דרושים Principal Research Scientist ב-Red Hat ב-United States, Boston

Job Summary

You’ll help accelerate the development of AI prototypes by ensuring seamless platform integration, CI/CD pipelines, and other critical infrastructure to enable high-speed experimentation and iteration.

What you’ll do

• Platform Support and Optimization: Design and maintain scalable, secure, and efficient platforms to support AI Catalyst team initiatives, ensuring smooth integration of AI models and workflows.

• Infrastructure Management: Provide expertise in Kubernetes and cloud platforms (GCP, AWS, Azure) for container orchestration, scalable deployments, and real-time operations.

• Partner with the AI Catalyst team to identify bottlenecks, remove blockers, and optimize workflows for faster delivery of AI prototypes.

• Technical Leadership: Lead the implementation of critical systems (APIs, orchestration, observability, deployment) to ensure speed, reliability, and maintainability.

• Cross-Functional Collaboration: Work closely with engineering, product, and design teams to align technical priorities and drive impactful AI initiatives.

• Mentorship: Guide and mentor engineers, fostering a culture of technical excellence, collaboration, and rapid execution.

• Demonstrate proficiency in Kubernetes for container orchestration and scalable deployments.

• Mentor senior engineers and contribute to a culture of technical excellence, velocity, and pragmatic decision-making

• Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

What you’ll bring

• 10+ years of software engineering experience

• Strong background in Python and background in C, C++, Go or Rust.

• Proficiency in RHEL or other Linux distributions.

• Communication Skills: Strong ability to communicate technical tradeoffs and bring clarity to ambiguous situations

• Passion for AI Innovation: Enthusiasm for enabling AI initiatives that drive real-world impact and accelerate prototyping efforts.

• Ability to move fast without compromising quality, thriving in environments where rapid iteration and high ownership are the norm

• PoC Experience: Proven ability to work on and deliver successful Proof of Concepts or initiatives, showcasing the ability to rapidly prototype and validate ideas.

Nice to have

• Experience with cloud platforms such as GCP, AWS, or Azure.

• experience with building and packaging Python projects, package managers (dnf, pip), and build systems (cmake, meson)

• experience in working with upstream projects and Open Source communities.

• Experience in early-stage product incubation or 0→1 product delivery

• Contributions to internal AI platforms, model evaluation frameworks, or observability for AI systems

This is a rare opportunity to help shape how our company brings AI innovation to life - bridging research and real-world usage at a moment when speed, safety, and product quality matter most. If you're energized by rapid iteration, high autonomy, and making AI tangible for millions, we’d love to talk.

• Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm

• Knowledge of AI frameworks, such as PyTorch and/or TensorFlow

• Familiarity with containerization and orchestration

• Understanding of Open Source development models

• Experience with test-base development and agile/scrum methodologies

What you will do:

• Examine new project opportunities, identify the right approach to meeting or exceeding the requirements for these projects and develop solutions with an eye toward quality, security, maintainability, supportability, performance and resilience

• Work closely with Engineering, Product Management and Support stakeholders to prioritize features and bugs during all phases of development

• Participate in the interaction with relevant hardware partners with a focus on getting key functionality included in their roadmap

• Communicate architectural concepts and decisions to various audiences

• Be a leader and mentor for more junior members of the team and help expand their skill sets

• Participate in upstream AI/ML communities with a focus on learning more about the various technologies and how they might be used within our offerings

What you will bring:

• Strong experience with RHEL or other Linux distributions

• Strong experience with software development with programming languages such as Python, Go or similar

• Problem solving and troubleshooting skills with a focus on root cause analysis

• Experience with container technologies, such as Kubernetes/OpenShift and Podman

• Hands-on learning and demonstrable experience with implementing and owning complex features individually and in collaboration with others

Nice to have:

• Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm

• Knowledge of AI frameworks, such as PyTorch and/or TensorFlow

• Familiarity with containerization and orchestration

• Understanding of Open Source development models

• Experience with test-base development and agile/scrum methodologies

What you will do:

• Serve as the direct support for IBM customer inquiries about the Red Hat OpenShift Container Platform handed over from IBM product support teams.

• Use IBM and Red Hat ticketing systems and support tools to assist customers directly.

• Analyze issues to identify problems and communicate corrective actions and resolutions to customers.

• Collaborate with support engineers, technical account managers, internal teams, and external parties during problem resolution.

• Deliver exceptional customer experience by troubleshooting various issues and recommending solutions professionally and courteously.

• Document diagnostic steps and create reusable solutions for future incidents

• Perform weekend and holiday shift duties on a rotational schedule when needed.

