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The Senior Silicon Photonics PIC Design Engineer will help build next-generation Photonic Integrated Circuits (PICs) that power high-performance optical interconnect solutions. In this role, you will lead the design, simulation, layout, and system-level testing of advanced silicon photonics components, while contributing to optical test instrumentation for emerging semiconductor test markets.
As a member of the Silicon Photonics Engineering Staff, you will be a key player in the definition, implementation, and validation of complex automated test equipment that interfaces optical ports of silicon photonic devices at all stages of fabrication, from wafer probe to packaged test.
Lead the design, simulation, layout, and system-level testing of advanced silicon photonics components and Photonic Integrated Circuits.
Utilize simulation and design tools, including Ansys/Lumerical and Cadence Virtuoso, to design, validate, and optimize photonic designs.
Collaborate closely with design, layout, EIC, packaging, validation, quality, and system architecture teams to develop high-performance integrated photonic circuits and validate link performance.
Partner with fab and process engineers to define and optimize device design and implement process monitoring structures.
Develop test and qualification plans in coordination with validation and quality engineering teams.
Conduct rigorous testing and characterization of devices and PICs, including passive and active photonic components.
Engage in direct collaboration with silicon foundries to streamline processes and support successful tape-out execution.

We are looking for a talented AI Solutions Engineer to join our innovative AI team. The team develops advanced AI platforms and applications including agentic workflows, Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) based solutions, AI agents, MCPs, and more. You will have the opportunity to shape how AI transforms our products and internal processes worldwide. Your responsibilities will include implementing state-of-the-art AI technologies, developing all aspects of the project - AI, code, data preparation, evaluation, and deployment. We are looking for a motivated teammate who thrives on solving complex problems with AI and continuously explores emerging techniques in this rapidly evolving field.

What you'll be doing:

Design and implement Agentic platforms and workflows to simplify the agentic experience across the company.

End-to-end solutions Implementation to increase the organization quality and productivity.

Develop AI solutions that integrate seamlessly with existing products and workflows.

Build evaluation frameworks to measure and improve AI system performance.

Collaborate with cross-functional teams to identify and implement AI opportunities.

Collect and prepare data from multiple large scale sources for AI training and inference.

Our networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider company. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions.

What you'll be doing:

Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.

Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options.

Explore innovative ideas to improve and optimize our chip systems performance.

Serve as a focal point within the organization and distribute the knowledge that you acquire.

we are looking for an experienced Software Team Lead to lead a team developing high-performance, mission-critical software for next-generation cellular networks.
In this role, you will combine technical leadership, people leadership, and hands-on development, driving the design and delivery of scalable solutions used by leading mobile operators worldwide. You will play a key role in shaping the architecture of our company's next-generation monitoring and analytics platform while mentoring engineers and fostering a culture of technical excellence, ownership, and innovation.
Working closely with architects, product managers, and cross-functional R&D teams, you will influence technical direction and lead the development of complex systems across 4G/5G, Radio, and Core Network technologies.
Responsibilities
Lead, mentor, and develop a team of software engineers, supporting their professional growth and technical excellence.
Drive architectural and technical design decisions for high-scale, performance-critical systems.
Take end-to-end ownership of projects, from design and implementation through deployment and continuous improvement.
Remain deeply involved in hands-on development, debugging, performance optimization, and solving complex technical challenges.
Collaborate closely with Product Management, Architects, and R&D teams to define technical roadmaps and deliver impactful solutions.
Build highly scalable, reliable, and efficient software infrastructure supporting next-generation cellular networks.
Promote engineering best practices, code quality, design reviews, and technical innovation across the team.
Lead cross-functional initiatives and drive alignment between multiple stakeholders and engineering teams.

The company Data Platform is a framework that connects vast patient healthcare data from multiple sources daily, utilizing privacy-safe methodologies to maintain a current view of the US healthcare market. Positioned at the intersection of Big Data and innovative technology, it provides life sciences companies with the insights needed to make strategic business decisions and drive improved patient outcomes.
As a QA automation engineer, you will take a leading part in assuring the quality of our infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark, and other technologies.
What You'll Do
Be part of an excellent agile team
Create detailed test plans
Write and maintain integration, sanity, and regression tests for our products and services
Create and maintain documented coverage of tests
Review and analyze test results
Take part in all scrum activities (estimation sessions, planning, reviews)
Work on CI/CD tools (Git, Jenkins, JIRA) daily
Leveraged AWS cloud services-including S3 and message queues-alongside REST APIs and relational databases to build scalable backend solutions.

