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KMS Lighthouse is seeking an experienced R&D Director to lead our global engineering organization and drive the execution of our technology strategy. This role is responsible for leading multiple engineering teams through experienced managers, scaling engineering excellence, and ensuring the successful delivery of high-quality, enterprise-grade SaaS solutions. The ideal candidate is a strong people leader with extensive experience managing large-scale engineering organizations in a global environment. They will play a key role in accelerating AI adoption across the engineering organization, embedding AI-driven development practices, and leveraging AI technologies to improve productivity, software quality, and innovation.

Responsibilities:
Lead and scale the global engineering organization through engineering managers, fostering a high-performance culture. Define and execute the engineering strategy in alignment with business and product objectives. Drive AI adoption across engineering by integrating AI-powered tools and development practices that improve productivity, software quality, and delivery. Develop engineering leaders through coaching, mentorship, succession planning, and organizational growth. Partner with Product, Architecture, Customer Success, and Executive Leadership to deliver scalable enterprise SaaS solutions. Drive engineering excellence by improving development processes, operational efficiency, quality, and execution. Oversee planning, prioritization, resource allocation, and execution across multiple engineering initiatives. Stay ahead of emerging technologies and industry trends to ensure continuous innovation.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

we are seeking a Principal Technologist to be a senior technical leader within our Pre-Sales organization, focused on the compute side of AI infrastructure. Join a dynamic and forward-thinking company at the forefront of AI infrastructure transformation. We partner with hyperscalers, emerging NeoClouds, and enterprises building AI/HPC GPU compute clusters, helping them get maximum performance and utilization out of their compute platforms. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact on multi-million-dollar customer engagements.
As a Principal Technologist, you will serve as the senior technical authority on AI compute infrastructure in complex pre-sales cycles. You will lead solution design for our company's most strategic opportunities globally - working independently or alongside Solutions Architects and Sales teams to translate customer compute and workload requirements into scalable, differentiated technical solutions. You will engage at the C-level and VP level with hyperscalers, NeoClouds, service providers, and large enterprises, and will serve as a thought leader and enabler both internally and externally on GPU/accelerator compute architecture.
Responsibilities
Own the technical architecture for our company's most complex and high-value customer opportunities - spanning AI/HPC GPU and accelerator compute cluster design, workload performance, and the compute-to-network interface.
Partner with Sales and Solutions Architects from early discovery through deal closure, establishing our company as the technically superior choice for customers building next-generation AI compute infrastructure.
Lead proof-of-concept design and execution - defining success criteria, driving GPU cluster benchmarking plans (training/inference throughput, scaling efficiency), and ensuring results are communicated with the rigor and clarity that wins technical confidence at the customer.
Engage directly with ML infrastructure leads, compute architects, and C-level stakeholders at hyperscalers, NeoClouds, and large enterprises - building relationships that outlast any single deal.
Serve as a product feedback engine - capturing deep field insights on GPU/accelerator platform trends and workload behavior, translating them into concrete requirements for our company's Product Management and Engineering teams.
Define and publish architecture playbooks, reference designs, and best practices for AI compute infrastructure that scale our company's technical go-to-market across the Solutions Architect and Solutions Engineer community.
Lead and mentor Solutions Architects and Solutions Engineers, raising the overall technical bar of the pre-sales organization on compute and workload topics.
Represent our company at industry events, author white papers and technical blogs, and build our company's external technical brand in the AI compute infrastructure space.

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.

The data-path group provides core components for our products. We design and develop the data plane features for a large-scale distributed system - for example, forwarding information base, quality of service, security and telemetry. We gain a deep understanding of ASIC architectures and work directly with chip SDKs to configure the hardware and implement these features.
We're looking for a software engineer with a passion for software development, solid C/C++ skills, and real excitement about the way AI is changing how software gets built. Our product evolves quickly and priorities shift, so we want someone who is easy-going, flexible, energetic, and adaptable to change.
Responsibilities
Design, develop and debug data-plane features in C/C++ for a large-scale distributed system
Own features end to end - from design through implementation, testing and production
Make AI tools part of your daily workflow to move faster and increase quality, and help the team discover new ways to use them
Investigate and resolve complex issues across a multi-component system
Collaborate closely with other engineering groups, QA and product teams
What We Offer
Work on core technology running in some of the largest networks in the world, including AT&T and Comcast
A team that adopts AI tools early and gives you room to experiment with them.

We're building a new orchestration platform for AI datacenters-software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
You'll join a small, growing engineering team where every engineer ships. In this hands-on development role, you'll build backend services, contribute to system design, and own features from implementation through production, working closely with experienced engineers.
If you enjoy solving challenging engineering problems, building new products, and seeing your work run at scale in real AI datacenters, this role is for you.
What You'll Do
- Build and maintain core services and features for an orchestration platform spanning compute, networking, and accelerators.
- Translate customer requirements into APIs, workflows, and data models in collaboration with the team.
- Deliver features end-to-end, from prototyping and implementation to testing, deployment, and production support.
- Write reliable, maintainable code and contribute to shared libraries, automated tests, and CI/CD pipelines.
- Contribute to design discussions and make practical implementation tradeoffs around performance, reliability, and simplicity.
- Participate in code reviews, share knowledge, and help improve engineering practices.
- Troubleshoot issues and improve service performance, observability, and operational readiness.