What you will bring:

• 3+ years of experience working as a support or development engineer for a Platform-as-a-Service (PaaS) provider or hosting service

• 3+ years of experience working with Linux or Unix operating systems, including system installation, configuration, and maintenance; Red Hat Certified Engineer (RHCE) qualification is a big plus

• Familiarity with technologies like Red Hat OpenShift Container Platform, Kubernetes, containers, IT automation, and cloud management

• Experience working with hosted applications or large-scale application deployments

• Good understanding of Linux tools with an emphasis on cURL, Git, Strace, and Wireshark

• Troubleshooting skills and a passion for problem-solving and investigation

• Outstanding communication skills in English with the ability to communicate courteously and effectively with customers, colleagues, and third-party vendors

• Ability to handle multiple priorities and work under pressure

• Commitment to providing the best experience possible for Red Hat’s customers

The following are considered a plus:

• Bachelor's degree in a technical field, preferably engineering or computer science

• Experience with technologies like Open vSwitch, JBoss, Apache Tomcat, Go, Angular.js, Node.js, Ruby, Python web frameworks, and .NET framework

• Experience with source code management tools

• Knowledge of technical support systems and tools

• Familiarity with Red Hat’s solutions portfolio and open-source software development

• Participation in open-source projects, including patches submitted for upstream inclusion

About the Job

You will be responsible for evolving and delivering our product roadmap by collaborating with customers, engineering, marketing, support, and field teams. As the accountable party for driving solution delivery, you will oversee timelines, roadmap execution, and ongoing stakeholder engagement. You will also engage with open source communities that support our container initiatives including Kubernetes, Knative, KEDA, Shipwright, Cloud-Native Buildpacks and other Cloud Native Computing Foundation (CNCF) projects.

As a Principal Product Manager, you will have strong communication, teamwork and persuasion skills. This is a great opportunity to work on a fast-growing offering alongside some of the brightest minds in open source.

What You'll Do

• Collect and document input from Red Hat OpenShift users, customers, community members and partners to understand customers’ needs; develop strategy and roadmap for OpenShift Serverless

• Research competitive solutions, commercial and do-it-yourself alternatives, documenting their relative strengths and weakness to develop competitive positioning and collect input for new releases

• Prioritize and document requirements, epics and user stories for new releases of our offerings

• Guide major enhancements of our offerings by working cross-functionally with core teams across our Engineering team and the upstream open source community

• Work with the OpenShift Engineering team and the overall Product team to manage releases and updates of our offerings and bring new Red Hat OpenShift solutions to market

• Work with our Sales teams to respond to customer inquiries; deliver customer presentations and demos and support the overall sales process

• Support sales and marketing activities including creating presentations, blogs, demos and other technical collateral for our offerings

• Review and provide feedback on the documentation for our offerings

• Participate in technical aspects of go-to-market engagements like live streams, roadshows, workshops, webinars, demos of offerings and solutions, industry and partner events, sales enablement and training

What You'll Bring

• 5+ years of enterprise software industry experience working in product management, technical marketing or a similar technical product or customer-facing role

• Strong understanding of serverless landscape and cloud-native application architectures, deployment and operations

• Strong understanding of developer experience and design principles

• Familiarity with the Kubernetes and the Cloud-Native Computing Foundation (CNCF)

• Understanding of and experience with open source projects and communities

• Proven track record of leading cross-functional teams to deliver impactful products

• Ability to think strategically, influence cross-functional teams and manage without direct authority

• Capacity to handle multiple competing priorities in a fast-paced environment

• Excellent written and verbal communication skills

• Ability to work in cross-functional environment with a distributed remote and global workforce

• Understanding of technical challenges to drive well-informed decisions with the development team

The salary range for this position is $151,170.00 - $249,390.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave

We are looking for a Senior Machine Learning Research Engineer with a strong research background and hands-on experience in building and optimizing deep learning models. In this role, you will explore and develop cutting-edge techniques in model compression, including pruning, quantization, knowledge distillation, and speculative decoding. You will help design and evaluate novel algorithms that bridge theory and real-world deployment.

Your Role and Responsibilities

As a core member of our ML research team, you will:

• Design and conduct experiments to evaluate model compression strategies for large-scale deep learning models.

• Develop scalable and modular research code in Python.

• Work closely with software engineers and product teams to translate research into deployable systems.

• Explore emerging techniques in efficient inference and help define future directions for model optimization.

• Collaborate on publications in top-tier ML/AI conferences and contribute to open-source initiatives.

• Benchmark models across hardware configurations, contributing to the broader understanding of how model optimizations affect performance in real-world deployment scenarios.

