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We are looking for a hands-on Software Team Lead to shape a new technology product that will form our next-generation platform for the semiconductor industry. This is an opportunity to define the architecture, stay close to the code and lead a motivated team of three developers and one quality assurance (QA) engineer. Combining advanced software, hardware integration and creative problem-solving, you will turn complex challenges into reliable C#/.NET solutions, drive rapid delivery and champion GitHub Copilot, reusable skills and dedicated agents.
Responsibilities
What will you be doing:
Lead architecture, planning and delivery of a new technology product and our next-generation platform.
Develop core C#/.NET components and guide integration with hardware interfaces and data-processing services.
Mentor three developers and a QA engineer; lead design reviews, code reviews and practical GitHub Copilot adoption.
Build a positive, supportive team culture; lead with empathy and enthusiasm, motivate people, remove blockers and help the team deliver on commitments.
Work with product, algorithm, hardware and QA teams to turn requirements into working software.
Own software quality, automated testing, performance and reliable software deployments.

We are looking for an experienced SW QA Engineer to join an Agile, multidisciplinary team.
In this role, you will be responsible for hands-on SW quality assurance of our complex multidisciplinary systems, with a strong focus on system-level and manual testing.
The role requires hands-on use of AI-assisted tools in day-to-day QA activities, including test design and generation, failure investigation, data analysis, efficiency improvement, and AI-assisted test automation.
Automation or scripting background is an advantage.
Responsibilities
Act as an active QA member within an Agile development team.
Be involved throughout the software development and release lifecycle, including Beta testing at customer sites abroad.
Develop strong expertise in our systems and identify quality and product risks during software development.
Define and plan testing strategies for our software.
Create and maintain high-level and detailed test plans and test scenarios.
Execute system and software tests to validate software quality and release readiness.
Define, maintain, and continuously improve regression coverage.
Plan and execute Beta testing activities at customer sites.
Investigate failures, perform root-cause analysis, and work with relevant stakeholders on corrective actions.
Use AI-assisted tools to improve QA activities, including planning, test design, test creation, risk analysis, failure investigation, data analysis, documentation, and selected test automation.

Our Dimensional Metrology Division is looking for a Software Product Manager to lead the strategy, commercialization, and lifecycle management of the division's software-based products.
In this role, you will hold end-to-end ownership of the software product portfolio, from understanding market and customer needs, through defining product requirements and roadmap, to driving customer adoption, business growth, and long-term product success.
You will work closely with customers and with cross-organizational teams, including R&D, Applications, Engineering, Service, Sales, and Marketing, to ensure that our software products deliver strong customer value, sustainable revenue growth, profitability, and a clear competitive advantage.
This is a key business and product leadership role, combining strong technological understanding, strategic thinking, customer orientation, and the ability to translate complex market and product needs into clear business opportunities and successful software solutions.
Responsibilities
Define and maintain the product strategy and roadmap for the division's software-based products, aligned with the overall portfolio strategy, business goals, and customer needs.
Lead software product definition by translating market, customer, and cross-product requirements into clear product requirements and priorities.
Conduct market analysis, competitive assessments, and business case development to identify product opportunities, differentiation, and monetization potential.
Own commercialization activities, including Go-to-Market planning, Beta programs, customer evaluations, demonstrations, and RFQ support.
Build and maintain strong relationships with customers to understand product performance, capture Voice of Customer feedback, and identify opportunities to improve competitiveness and customer satisfaction.
Drive product growth through strategic evaluations, product promotion, customer adoption initiatives, and ongoing business follow-up.
Lead the resolution of complex customer escalations by coordinating cross-functional actions and ensuring clear ownership until successful resolution.
Collaborate closely with R&D, Applications, Engineering, Service, Sales, and Marketing to maximize product performance, quality, profitability, and lifecycle success.
Lead Technical Review Meetings to drive product priorities, customer commitments, launch readiness, and cross-functional alignment.
Own product lifecycle management, including product enhancements, technical performance follow-up, and End-of-Life planning and execution.

The service team is looking for a Service Engineer to provide product support at our customers.
In this role you'll be joining the Global Service Group. We provide service to a large-scale install base, at leading semiconductor manufacturers worldwide.
Responsible for training, installing, and supporting all our products at customer sites worldwide.
We foster teamwork, excellence, and innovation, making customer success our main goal.
Responsibilities
What you will be doing:
Implement the Customer Support Policy for the OEM End User. Supervise, maintain, and support company systems in the field.
Support OEM partners, and End Users internal service as defined under warranty and service support agreements.
Maintain, support, and guide proper training to all users, including OEM and End User personnel. (Training will be provided, in most cases, by an engineer dedicated to training).
Maintain proper reporting methods for all activities of customer support as defined by the Territory Service Manager/Customer Support Manager.
Lead technical field escalation.
Involved in product evaluations activities at customer site; make sure field and customer needs are well-represented and prioritized during the product roadmap.
Assist in new equipment integration, add-ons, and upgrades.
Provide feedback to the headquarters based on experience gained with customers.
Support the customer beyond the defined working schedule as required.

We are seeking a Senior Full Stack Developer to join our Server Platform team and help develop the next generation of process control solutions for the semiconductor industry. Working closely with software, hardware, algorithm, and QA teams, you will deliver high-quality, scalable software using modern development practices and AI-powered tools such as GitHub Copilot.
Responsibilities:
Design and develop clean, maintainable C#/.NET components and services.
Integrate software workflows with hardware interfaces, algorithms and data services.
Use GitHub Copilot to accelerate implementation, refactoring, testing and debugging while taking ownership of code quality.
Write automated tests, participate in code reviews and resolve performance and reliability issues.
Deploy and troubleshoot containerized services on Kubernetes; use Python for tooling and automation.

We're looking for a Senior AI Engineer to design, build, and ship production-grade LLM agents that reason over workforce and skills data on top of Loomra's semantic layer. You won't just prototype - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily (Teams, Slack, Copilot), and iteration in front of enterprise customers. You'll work alongside product, data, and platform engineers to turn powerful capabilities into reliable, safe, and fast product experiences.
If you've built agents that actually made it to production - and you care as much about evaluation, guardrails, and reliability as you do about capability - we want to talk to you.
Responsibilities
Design and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Implement retrieval and RAG pipelines over structured and unstructured workforce data, grounded in our knowledge graph connecting people, jobs, and skills.
Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Build evaluation harnesses, guardrails, and safety/bias checks, and work within the governance engine so agents behave reliably, respect customer policies, and produce a full audit trail.
Ship agents in a model-agnostic way across providers (Anthropic, Google, IBM watsonx) and deploy them into Teams, Slack, and Copilot.
Optimize agents for latency, cost, and reliability at enterprise scale.
Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Partner closely with product, data, and platform teams to translate customer needs into agent capabilities.

We're looking for a smart and capable DevOps Engineer. You will be part of a small and agile team, working on well-built infrastructure, handling production workloads, building and maintaining infrastructure that supports continuous delivery. This job includes work across the devops stack, including agent development, CI/CD, networking, resource allocation, cloud architecture, security, developer experience, and more.
We work with enterprise customers, with the SLA and expectations that this dictates.
This position includes on-call shifts.
Our stack:
Kubernetes on AWS
Terraform and IAC
Github & Github Actions
Responsibilities
What will you DO:
Design and evolve our cloud multi-region architecture on AWS - networking, interconnects, IAM and high-availability topology - and express it entirely as code with Terraform, following GitOps as a first principle.
Build and own the CI/CD pipelines that plan, review, test and safely apply IaC changes - Policy-as-Code guardrails, drift detection and progressive rollout so infrastructure changes ship as confidently as application code.
Advance Platform-as-a-Product: build self-serve capabilities and paved paths so engineers can provision what they need
Strengthen our observability stack - metrics, logs, traces and alerting.
Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
Design and develop the next generation of AI agents to support higher pace and evolve the RnD productivity while maintaining security and engage the entire company to use AI for better solutions.

We are looking for a highly driven and experienced AI Engineer Team Leader to manage and mentor a core team of engineers while remaining 50% hands-on. In this critical role, you will lead the development of our enterprise Agentic AI platform, blending deep technical expertise in AI agent development with strong engineering leadership.
As a Team Leader, you will drive the technical agenda, plan sprints, and collaborate closely with Product Managers and cross-functional partners to turn powerful capabilities into reliable, safe, and fast product experiences. You must thrive in a high-pressure, dynamic startup environment characterized by a fast pace and frequent pivots, ensuring your team remains focused, agile, and aligned with business goals while executing at the highest level.
You won't just manage - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily, and iteration in front of enterprise customers.
Responsibilities
Team Leadership & Management (50%): Manage, mentor, and grow a team of AI and software engineers. Oversee task allocation, sprint planning, and daily agile ceremonies.
Hands-On Engineering (50%): Actively code, design, and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Technical Strategy & Architecture: Drive the technical agenda, architecture decisions, and best practices for developing scalable, LLM-driven applications grounded in our knowledge graph.
System Integration: Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Production Excellence: Build evaluation harnesses, guardrails, and safety/bias checks. Optimize agents for latency, cost, and reliability at enterprise scale. Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Cross-Functional Collaboration: Work intimately with Product Management, Data, and Design teams to translate customer needs into agent capabilities, define roadmaps, and prioritize tasks.
Agility & Execution: Lead the team through frequent pivots and rapid development cycles, ensuring high-quality delivery under pressure in a fast-paced startup environment.

