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We are looking for a Senior Chip-Design Verification Engineer to join our Network Adapter Silicon group. As a Senior Verification Engineer at NVIDIA Networking Silicon team, you will join a group of passionate engineers to design and implement the next generation state-of-the-art Networking Silicon chips. In this position, you will make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:

Work in a combined design and verification team which develops core units within the Networking silicon.

Build reference models, verify and simulate chip blocks/entities according to specifications and performance requirements.

Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, FW and Post-Silicon validation.

We are looking for a top ASIC Engineer with a curiosity about SOC design automation, RTL integration, chip build and assembly, and padring design and verification. You should have real passion for methodologies and automation solutions that enable SOC creation in the most optimized way.

In this position, you will get the opportunity to build complex networking chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams.

What you'll be doing:

Implement chip level design through collaboration with cross-functional teams (Functional Design, DFT, Design Verification, System Verification, STA, and Physical Design).

Be exposed and work on a variety of functional and structural challenges. Including functional debug, physical design readiness, emulation, resolve design quality issues.

Daily work involves aspects of chip level design, including partitioning, CDC, RDC, trial synthesis, design quality checks.

Taking part in flows development and deployment.

We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team. This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used. You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.

Responsibilities:
Research, develop, and deploy advanced machine learning and deep learning models to production.
Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
Utilize NLP methodologies to extract and provide insights from patient medical records.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.

The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.

Responsibilities:
Take ownership of the entire machine learning engineering lifecycle from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

We're seeking a talented, versatile, and highly independent Full Stack Engineer with experience in mobile development to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.

Responsibilities:
Lead development processes from ideation to production.
Develop, maintain, and imperialize the products application layer (front end & back end).
Collaborate with product, medical, and software teams across the organization.
Build a customer-centric product with a deep understanding of the complex healthcare industry.

We're seeking a talented, versatile, and highly independent Full Stack Engineer to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.

Responsibilities:
Lead development processes from ideation to production.
Develop, maintain, and imperialize the products application layer (front end & back end).
Collaborate with product, medical, and software teams across the organization.
Build a customer-centric product with a deep understanding of the complex healthcare industry.

Were looking for a Data Science Team Lead to join our winning team. This is an opportunity to take a leadership role in building innovative AI products, manage a growing team of algorithm researchers, and have a major impact on the methods, infrastructure, and product capabilities.

Youll lead projects from early research to full production deployment, guiding the development of models, scalable pipelines, and services that power critical features in the platform.

Responsibilities
Lead, mentor, and grow a team of Data Scientists providing both technical leadership and professional development.
Own the full lifecycle of AI projects: from research and prototyping through production-grade deployment and monitoring.
Design and oversee the development of scalable ML pipelines, model serving infrastructure, and robust data workflows in collaboration with software engineering and product teams.
Drive initiatives to deliver LLMs and other AI models as production-grade services within the organization.
Partner cross-functionally with product managers, clinical experts, and engineers to translate business needs into AI-driven features.
Guide research in NLP, NLU, and Deep Learning domains, staying at the forefront of industry developments and incorporating new methods where applicable.
Maintain a high standard of technical execution within the team, fostering a culture of ownership, quality, and innovation.
Communicate technical findings, project status, and strategic recommendations clearly to technical and non-technical stakeholders.

We're seeking a talented, versatile, and highly independent Backend Engineer to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.

The team is focused on providing medical teams with insights and optimizing their time spent on documentation.

The teams challenge is to build a scalable AI-based product while continuously enhancing it with new features and capabilities.

Responsibilities:
Lead development processes from ideation to production.
Collaborate with product, medical, and software teams across the organization.
Build a customer-centric product with a deep understanding of the complex healthcare industry.