• Participate in reading groups, internal workshops, and mentoring activities.

Required Qualifications

• PhD in Machine Learning, Computer Science, Electric Engineering, Applied Mathematics, or a related field.

• Strong foundation in machine learning algorithms and numerical optimization.

• Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.

• Strong analytical and problem-solving skills.

• Experience with experimental design and empirical research, including model evaluation and benchmarking.

• Excellent written and verbal communication skills, including the ability to explain complex ideas to a technical audience.

Preferred Qualifications

• Familiarity with model compression techniques such as quantization, pruning, knowledge distillation, or speculative decoding.

• Experience contributing to open-source machine learning projects.

• Experience optimizing model performance for inference efficiency, particularly on GPUs or specialized accelerators.

• Publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR).

• Comfortable navigating large codebases and collaborating in a research-oriented engineering team.

What We Offer

• A dynamic and intellectually stimulating environment with opportunities to shape the future of efficient ML systems.

• A collaborative team that values curiosity, creativity, and impact.

• Support for academic engagement (publishing, conference travel, workshops).

• Access to high-performance computing resources and state-of-the-art ML infrastructure.

• Comprehensive benefits, flexible work arrangements, and opportunities for career growth.

The salary range for this position is $170,770.00 - $281,770.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave

Job Responsibilities

• Work with Red Hat engineers and research project teams to develop, test, deploy and operate software for distributed research environments built with OpenShift, OpenStack, OpenShift AI, InstructLab and other open source software.

• Work with Red Hat product development teams to explore and help transition selected new functionality into supported products

• Develop, deploy, upgrade, monitor and troubleshoot software in research environments such as the Mass Open Cloud Alliance, as well as other university research computing environments in North America

• Identify, track and resolve issues as part of a worldwide development team analyzing distributed systems and data using GitOps techniques and tools

• Contribute software to open source projects to help advance research computing

• As part of the CTO office, write, speak and promote software development research projects, as well as student-oriented development and education activities such as hackathons, tutorials and independent student projects.

Requirements

• Software development experience with multiple programming languages (C++, Python, Go)

• Experience with software development for distributed systems and AI systems, particularly accelerators, virtual machines and containers

• Deep expertise in at least one broad technical area (e.g. operating systems), with a demonstrated understanding of subsystems and their interactions in real-world use

• Ability to decompose large complex systems and development tasks and work as a technical leader in a distributed team to release new functionality and resolve issues with deployed systems

• Experience maintaining and contributing to linux software (Red Hat Enterprise Linux (RHEL), CentOS, or Fedora preferred)

• Detailed understanding of Agile software development processes

• Detailed knowledge of development tools, repository management, and CI/CD platforms such as Ansible

• Experience working with users and design engineers in a research or production computing environment

• Demonstrated ability to work with independence on software design and implementation, while providing technical leadership and some mentoring to a larger team of developers and system engineers

• Good oral and written communications

• PhD, Master’s or Bachelor’s degree, with work or academic project experience

The salary range for this position is $111,260.00 - $183,580.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave

What you will do

As a software engineer in this role, you will

• Develop and implement best practices for AI/ML model lifecycle management, including pre-processing, model training, serving, monitoring etc.

• Deploy AI/ML models on OpenShift AI (RHOAI), ensuring scalability, reliability, and performance.

• Work with upstream AI/ML communities to evaluate new AI/ML-related technologies from partners and create examples of integrations between their technology and RHOAI

• Build multi product demos and AI/ML workflows using Predictive and Generative AI leveraging RH product and AI stack

• Collaborate with multiple stakeholders including cross product team, AI/ML partners etc. to adjust their AI strategies, address their specific use cases, and drive value through the adoption of the RHOAI

What you will bring

• Experience in development in Python and Go

• Understanding of fundamental AI/ML concepts, algorithms, techniques and implementation of workflows

• Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments.

• Interest in learning new technologies and tools around the AI/ML landscape; problem-solving skills.

• Good written and verbal communication skills

The following are considered a plus

• Knowledge of containers and OpenShift or Kubernetes and cloud platforms (AWS, Azure, Google Cloud)

• Previous code contributions to or participation in open source projects or code samples on GitHub.

• Understanding of fundamental AI/ML concepts, algorithms, and techniques.

• Basic knowledge of data preprocessing, feature engineering, and model evaluation.

• Knowledge of AI frameworks and libraries (e.g. OpenDataHub, TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, CodeFlare, Feast etc)

• You’re willing to wear a lot of red -OR- You look good in a red t-shirt

The salary range for this position is $163,420.00 - $269,640.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave