDK and runtime layers, drivers, Linux kernel, firmware, and hardware teams.

Drive technical decisions and play a role in crafting the build of performant, maintainable software.

we are looking for a senior hpc ai cluster engineer to join the networking clusters solutions hpc/ai infrastructure team. we are building supercomputers and ai clusters based on groundbreaking technologies. we are looking for a system administrator to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and gpu computing
you will work with the latest accelerated computing and deep learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. you will interact with hpc, os, gpu compute, and systems specialist to architect, develop and bring up large scale performance platforms. does this sound like you? if so, we would love to hear from you!
what you will be doing:
deploy, manage and maintain large scale hpc/ai clusters
managing Linux job/workload schedules and orchestration tools
support and maintain continuous integration and delivery pipelines
troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level
supporting research & development activities and engaging in pocs/povs for future improvements.

we are seeking a talented and driven senior software Verification engineer to join our innovative team and tackle sw verification challenges in the domains of high-speed networking, virtualization, and security. you will play a key role in validating and testing complex software products that support ethernet and infiniband protocols, delivering advanced networking, Storage, and security services for cloud, compute, and ai workloads.
what you'll be doing:
develop and automate testing: design, implement, and maintain automated TEST scripts and frameworks (primarily in Python ) to verify the correct functionality of our software products.
end-to-end feature ownership: deep dive into feature sets, taking responsibility from TEST planning through to final implementation and full automation.
system & integration validation: validate software functionality and performance through system -level and integration testing, utilizing Linux -based environments and virtualization tools.
TEST environment management: set up, maintain, and optimize TEST environments using Linux, docker, virtual machines, and other modern tools.
collaboration & communication: work closely with software, DevOps, architecture, and product teams to define TEST requirements, coordinate releases, and ensure high-quality product delivery.
continuous improvement: drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
defect analysis: analyze TEST results, file defects, and track issues to closure, ensuring robust and scalable solutions.
 
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.