We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary As a Staff Software Development Engineer on the team, you'll be responsible for leading efforts to end to end CI/CD pipelines, align and build clean security processes, build software applications, CLI tools, out of the box observability, and a deployment platform that enable teams across CVS Enterprise to build, test, preview, deploy and operate systems with reduced lead time and stack complexity. Specifically, this role will be focused on building out a clean CI/CD experience which includes a clean security posture for customers providing a seamless, efficient customer CI/CD experience. Additionally have a good understand with working within Cloud providers with a focus on efficient infrastructure. The engineer will have laser focus on customer experience and building out solutions that align to enterprise initiatives and team objectives delivering scalable solutions. **Ideal candidate can be anywhere in the US working remote or hybrid model in one of the hub locations in IL , TX, NY, RI, however need someone who can work in CST time zone ** Required Qualifications - 7+ years of overall backend development experience on enterprise class applications. - 6+ years of experience working as DevOps Engineer with building standardized workflows, templates, reusable pipelines , maintaining runners, runner pools , node pools. - 3+ years experience with End-to-End CI/CD i.e. Github, Github Actions, Artifact management such as JFrog. - 2+ years experience partnering with architecture, product, and program management teams to influence product development decisions. - 3+ years of experience with backend technologies, such as Java, C#, Python, Helm, Golang. - 2+ years experience with Kafka and similar technologies. - 2+ years experience with PostgreSQL or similar RDBMS experience. - 3+ years experience with large public cloud technologies i.e. GCP, Azure, AWS, etc and container orchestration tools such as Kubernetes. - 3+ years of experience with leading teams who follow a Scrum/Agile development methodology. - 2+ years of experience automating through scripting and/or CLIs. Preferred Qualifications - Experience with full stack development. - Experience with observability, Telemetry for infrastructure services. - Experience training and mentoring other engineers. - Ability to understand the performance of a largely scaled infrastructure platform. - Demonstrate Ownership and Accountability with the ability to thrive in a remote working setup with other team members. - Ability to identify customer needs and pain points and identify self-service automation solutions. - Ability to think “Out of the box” to solve complex issues for the enterprise. - Ability to present the benefits and drawbacks of various architecture designs for infrastructure. - Experience with additional tools such as Octopus, Teamcity, Jenkins is a plus. Education Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience) Pay Range The typical pay range for this role is: $106,605.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/31/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• You’ll be working on our data team focused on the quality of the datasets being delivered for training our models. • This is a hands-on role where your #1 mission would be to improve the quality of the pretraining datasets by leveraging your previous experience, intuition and training experiments. • This includes synthetic data generation and data mix optimization. • You’ll closely collaborate with other teams like Pretraining, Postraining, Evals, and Product to define high-quality data needs that map to missing model capabilities and downstream use cases. • Staying in sync with the latest research in the fields of dataset design and pretraining is key to success in this role. • You will constantly lead original research initiatives through short, time-bounded experiments while deploying highly technical engineering solutions into production. • With the volumes of data to process being massive, you'll have a performant distributed data pipeline together with a large GPU cluster at your disposal.

• Follow the latest research on LLMs, inference and source code generation • Propose and evaluate innovations, both in the quality and the efficiency of the inference • Monitor and implement LLM inference metrics in production • Write high-quality high-performance Python, Cython, C/C++, Triton, ThunderKittens, native CUDA, Amazon Neuron code • Work in the team: plan future steps, discuss, and always stay in touch

Job Details: Job Description: The Opportunity: For nearly a decade, Intel's Neuromorphic Computing Lab, together with a global ecosystem of 250+ research groups, has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach. Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems - beyond the reach of GPUs and mainstream AI accelerators. If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads. Position Overview: In this role, you will drive the design, implementation, and optimisation of Intel's neuromorphic AI software stack, and collaborate with architects and cross-functional teams to deliver robust, efficient software solutions that enable developers and customers to build high-performance physical AI applications powered by Intel's neuromorphic technology. The Organisation: As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market. Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercialising the technology in future Intel and partner products. Key Responsibilities: - Design, implement, and test components of Intel's neuromorphic AI software stack, including model optimisation, compiler, and runtime modules. - Collaborate with customers and partners to design optimised algorithms and applications. - Partner with hardware architects to optimise HW/SW co-design for performance and scalability. - Integrate neuromorphic software into leading robotics, IoT, and sensing frameworks to enable broad ecosystem adoption. - Participate in code reviews, documentation, and continuous improvement of software processes. - Assist in profiling and benchmarking software performance. Qualifications: Minimum Qualifications: - MSc or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related field. - 3+ years of experience developing AI compiler, runtime, and profiling/debugging infrastructure in frameworks like Triton, MLIR, IREE, XLA, TVM, ONNX, or OpenVINO. - 3+ years of experience architecting and implementing production-grade software systems for maintainability, using standard engineering practices (profiling, benchmarking, correctness/performance regression testing, build/toolchain discipline, CI/CD). - 5+ years of experience with production software development in Python and C/C++, including systems-level and performance-critical code. - 3+ years of experience with AI, deep learning, or optimization algorithms using frameworks such as PyTorch, JAX, or TensorFlow. Preferred Qualifications: - Expertise in low-level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL) - Familiarity with parallel computing paradigms and performance optimisation - Experience with profiling and benchmarking algorithms and hardware architectures - Knowledge of unconventional AI hardware accelerators and neuromorphic computing - Background in robotics and robotic software frameworks (ROS2, Isaac, Holoscan) - Experience defining software architecture roadmaps for emerging technologies - Prior contributions to open-source projects - Experience working in collaborative, cross-functional teams * Job posting details (such as work model, location or time type) are subject to change. Job Type: Experienced Hire Shift: Shift 1 (Netherlands) Primary Location: Virtual Netherlands Additional Locations: Business group: The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Work Model for this Role This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job posting details (such as work model, location or time type) are subject to change. *