Own the technical integrations that connect us with retailers systems, making sure data flows are smooth, secure, and ready for scale.

Responsibilities
Manage data integrations with POS, ERP, and other systems.
Define and document technical requirements for new onboardings.
Work with APIs, SFTP, and database connections.
Troubleshoot and resolve integration issues with engineering.
Collaborate with retailers IT teams during setup.

we are the AI-native platform powering the era of Agentic HR. Powered by Loomra, our context engine is purpose-built for the workforce. our company lets you build any Agentic HR agent that operates in the flow of work across Slack, Microsoft Teams, Copilot, and Google Chat. Talent Redeployment, internal mobility, skills intelligence, workforce redesign, and whatever comes next.
Trusted by leading global enterprises, our company serves over 1.5 million employees across 30+ Fortune 500 companies, unlocking more than 4.8 million strategic work hours. We help organizations harness AI to unlock agility, productivity, and growth, empowering them to achieve true ROI and drive exponential productivity.
About the Role
We are seeking an experienced and passionate Senior Software Engineer to join our core engineering team. In this role, you will design, build, and scale high-performance backend services that power our enterprise Agentic AI platform. You will tackle complex technical challenges, architect robust systems, and work on cutting-edge features that seamlessly integrate AI agents into enterprise workflows.
As a Senior Software Engineer at our company, you will collaborate closely with product managers, and cross-functional engineering teams. You will take full ownership of end-to-end feature delivery from initial system design and API definition to production monitoring and optimization - ensuring our platform maintains top-tier reliability, security, and execution velocity.
Responsibilities
Design, architect, and maintain highly scalable, high-throughput backend services and distributed systems.
Take end-to-end ownership of features and projects, driving them from technical design through to deployment and monitoring.
Build and optimize core APIs and integration layers.
Write clean, testable, and maintainable code, adhering to software engineering best practices (CI/CD, code reviews, automated testing).
Drive architectural decisions, lead technical design discussions, and advocate for system performance and scalability improvements.
Troubleshoot and resolve complex production issues, ensuring high system availability and low latency.
Mentor and guide junior and mid-level software engineers, driving engineering excellence across the team.

We are looking for a DevOps Engineer to own and scale the infrastructure behind our AI systems.

What you'll do
Own cluster reliability, availability, monitoring, alerting, capacity planning, and incident response.

Configure, maintain, and troubleshoot GPU servers, networking equipment, switches, InfiniBand fabrics, storage, and related infrastructure.

Deploy, maintain, and improve infrastructure around Slurm, Kubernetes, and GPU workload orchestration.

Manage and improve our cloud environment, including compute, networking, storage, IAM, security groups, cost visibility, and production infrastructure.

Build, maintain, and improve CI/CD pipelines.

Work closely with engineers to understand infrastructure bottlenecks and improve development, training, inference, and deployment velocity.

Contribute to security best practices across cloud, network, CI/CD, access control, secrets management, and production systems.

We are looking for a Deep Learning Engineer to help design, implement, optimize, and scale the training and inference systems behind our models.

What you'll do
Collaborate with cross-functional teams to bring research breakthroughs into production environments.

Build tools, abstractions, and infrastructure that make model training, evaluation, and deployment faster and more reliable.

Analyze and overcome performance and scalability challenges in large-scale distributed training.

Debug complex issues across the full ML stack: data loading, model code, distributed execution, GPU utilization, memory usage, networking, checkpointing, and serving.

Work with modern training and inference frameworks such as Megatron, TorchTitan, PyTorch, and vLLM.

We are seeking talented, creative and disciplined engineers to join the best-in-class team that plays a significant part in the development of new silicon for our eco-systems by engaging in a dynamic, highly collaborative environment with the focus on the following goals.

Deep understanding of components/modules within wireless communication systems and the corresponding calibration and impairment reduction techniques - Develop methods/algorithms to alleviate hardware induced impairments by calibration, cancellation and other applicable techniques - PHY firmware architecture and design, including calibrations, real-time processing flows, collaboration with RF hardware, microcode, and MAC layer.

Develop highly efficient designs delivering outstanding performance, optimizing power and memory footprints while meeting hard-realtime latency requirements.

Debug real-time systems with limited visibility, working hands-on with development boards and lab equipment.

Collaborate with Radio, MAC, and Systems engineering teams to architect, define and implement innovative algorithms, calibrations, and protocols.

Support pre-silicon validation efforts, including simulation, emulation, and FPGA prototyping.

Develop SoC test and calibration capabilities for chip, module, and product factories.

Support post-silicon bringup, validation, performance characterization, system integration and debugging. - Repeatedly measure and optimize results using various test harnesses - Automate calibration and verification processes