Have a major influence on our existing solutions as well as new ones
Make technical decisions that are critical for the company's growth
Improve your skills and learn from top-notch engineers
Connect between the existing worlds of healthcare and technology

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our company's technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team
At our company, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with Machine Learning, NLP, and computer vision. Whether its Real-Time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If youre excited about shaping the future of media tech, youll fit right in.
On your day to day
Were looking for a seasoned and driven team lead to head our NLP & Speech team. In this role, youll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in Real-Time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.
As a hands-on team lead, youll shape the technical roadmap for NLP and Speech at our company, identifying key opportunities to invest in foundational technologies and grow the team through strategic hiring and mentorship. Youll work cross-functionally with product, engineering, and design partners to ensure that advanced research translates into robust, scalable features that define the future of AI-assisted content creation.
What Will Make You Stand Out?
* M.Sc. or Ph.D. in Computer Science, Mathematics, Engineering or a related technical field.
* 5+ years of experience in NLP, Machine Learning or deep learning.
* 2+ years of experience managing ML/AI or software engineering teams
* Excellent understanding of Deep Learning and modern NLP fundamentals, including Transformers, LLMs, RAG and Agents.
* Hands-on experience with deep Learning frameworks (Pytorch, Tensorflow or JAX) and other relevant libraries (HuggingFace, vLLM, etc.).
* Experience with LLM fine-tuning and deployment at scale on distributed GPU clusters.
* Familiarity with STT / ASR models and common audio / speech processing methods.
* Strong software engineering skills in Python.
Leadership
* Proven ability to lead high-impact teams in a fast-paced applied research environment.
* Experience defining and executing ambitious technical roadmaps and contributing to strategic technical decisions.
* Passion for mentorship, team-building, and fostering a culture of innovation.
* Strong cross-functional collaboration skills and the ability to work closely with PMs, engineers, and other stakeholders.
Bottom line? If you are a passionate, hands-on R&D leader with rich research experience and deep expertise who thrives in a fast-paced, innovative environment - we want to hear from you.

We are seeking a skilled and passionate backend engineer to join the Core Technologies Team.

As a part of our dynamic team, you will contribute to the development of the foundation of our SaaS Platform. In this role, you'll immerse yourself in a stimulating, fast-paced environment where creativity and innovation are the driving forces behind your decisions. You will have the opportunity to collaborate with our major clients, significantly influencing our business outcomes. Your primary focus will be on constructing our next-generation cutting-edge data lake, concentrating on the creation of large-scale data pipelines.

Responsibilities:

Design and develop core systems and software infrastructures, collaborating with research, product, and open-source teams.

Engage closely with engineers, researchers, product owners, and designers to identify and solve complex cybersecurity problems and spearhead the development of a new product line.

Take complete ownership of projects, from initial definition and design to development, testing, and post-deployment.

Construct multi-tenant scalable microservices deployed as part of our SaaS product.

Operate within a CI/CD environment alongside experienced and talented engineers, utilizing state-of-the-art technologies.

Plan and execute PoCs to evaluate new technologies and products.

Thrive in an environment that fosters individual growth.

We are looking for a talented software engineer to join our great team, responsible for developing the frontend of our management console.

In this role, you will play a great part in extending the UI for our management console, work with product, designers and developers and bring your UI experience to our team.

In this role you will have the opportunity to improve and rebuild UI components from ground up.

We are seeking a highly skilled Senior Automation Infrastructure Engineer to join our quality engineering team and drive innovation in our automation infrastructure. This role is ideal for an experienced engineer passionate about building scalable, robust test frameworks and infrastructure that empower automation and development teams to deliver high-quality products efficiently.

As a Senior Automation Infrastructure Engineer, you will play a key role in developing and maintaining the core components of our automation ecosystem. You will collaborate with automation engineers, developers, DevOps, and QA to design and enhance infrastructure for comprehensive end-to-end, component, API, and UI testing. Your work will enable teams to accelerate their testing cycles through reliable and efficient tooling.

This is a hands-on engineering role with significant ownership and impact across multiple teams and services.

Your Role & Impact:

Design, build, and maintain scalable automation infrastructure and tools for E2E, API, UI, and component testing.

Develop and extend automation services using Python and BDD-based frameworks.

Collaborate closely with QA, DevOps, and development teams to integrate test infrastructure into CI/CD pipelines.

Identify and implement improvements in test stability, performance, and developer experience.

Build and maintain test utilities for reporting, debugging, and failure triage (e.g., log collection, dashboards).

Investigate test infrastructure issues, identify root causes, and drive resolutions to improve reliability.

Ensure infrastructure and tools support test execution across environments (e.g., Dockerized, cloud-native deployments).

Contribute to documentation, best practices, and knowledge sharing across teams.