We are looking for a Senior AI Ops Engineer to join our AIOps team and help build the AI-powered platforms, agents, and workflows that enable engineering teams across our company.
This is a hands-on role for someone who can take AI solutions from idea to production, build the infrastructure around them, and create the observability needed to understand and improve how they behave in the real world.
Job responsibilities
Build and operate production-grade AI agents, AI-enabled tools, and workflows that empower developers and operational teams.
Design agentic systems using frameworks such as LangGraph, LangChain, and Supervisor, including RAG, MCP integrations, tool calling, and guardrails.
Build and evolve an AI SDLC harness that helps teams plan, implement, validate, govern, and safely deliver AI-assisted software changes.
Lead AI observability with Langfuse and OpenTelemetry, including tracing, evaluations, quality measurement, and cost analysis.
Build automated evaluation frameworks, including LLM-as-a-judge, to improve the reliability and quality of AI systems.
Design and maintain the infrastructure, CI/CD pipelines, GitOps workflows, and security controls that support AI services.
Develop internal developer tooling and automation that removes friction across the engineering organization.
Partner with engineering and product teams to turn real operational challenges into scalable AI-powered solutions.

Were looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.


What youll do
Own product features end-to-end, from requirements through production and monitoring.
Work with Product to translate business problems into clear technical solutions and execution plans.
Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
Use AI coding agents to accelerate implementation, testing, debugging, and automation.
Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
Make independent technical decisions and communicate architectural trade-offs clearly.
Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
Investigate and solve complex production and performance issues.
Continuously improve how we build, test, and ship software using AI-native development practices.

job overview
were building software that helps Machine Learning and ai workloads run efficiently on the next generation of compute platforms.
our ml engineering teams are looking for experienced software engineers with strong C ++ skills and practical experience with Machine Learning frameworks such as pytorch.
the work sits at the intersection of Machine Learning, software and hardware. projects span ml frameworks and compilers, runtimes, drivers, Embedded software and performance optimisation, creating opportunities to work on complex engineering challenges across the ml software stack.
were hiring across several levels of seniority, with scope and technical leadership matched to experience.
interested in understanding what happens below an ml framework? curious about how software and hardware come together to make ai workloads faster and more efficient? this could be a great opportunity to explore both.
what you'll do
the team develops and optimises C ++ and Python software for Machine Learning workloads, working closely with ml software and hardware engineers to understand how models execute and where performance and efficiency can be improved.
the work could include ml compilation, pytorch integration, runtimes and drivers, performance analysis or Embedded software. there will also be opportunities to contribute to technical design, take ownership of larger engineering challenges and support the development of other engineers.

we are looking for a talent software engineer to join our ethernet switch sonic network os.
we have amazing gpus that power ai applications, but they also require a high-performance network to support them. as a team member, you will have the opportunity to create innovative software that optimizes ai networks for the best performance possible. in this position you will take part in sonic large worldwide community, contributing new features, bugs fixes and have our switch products running with sonic nos in production in different clusters over the world.
about sonic: https://sonicfoundation.dev/
what you'll be doing:
design and implement features as part of the sonic release train on top of our switch products
be part of our sonic r&d team, contribute code to sonic worldwide community
work in a continuous deployment environment of fast development/deployment cycles
work with experienced teams which are well known in the sonic community

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 within the doca sdk.
work closely with architects, customers, and engineering teams to understand requirements and deliver scalable, high-performance solutions.
collaborate across the software stack, including applications, virtualization, drivers, Linux Kernel, firmware, and hardware teams.
drive technical decisions and contribute to the design of performant, maintainable software.

we are looking for a talent software engineer to join our ethernet switch sonic network os.we have amazing gpus that power ai applications, but they also require a high-performance network to support them. as a team member, you will have the opportunity to create innovative software that optimizes ai networks for the best performance possible. in this position you will take part in sonic large worldwide community, contributing new features, bugs fixes and have our switch products running with sonic nos in production in different clusters over the world.
what you'll be doing:
design and implement features as part of the sonic release train on top of our switch products.
be part of our sonic r&d team, contribute code to sonic worldwide community.
work in a continuous deployment environment of fast development/deployment cycles.
work with experienced teams which are well known in the sonic community.
widely considered to be one of the technology world's most desirable employers, we offer highly competitive salaries and a comprehensive benefits package. as you plan your future, see what we can offer to you and your family.
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 seeking a highly skilled senior performance engineer to join our performance and r&d organizations. in this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale gpu- and cpu-based clusters used in ai and high-performance computing environments. you will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. this is a fast-paced r&d environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.
what you'll be doing:
profile, benchmark, and analyze ai and hpc workloads on gpu and cpu clusters
explore performance characteristics of high-performance networking and collective communications (e.g., nccl, rdma, mpi, roce)
identify performance bottlenecks across networking, compute, memory, and system architecture
develop and enhance performance analysis, benchmarking, and diagnostic tools
define performance TEST plans and establish expectations for new technologies and platforms
collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights
support telemetry collection and data refinement efforts to enable accurate performance analysis
maintain high standards for data quality, reproducibility, and traceability of performance results

we are seeking a networking software engineer to join our rdma transport software team, driving the development of next-generation rdma solutions for ai, cloud, hpc, and Storage. you will research and develop innovative transport algorithms that push the limits of performance and scalability. you will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the world's largest enterprises
what you'll be doing:
take part in research, design, and development of advanced rdma transport mechanisms and algorithms, enhancing performance, reliability, and scalability.
collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.
keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process