we are the industry leader in healthcare marketing analytics. We deidentify large scale healthcare datasets and transform it into actionable insights, allowing life sciences organisations to optimize how they reach and support patients. our company operates at the intersection of Big Data and AdTech. We combine the fast paced delivery of a start-up with the long-term security of a global leader.
You will play a key role in ensuring our customers successfully deploy, integrate, and operate our platform. By leading complex technical integrations and solving challenging infrastructure problems, you'll directly impact customer success, platform reliability, and the delivery of critical healthcare data solutions.
Our engineering philosophy prioritizes speed without compromising on quality. You will integrate into a lean and focused team with the encouragement to drive technical decisions and the accountability to execute. We value individuals who want to solve complex problems over following a rigid script, providing the space to influence both architecture, delivery and strategy.
Leadership shares a clear vision of the future, ensuring every sprint contributes to a larger objective. By helping treatments reach the right people, we use our engineering expertise to improve the healthcare landscape and act in the best interest of the patient.
What You'll Do
Own end-to-end integrations for large enterprise customers.
Work with modern cloud technologies across AWS, Azure, and GCP.
Solve unique technical challenges involving infrastructure, security, networking, and automation.
Collaborate closely with Engineering, Product, Customer Success, and customer technical teams.
Influence architecture, best practices, and the future direction of our deployment and integration processes.
Lead customer onboarding and technical integration projects from planning through production deployment.
Design, deploy, and troubleshoot cloud infrastructure using Infrastructure as Code (Terraform, Ansible, CloudFormation).
Implement and support Kubernetes, compute, networking, storage, and security configurations across multiple cloud providers.
Automate deployment, upgrade, and operational workflows to improve reliability and efficiency.
Investigate and resolve complex production issues, performing root cause analysis and driving permanent fixes.
Partner with customers and internal engineering teams to deliver scalable, secure, and highly available solutions.
Develop technical documentation, implementation guides, and operational runbooks.
Mentor engineers and contribute to improving engineering standards, tooling, and operational excellence.

As an LLM Engineer, you will be responsible for developing and implementing cutting-edge Large Language Model (LLM) technologies to create innovative hiring agents for our companys global clients. In this role, you will:
Dive deep into LLM technologies, actively researching and experimenting with new solutions to drive innovation in hiring practices.
Implement practical applications of LLM research findings into end-user-facing applications, creating scalable and impactful tools that directly impact clients.
Design and implement LLM evaluation frameworks to assess and integrate new AI models, parameters, and techniques
Adopt lean methodologies to swiftly meet business objectives, swiftly iterating based on client feedback and being unafraid to take risks and learn from failures.
Deeply understand product challenges to make intelligent and efficient software-building decisions.

About the Role
Design, build, and improve ML-powered software products that deliver real value to users.
Explore, analyze, and model large-scale textual data to support accurate predictions, classification, and decision-making.
Develop and evaluate NLP and machine learning models, using LLMs and generative AI techniques when relevant.
Move quickly from data analysis and experimentation to prototypes, production-ready code, and integration with other services.
Own the quality, performance, and ongoing improvement of your work through metrics, evaluation, and data-driven iteration.
Collaborate with product, engineering, and research partners while learning from a strong technical team.

As a Senior Applied AI Engineer, you will lead the bridge between cutting-edge AI capabilities and production-grade software. You will design, build, and optimize the intelligent systems, agentic workflows, and LLM-driven architectures that power our companys conversational products.
Also, you will combine software engineering rigour with state-of-the-art Generative AI techniques - optimizing for conversational quality metrics, latency, and system reliability in high-scale production environments, serving millions of users. We are looking for an engineer who is hungry for AI innovation, eager to pioneer new generative capabilities, and passionate about shipping impactful AI solutions.
In this role, you will:
Design & Scale AI Systems: Architect and deploy high-performance LLM orchestration systems, agentic workflows, retrieval-augmented generation (RAG) pipelines, and AI microservices.
Bridge AI Research & Production: Transform frontier LLM research, foundation models, and generative techniques into robust, production-ready features with high availability and low latency.
LLM Evaluation & Guardrails: Design and implement automated LLM evaluation (evals) frameworks, benchmark suites, and guardrail policies to continuously measure accuracy, reduce hallucinations, and ensure safety across product flows.
Optimize Performance & Cost: Lead latency, throughput, and token-cost optimization strategies across commercial APIs and open-source models.
Set AI Engineering Standards: Elevate software craftsmanship across the team through architectural reviews, code quality, and LLMOps best practices, utilizing the latest AI tools.
Drive Product Innovation: Collaborate closely with product and engineering teams to translate complex human resource and conversational challenges into intelligent software solutions.

As the Development Team Lead for HiredScore Sourcing Products, you will manage and mentor a cross-functional team of Full-Stack Engineers, Backend Engineers, and QA Automation Specialists.
Your team's core mission will be to translate AI/ML insights into seamless, scalable features that drive efficiency in recruiter workflows-specifically through resurfacing past applicants, prospects, and internal talent. You will own the entire development lifecycle for your products, from core API implementation to deploying user-facing applications and integration layers (web UIs, RPA/workflows, MS Teams bots)
Key Responsibilities:
Lead, mentor, and grow the diverse engineering team, ensuring effective collaboration between backend, full-stack, and QA functions. Drive best practices in development, code quality, and delivery speed.
Design, document, and oversee the implementation of scalable, reliable, and secure systems, ensuring seamless integration between backend AI services and the user-facing product layers.
Ensure the team maintains a strong quality and automation culture by providing strategic direction to QA specialists and upholding high standards for testing and product stability.
Drive development across the full spectrum of product surfaces: APIs (GraphQL/REST), Web Applications (React/Angular/Vue), and specialized engagement layers.
Ensure efficient consumption of AI outputs by downstream systems, particularly through robust queue-based architectures (like RabbitMQ) and workflow automation (RPA).
Partner closely with Product Management, Data Science, and other engineering teams to translate business requirements into technical execution.