NVIDIA jobs in Redmond, WA - 363 jobs

We are looking for an experienced and collaborative Developer Relations Manager to help accelerate adoption of NVIDIA's AI and computing platforms across global developer ecosystems. Engage with software developers, cloud providers, and tech collaborators to develop innovative solutions. Ideal candidates possess solid technical skills alongside proven expertise in go-to-market strategy, encouraging others to support developers and highlighting how NVIDIA technology can address large-scale challenges effectively. What You'll Be Doing: Assist and advocate for developers at a major Cloud Service Provider, encouraging the use of NVIDIA platforms. Accelerate key workloads by demonstrating innovative solutions that integrate the NVIDIA stack into developer tools, products, and workflows. Design and recommend technical enablement resources-such as sample code, demos, guides, and pipelines-that make NVIDIA technologies more accessible and practical for real-world use. Support partners and startups through onboarding, integration, and co-innovation within NVIDIA programs, helping them deliver breakthrough applications. Track and map developer ecosystems to uncover growth opportunities, influence technology strategies, and guide product adoption. Partner with engineering, product management, marketing, and solution architects to build developer engagement programs and optimize go-to-market approaches. Collaborate with partner technical leaders and decision-makers to align on goals, resolve challenges, and champion guidelines for reliable integrations. Represent the voice of partners by providing practical feedback and insights to NVIDIA product and engineering teams, crafting roadmaps with real-world use cases. What We Need to See: Bachelor's, Master's or PhD. degree in Computer Science, Engineering, or related field, or equivalent experience. 12+ yrs overall experience with 5+ yrs experience collaborating with cloud service providers and multinational companies. Demonstrated achievement in guiding and growing developer initiatives at technology firms, major cloud services, ISVs, or specific vertical markets. Strong technical background in high-performance computing, AI/ML, cloud, and/or industry-specific frameworks and libraries. Excellent interpersonal skills with an ability to adapt sophisticated technical ideas for diverse audiences-from engineers to executives. Experience guiding technical collaborations with engineering and product teams, including architectural reviews, mentorship, and delivering workshops or technical talks. Proven track record to lead large-scale technical projects, balance priorities, negotiate requirements, and collaborate effectively across sales, product, legal, and marketing teams. Ways to Stand Out from the Crowd: Direct experience developing or optimizing vertical-specific solutions (e.g., data pipelines, network stacks, real-time bidding systems). Familiarity with GPU acceleration and sophisticated AI platforms (CUDA, Triton, NeMo, DOCA, etc.). A track record of building systems for real-time processing and low-latency decision-making. Recognized success in growing and scaling developer communities, with measurable impact through technical enablement programs. With competitive salaries and a generous benefits package, we are widely considered to be one of the world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

A leading cloud-based solutions provider is seeking an Area Vice President (AVP) of Service Cloud to lead and grow the sales organization. This role involves setting customer acquisition strategies, fostering key relationships, and maintaining sales forecasting accuracy. The ideal candidate has over 8 years of experience in software sales, demonstrating a strong ability to lead teams and achieve revenue goals. This position offers competitive compensation and comprehensive benefits, focusing on employee well-being and professional growth. #J-18808-Ljbffr

A leading tech company in Seattle is looking for an innovative NLP researcher to advance its AI features in collaboration software. The ideal candidate will work on cutting-edge NLP research and technologies, aiming to optimize performance and scalability, while collaborating with product managers to implement features. Candidates are expected to have a strong educational background in computer science or related fields. This position offers competitive salary and comprehensive benefits. #J-18808-Ljbffr

*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategorySoftware EngineeringJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.****About the Role****Salesforce's AI Foundations team is foundational to enabling both traditional machine learning applications and AI agents at enterprise scale. This team empowers the Digital Enterprise Technology organization to build, deploy, evaluate, and operate trusted AI systems in days instead of months. As Senior Director of Engineering, you will provide unified technical leadership across the AI foundations platform stack-spanning ML infrastructure, agent lifecycle management, evaluation, observability, and governance. You will drive interoperability across platform components, operationalize a data mesh-oriented architecture, and ensure the platform delivers high reliability, strong security, and cost-efficient scalability. This role is central to aligning platform capabilities with strategic business priorities, enabling safe and rapid adoption of generative AI and predictive AI across the enterprise.****What You'll Do***** Lead the engineering of AI Foundations team that enables teams to build, deploy, evaluate, experiment on, monitor, and govern AI agents and ML models safely and at enterprise scale.* Own three core platform areas + ML Platform & Developer Productivity (training, inference, environments, cost/perf) + Model & Agent Lifecycle & Governance (CI/CD, registries, lineage, access control) + Agent Observability, Evaluation & Reliability (quality, drift, experimentation)* Make agent evaluation and experimentation default platform capabilities, ensuring every production agent and model ships with: + Offline evaluation (golden scenarios, regression suites) + Pre-deployment quality gates in CI/CD + Controlled experimentation (A/B tests, canaries, shadow traffic) + Continuous post-deployment monitoring* Drive end-to-end observability across data pipelines, retrieval, model inference, tool execution, and agent outcomes, with clear SLIs/SLOs for quality, latency, reliability, and cost.* Standardize ML and agent development workflows, reducing time-to-production and eliminating bespoke infrastructure across teams.* Partner cross-functionally with Applied AI, Data Science, Product, Security, Legal, and Responsible AI to translate business and regulatory requirements into enforceable engineering systems.* Build and lead a high-performing organization of engineering managers and senior engineers, setting a strong technical bar and culture of operational excellence.### ****Required Skills***** 15+ years of engineering experience, with 7+ years leading platform or infrastructure teams in ML, data, or AI-heavy environments.* A master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or equivalent industry experience.* Proven experience with ML and platform infrastructure, including Kubernetes-based systems, CI/CD, distributed systems, and observability stacks (metrics, logs, tracing).* Expertise in generative AI, ML algorithms, and frameworks such as Hugging Face, Tensorflow, PyTorch, etc.* Experience with cloud platforms (e.g., AWS, GCP) and distributed computing frameworks (e.g., Spark, Hadoop).* Hands-on familiarity with experimentation frameworks, such as A/B testing, canaries, and shadow deployments, and integrating experiments into ML/agent pipelines.* Experience building evaluation systems for models and agents, including offline tests, regression suites, online monitoring, and LLM-as-a-Judge-style approaches.* Strong background in AI agents and LLM systems, including tool use, multi-step workflows, RAG, prompt and policy management, and common agent failure modes.* Experience with data and ML platforms (e.g., Snowflake-centric workflows, feature stores, training pipelines).Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### ### ### At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $239,500 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.### ### ### ### #J-18808-Ljbffr

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques. **Your Impact** As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks. You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco. **Minimum Qualifications** + Currentlyenrolled in an undergraduate degree program. Relevant fieldsinclude:Relevant fieldsinclude:Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, ora relatedprogram. + Proficiencyin software development, with experience in relevant programming languages (such as Python and Go) and associated tools. + Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy). **Preferred Qualifications** + Experience working with inference engines (e.g.,vLLM, Triton,TorchServe) for LLM serving and optimization. + Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models. + Familiarity with agentic AI concepts, agent frameworks, and related applications. + Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow,PyTorch, or Hugging Face Transformers), asevidencedby academic, project, or professional work. + Understanding ofmachine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work. ProductIntern26 **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

A leading technology firm in Seattle is looking for a Principal Member of Technical Staff to support system design, debug and engage with customers on their AMD Instinct™ product line. This role involves leading hands-on validation efforts, optimizing Rack-Scale AI solutions, and influencing product roadmaps. The ideal candidate will have extensive experience in system architecture and debugging, along with relevant academic credentials. The position offers opportunities to mentor and drive technical excellence in a collaborative team environment. #J-18808-Ljbffr

Meet the Team We are an agile team with a startup feel and a strong bias for action. We move fast, embrace failure as part of the process, and stay focused on solving real‑world problems for defenders on the front lines. Our team blends deep expertise in AI, cybersecurity, and platform engineering. We are driven by a shared belief that the only way to outpace hackers is through AI advancements that free up humans to tackle real threats and more challenging problems. This is a place for builders who thrive in ambiguity, challenge the status quo, and care deeply about making a meaningful impact. If you're energized by tough problems, excited to shape the future of cyber defense, and eager to work alongside passionate experts, you'll feel right at home. Your Impact Design and build agentic workflows that combine detection signals, context, and playbooks to automate threat triage and response. Prototype and test new AI features -from enrichment agents to incident summarization-working closely with security SMEs to validate real-world utility. Develop an AIOps pipeline to enable rapid experimentation with prompts, models, and RAG systems, using clear, measurable success criteria to evaluate iterations. Evaluate model outputs for accuracy, reliability, and usability, then prototype and deploy improvements based on structured feedback and testing. Collaborate with product and platform teams to co‑design AI‑enhanced TDIR workflows that are intuitive, scalable, and immediately useful to analysts. Contribute to the core architecture powering AI‑native security operations, helping to shape how Splunk and Cisco scale trusted automation across the enterprise. Minimum QualificationsSecurity: Security Operations Experience - Understanding of security operations concepts, including detection, triage, investigation, and response. Security Telemetry Fluency - Comfortable working with common data sources such as endpoint logs, network traffic, authentication events, or cloud audit trails-and understanding how they're used in detection and investigation workflows. Engineering Experience: Senior‑Level Python Development - Consistent record building scalable backend services, APIs, and automation workflows in Python. DevOps/SecOps Practices - Proficient with CI/CD pipelines, version control (GitHub/GitLab), Jira, and automated testing frameworks. Security Automation - Experience building and integrating with product APIs to drive SecOps efficiency. Cross‑Functional Collaboration - Comfortable partnering with product managers, security SMEs, and engineers to iterate quickly and deliver impactful solutions. AI/LLM: Prompt Engineering & LLM Integration - Skilled in crafting, testing, and optimizing prompts for large language models. Ideally, you have contributed to or shipped an AI‑powered feature or product, and understand the nuances of integrating LLMs into real‑world workflows-including usability, performance, and trust considerations. AI Evaluation & Experimentation - Capable of designing experiments to evaluate LLM output for accuracy, usability, performance, and cost Preferred Qualifications SOAR/SIEM Familiarity - Experience working with security data and/or tools such as SIEM/SOAR platforms (e.g., Splunk), whether from a practitioner, developer, or automation perspective. Splunk Enterprise Security (ES) Experience - Familiarity with ES architecture, correlation searches, notables, and risk‑based alerting. Bonus if you've worked with Splunk's APIs, internals, or have experience developing on the Splunk platform. Security Operations Background - Former Tier 3 SOC analyst or equivalent, with experience automating SecOps workflows and building scalable, resilient detection infrastructure. RAG and Vector Search Implementation - Hands‑on experience developing retrieval‑augmented generation pipelines and working with vector databases (e.g., FAISS, Pinecone). LLM Fine‑Tuning and Embeddings - Exposure to fine‑tuning large language models or generating custom embeddings for domain‑specific tasks in cybersecurity. Security Data Engineering - Experience building and maintaining pipelines for ingesting, parsing, and normalizing large‑scale security telemetry. UX and Human Factors for Analysts - Background or interest in designing intuitive, AI‑assisted analyst workflows with a focus on usability, trust, and decision support. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $291,500.00 to $369,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $291,500.00 - $424,400.00 Non‑Metro New York state & Washington state: $259,400.00 - $377,600.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affidavit Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr

**Meet the Team** Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. **Your Impact** + Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. + Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. + Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. + Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. + Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. **Minimum Qualifications:** + PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. + Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. + Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) + Experience translating research ideas into production systems. **Preferred Qualifications:** + Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. + Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. + Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. + Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. + Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. + MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. + Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is open until further notice. Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received. Meet the Team The Cisco AI Research team is composed of AI research scientists, data scientists, and network engineers with deep subject matter expertise. This diverse group collaborates on both foundational and applied research projects, driven by the challenge of connecting people and devices at a global scale. The team is newly formed and dynamic, blending AI and networking domain experts who work closely with engineers, product managers, and strategists experienced in AI and distributed systems. Members have the opportunity to shape the culture and direction of this growing team. Your Impact As a Data Scientist you will design and develop methods and systems to consolidate, analyze, and derive insights from large, unstructured data sources. You will partner with product and service teams to identify key questions, develop algorithms and automated processes, and communicate findings to drive business and product enhancements. * Design, develop, and program processes and systems for consolidating and analyzing diverse "big data" sources to generate actionable insights. * Collaborate with product and service teams to identify analytical questions and conduct experiments. * Develop software programs, algorithms, and automated solutions to cleanse, integrate, and evaluate large datasets from multiple sources. * Interpret and communicate insights and findings from data analysis and experiments to technical and business stakeholders using strong data visualization skills. * Support the deployment of data science models into production and contribute to ongoing feature development and optimization. Minimum Qualifications * Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field. * 5+ years of experience working with large-scale data analysis or related field (or advanced degree with equivalent experience). * Proficiency in at least one programming language such as Python or R. * Experience with data cleansing, integration, and statistical analysis techniques. * Ability to communicate technical findings clearly to both technical and non-technical stakeholders. Preferred Qualifications * Master's or PhD in a relevant field (e.g., Data Science, Computer Science, Statistics). * Experience with advanced analytics tools and big data platforms (e.g., Spark, Hadoop). * Knowledge of machine learning, natural language processing (NLP), or related advanced science techniques. * Proven ability to develop strong data visualizations and present complex data insights effectively. * Experience contributing to patent applications, publications, or research projects. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $155,900.00 to $214,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Are you a passionate designer ready to imagine, iterate, and execute across multiple design directions and workflows? Are you someone who favors interactive prototypes over flat mockups? Perhaps someone who also has a keen business sense and the ability to craft design directions that are creative and scale Adobe's design products? This is your opportunity to join a dynamic growing team, think holistically about design, and help build the future of creative tools for creative people just like you. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities. What You'll Do * Have meaningful ownership. You'll make important decisions about the way our product looks, feels, and behaves. * Critique and be critiqued. We value a positive personality who can give and take healthy feedback, encourage and develop the team's ideas, and generally leave ego out of it. * Help drive the design process. From early vision concepts, to wireframes, to visual design and on to pixel-perfect delivery, our team does it all. * Understand and advocate for our users. Work with researchers and product managers from customer discovery to detailed usability testing, always putting our users first. * Grow. You'll sharpen your skills, take ownership of important aspects of the design, and help evolve our team as we continue to learn and tune our process. * Collaborate. You'll be part of a communicative, healthy, product development family that includes products managers, engineers, researchers and other designers. * Ship. We ship. You'll have multiple opportunities to bring the hypothetical to the actual and enjoy seeing your work in the hands of millions. What You Need to Succeed * Currently enrolled full time and pursuing a Bachelor's or Master's in interaction design, new media design, HCI, or a related design field; or equivalent experience required with an expected graduation date of December 2026 - June 2027 * Previous project, internship or work experience in UX/UI design or related fields. * Experience working in teams with many moving parts. * Experience working with or conducting your own research, presenting results, and acting on those results. * Awareness of how visual design languages and UI frameworks affect the design process. * Strong interpersonal, written and oral communication skills. * Desire to be part of a fun, tight-knit team. * Love for all things design. * Ability to participate in a full-time internship between May-September Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $38.00 -- $51.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

A leading tech company is seeking a Director of Product Marketing to lead product marketing for key pillars. The role involves product launches, developing messaging, and delivering sales enablement. Ideal candidates should have over 8 years of experience, excellent communication skills, and a proven track record in crafting technical narratives. This position offers a competitive salary range of $161,500 to $257,600 annually, along with strong benefits to support work-life balance. #J-18808-Ljbffr

NVIDIA is looking for outstanding software engineers to help us expand our enterprise GPU management and monitoring tools. In this role you will work closely with the broader NVIDIA team to design and build Linux-based management agents, CLI tools and end-to-end integration solutions that combine GPUs with the rest of the data center software management ecosystem. You will also help maintain our containerized build environment, build process, CI/CD pipelines and infrastructure, and packaging. We are focused on supporting NVIDIA products across HPC, cloud and enterprise on both bare metal and virtualized platforms as the role of GPUs in all of these environments expands rapidly. Your contributions will span many aspects of GPU system integration, including telemetry and metrics, health checks, diagnostics, configuration, accounting and policy. These tools fill roles of both passive background monitoring and active online management with a core emphasis on operational transparency and seamless integration in customer environments. Your code will support single node developer systems through large clusters with thousands of nodes. To be successful you will need to have a strong Linux C/C++ background, familiarity with distributed software development and a proven work ethic. You will be expected to jump in quickly and provide important contributions from day one. This is a dynamic work environment with many exciting opportunities awaiting. NVIDIA GPUs are central to many hot trends in the enterprise, cloud and datacenter. Come join us as we craft the future of accelerated compute and AI. What you'll be doing: * Develop robust, scalable C++ user space data center management system software under Linux * Build and maintain user-space libraries, agents, plugins, bindings and CLI tools * Enable GPU management integration with the OSS ecosystem, including Kubernetes and Docker * Maintain build and CI/CD processes to deliver our product on CUDA-supported OSes. * Support internal and external users through bug fixes, documentation and feature improvements * Maintain high quality products through robust test coverage and smart design What we need to see: * BS or higher in Computer Science or equivalent experience. * 5+ years of meaningful industry experience with a strong C++ development background * User space development and debugging expertise under Linux environments * Experience packaging software for Linux package managers (DEB and RPM) * Experience using Kitware utilities to manage builds (CMake, CPack, CTest) * Experience with APIs and interface design * Outstanding written and verbal interpersonal skills. Strong motivation and commitment to learn new skills * Ability to execute all aspects of the software development lifecycle. Ability to manage time in a fast, heavily multitasked environment Ways to stand out from the crowd: * Development experience with python, go, and rust. Experience developing CI/CD pipelines using GitLab-CI, GitHub Actions, or Jenkins * Experience developing containerized environments using Docker (buildx, bake, BuildKit), Exposure to GPU programming with CUDA * Experience developing playbooks, roles, and modules for Ansible configuration. Experience with RESTful web services using CLI tools NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 22, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategoryCustomer SuccessJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Cloud Success is a specialized team within Customer Success, bringing together technical architects, customer support engineers, and product advisors. This team delivers expert guidance on optimizing and demonstrating Salesforce technology to drive long-term business success, in addition to resolving technical issues. Success Architects are a pivotal part of the Cloud Success team, supporting Salesforce's most critical and strategic customers. They provide expert guidance on solution design, focusing on scalability, security, and adherence to standard methodologies. By assessing system performance, they help to optimize efficiency and reliability while proactively identifying risks and recommending improvements to maintain technical health. Success Architects empower businesses to maximize their Salesforce investment by aligning technology with core business goals. The Industry Success Architect collaborates across Customer Success and the Product organization to drive long-term customer solutions. This includes resolving immediate technical challenges with support engineers while identifying root causes, partnering with customer success managers on strategic guidance and long-term technology health, and liaising with product teams to surface customer feedback for product improvements.## Key Responsibilities:As an Industry Success Architect, you will specialize in multiple Industry Clouds with primary, secondary, and tertiary areas of expertise. You will:* **Drive Customer Impact** - Partner with our most strategic and high-priority customers, assessing their Industry Cloud implementations and delivering expert recommendations on technical architecture, solution design, application lifecycle management, reliability, and feature adoption.* **Lead with Multi-Cloud Expertise** - Serve as a trusted Subject Matter Expert (SME) in your designated Industry Clouds, providing both proactive and reactive guidance on architecture, technology strategy, thought leadership, and product best practices. You will help the team stay at the forefront of Industry Cloud innovations, ensuring they are equipped with the latest product developments and emerging trends.* **Communicate with Clarity** - Simplify complex technical concepts for diverse audiences, from technical teams to executive leadership, positioning yourself as a trusted advisor in key business and technology discussions.* **Innovate & Solve Problems** - Identify capability gaps and design inefficiencies, recommending product enhancements or creative custom solutions that drive customer success and long-term adoption.* **Execute Proven Strategies** - Leverage and tailor Success Architect playbooks to meet the unique challenges and opportunities of your Industry Cloud customers.* **Build Strong Relationships** - Collaborate with internal and external partners, fostering connections that drive customer success, product improvement, and overall business growth.## Required Multi-Cloud Aptitude:We are looking for individuals with expertise spanning multiple Industry Clouds (Primary, Secondary, and Tertiary) from the following list. Prioritization of these clouds is geographically diverse, but we are primarily seeking skills in:**Industry CloudCommon Known Modules/Components****Life Sciences Cloud:**Clinical, Medical, Commercial, Patient Services, Life Sciences Cloud for Customer Engagement, Data Model, Business APIs, Platform Events.**Public Sector:**Benefit Management, Grants Management, Licensing and Permit Management, Intelligent Document Automation, Discovery Framework, Decision Tables, Recruitment (Job Applications, Screening, Evaluation).**Financial Services Cloud:** Data Model, Actionable Relationship Center (ARC), Discovery Framework, 360-Degree Customer View, Client and Household Management, Action Plans and Task Management, Service Process Automation, Unified Data Model, Financial Insights.**Revenue Cloud & Billing:**Configure, Price, Quote (CPQ), Billing, Revenue Lifecycle Management, Usage Rating & Digital Wallet, Invoicing Engine & Document Production, Accounting Subledger, Advanced Approvals.**Manufacturing Cloud:** Manufacturing Cloud for Sales, Manufacturing Cloud for Service, Modernize Commercial Operations, Transform the Service Experience, Simplify Partner Engagement, Rebate Management.**Automotive Cloud:** Connected Vehicles, Vehicle Telematics (Actionable Event Orchestration, Telemetry Definition), Remote Door Lock and Unlock, Remote Vehicle Notifications, Asset Milestone, Asset Title, Asset Warranty, Claim.## Basic Requirements:### 1. Solution Design & Architecture* 8+ years of experience in software, system, or enterprise architecture.* Expertise in Salesforce products, platform capabilities, technical governance, and best practices.* Experience with large-scale, complex implementations, including SaaS, PaaS, multi-tenancy, and multi-tiered infrastructure.* Strong knowledge of enterprise application integration, covering process orchestration, master data management, AI, analytics, and security best practices.### 2. Communication & Leadership* Ability to assess business objectives, propose solution options, and drive stakeholder alignment.* Strong written and verbal communication skills, with the ability to present complex technical concepts to both business and executive audiences.* Skilled in creating clear, visually compelling design documents for diverse stakeholders.* Proven ability to lead discussions, influence decision-making, and advocate for best practices.### 3. Strategic Thinking & Problem Solving* Ability to identify design inefficiencies, recommend optimizations, and drive customer transformation.* Provide data-driven insights on customer success stories and industry trends.* Passion for continuous learning and staying ahead of emerging technologies.## Desired Technical Skills:* **Secure & Scalable Architecture:** Expertise in role hierarchy, sharing rules, profiles, permission sets, and security configurations. Proven ability to design scalable, high-performance architectures aligned with Salesforce best practices, including Large Data Volume (LDV) considerations.* **Salesforce Development:** Hands-on experience with APEX programming, Visualforce, and Lightning Web Components (LWC). Familiarity with governor limits and best practices for efficient code execution.* **Data Management & Integration:** Proficient in designing and managing data models, validation rules, and data governance best practices. Experience with data import/export, ETL tools, and integrating Salesforce with external systems via REST/SOAP APIs and middleware (e.g., MuleSoft).* **System Integration & Extensibility:** Strong understanding of integrating Salesforce with other enterprise systems using APIs, middleware, and event-driven architectures. Experience working with OAuth, Platform Events, External Objects, and tools like Salesforce Connect.* **OmniStudio Knowledge:** Experience with OmniStudio components is highly desirable.## Certifications:* **Required:** Salesforce Admin, Salesforce Advanced Admin.* **Highly Desired:** Certified Architect Credentials (Application and System Architect), Platform App Builder, Platform Developer 1, and an Accredited Professional credential in at least one Industry Cloud #J-18808-Ljbffr

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity The CSC Business Consultant is responsible for leading customers through business transformation as they adopt Adobe's Content Supply Chain solutions. They act as the strategic partner to the customer - defining organizational taxonomy and metadata, configuring metadata flows, translating business goals into technical workflows, and helping to define the operating models to align with technical execution. This role will also partner with various business functions to ensure organizational readiness for platform adoption. The Business Consultant focuses on the people and process side of transformation - business requirements, governance, change management, enablement - not on writing code or configuring systems. As a result of the Sr. Business Consultant's work, the customer will benefit from a clearly defined future-state operating model, with workflows that are well documented, adopted, and linked to measurable business outcomes. Throughout the engagement, the Sr. Business Consultant will ensure stakeholders are guided confidently through each phase, while risks and roadblocks are proactively identified and communicated. What You'll Do Customer Strategy & Process Design * Lead discovery workshops to understand current-state content creation, planning, production, and delivery processes Bring industry knowledge and CSC experience to provide a prescriptive approach to achieve customer goals by leveraging Adobe's solutions * Partner in defining future‑state workflows that optimize value across the Adobe stack of technologies (Workfront, Assets, and all other connected CSC technologies) * Translate customer goals into actionable business requirements and acceptance criteria * Partner with the Technical Consultant to ensure business requirements are implemented accurately Change Management & Governance * Support change readiness including stakeholder mapping, communication planning, and adoption strategy * Provide input to governance models, intake processes, roles & responsibilities, and approval paths * Build and deliver customer enablement materials (playbooks, SOPs, process documentation) Content Strategy * Define and configures metadata flows across the content supply chain * Define organizational Metadata & Taxonomy in accordance with Adobe's relevant vertical best-in-class taxonomy * Focus on Asset Management Use Cases with AEM and the related interactions with Workfront * Promote successful Asset Lifecycle & System Governance Program Execution * Manage and inform the project delivery roadmap, scope, risks, and decisions in partnership with Project Management and Engagement Leads * Facilitate executive readouts, showcasing progress, value, and adoption * Work with customer to capture benchmark data and define KPI to be used to measure program success * Track measurable business outcomes and ensure customer value realization * Define capabilities and value/adoption backlog aligned to a value and adoption roadmap What You Will Need * 7+ years in business consulting, business analysis, or marketing operations roles. * Deep knowledge of modern marketing technology product stack with concentration in relevant Adobe products (Adobe Experience Manager, Workfront, and Fusion) * Deep understanding of marketing workflows and/or content production lifecycles * Ability to translate ambiguous requirements into structured workflows * Exceptional facilitation, presentation, and executive communication skills * Comfortable navigating change, resistance, and stakeholder alignment * Willingness to travel up to 50% Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $134,400 -- $245,300 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $169,400 - $245,300 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

We are seeking a motivated Technical Account Manager or hardware engineer with soft skills, passionate about HPC data center and networking technologies, comfortable working with enterprise customers to provide comprehensive solutions for sophisticated installations, maintenance, or operations for a broad scope of groundbreaking networking products. You will be a main point of contact for our customers; assisting them with technical inquiries, debugging, and resolving their issues. As a member of our TAM team, you are a meticulous, proficient communicator who is fundamentally interested in helping our customers succeed, taking ownership in resolving issues, and ensuring a high level of customer satisfaction is maintained and delivered. A significant part of the role is also to interact with Engineering, Marketing, and Support teams regularly. What you will be doing: * Work on-site with NVIDIA Enterprise customers in the Seatle area to resolve sophisticated technical issues and customer concerns through meticulous research and reproduction for customers installing our products with a focus on Infiniband, next-generation AI, and HPC server technologies. * Own and resolve customer issues during installation, operation, maintenance or product application or interoperability with other vendors * Work with the latest hardware (e.g. GPUs, AI accelerators, high-speed interconnects) and software technologies such as ML frameworks and tools like Spark, Kubernetes, and Ceph. * Bringing independent analysis, communication, and problem-solving skills to improve customers' experiences. * Author and incorporate technical solutions into our knowledge base * Be a technical resource, develop, re-define and document standard methodologies to share with internal teams (Support / R&D) for support processes and improvements. What we need to see: * 8+ years in providing in-depth customer support and debugging for hardware and software products. * Bachelors degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or related field * Profound knowledge and experience with Linux and Networking (LFCS / RHCSA) * Expertise with data center virtualization (VMWARE, Docker, Kubernetes) concepts and trends. * Exceptional interpersonal skills with the ability to maintain and lead the overall resolution for any critical issue raised by our customers, under all circumstances. * Superb communication and presentation/oral skills * Strong organizational skills and able to prioritize / multi-task easily with limited supervision. Ways to stand out from the crowd: * Experience in solving problems in large-scale HPC network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN), RoCE and QoS Concepts * Experience as a developer and/or support escalation team member for large enterprise/service provider customers at a company that produces AI and data analytics software * Scripting in Python, bash, Ansible, yaml, etc * Background with developing or debugging AI and data analytics software. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

This role can be performed from Washington, Oregon, any western states, or Vancouver, Canada. Meet the Team Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. Your Impact The Account Executive will play a crucial role in driving significant revenue growth for Splunk Commercial accounts. You will establish a strategic vision and plan for pipeline generation, consistently meet license, support, and service revenue targets, and directly impact customer experience. This role offers a dynamic environment where hardworking, driven sales professionals can contribute from day one while accessing opportunities for continuous learning and growth. In addition you will: Drive revenue growth and expand a geo-based territory by engaging both existing customers and new prospects to contribute directly to the organization's financial goals. Collaborate with business partners to develop compelling enterprise solutions that articulate clear value and return on investment across multiple decision-makers, enhancing cross-team alignment and customer success. Influence the customer experience by enabling high transactional velocity and delivering impactful sales outcomes that support the company's mission to empower technology adoption. Seize unique opportunities for continuous learning and professional growth within a supportive environment that values innovation and individual contribution from day one. Define success by consistently meeting or exceeding sales targets, fostering strong customer relationships, and contributing to the overall market presence and revenue share of the organization. Minimum Qualifications 3+ years of SaaS sales experience, which includes experience in a discrete quota carrying role, or similar role Preferred Qualifications Demonstrated understanding of how Splunk products and services address customer challenges. Proven track record of consistently exceeding sales targets. Expertise in consultative and solution selling methodologies, including MEDDPICC and Value Selling. Strong skills in territory planning, forecasting, and managing a full sales cycle. Excellent critical judgment to analyze complex situations, assess risks, and develop creative solutions. Effective negotiation, communication, and presentation skills, with confidence engaging C-level executives. Relevant experience in software industry domains such as IT systems, enterprise management, DevOps, security, business applications, or analytics. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $136,000.00 to $187,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $136,000.00 - $204,000.00 Non-Metro New York state & Washington state: $136,000.00 - $204,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI and Data infrastructure tools and services. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. We are seeking excellent Software Engineers to design and develop tools for AI application performance analysis. Your work will enable AI researchers to work efficiently with a wide variety of DGXC cloud AI systems as they seek out opportunities for performance optimization and continuously deliver high quality AI products. Join our technically diverse team of AI infrastructure experts to unlock unprecedented AI performance in every domain. What you'll be doing: * Develop AI performance tools for large scale AI systems providing real time insight into applications performance and system bottlenecks. * Conduct in-depth hardware-software performance studies * Define performance and efficiency evaluation methodologies * Automate performance data analysis and visualization to convert profiling data into actionable optimizations * Support deep learning software engineers and GPU architects in their performance analysis efforts * Work with various teams at NVIDIA to incorporate and influence the latest technologies for GPU performance analysis What we need to see: * Minimum of 8+ years of experience in software infrastructure and tools * BS or higher degree in computer science or similar (or equivalent experience) * Adept programming skills in multiple languages including C++ and Python * Solid foundation in operating systems and computer architecture * Outstanding ability to understand users, prioritize among many contending requests, and build consensus * Passion for "it just works" automation, eliminating repetitive tasks, and enabling team members Ways to stand out from the crowd: * Experience in working with the large scale AI cluster * Experience with CUDA and GPU computing systems * Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX/XLA etc.) * Deep understanding of the software performance analysis and optimization process NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The application window is expected to close on: 01/16/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi-cloud environments. Join the Code Generation group, where we work on automating the code generation process using GenAI techniques. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience, designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact-driven innovation, and cross-functional collaboration, all within a flexible, growth-oriented environment. Your Impact As a Staff Applied Scientist, you will: * Design, build, and deploy advanced AI models for intelligent code generation, contributing across model architecture, experimentation, evaluation, and integration into production systems. * Push the boundaries of agentic GenAI by developing models that not only generate code but also reason, plan, self-correct, and interact with tools, APIs, and execution environments to improve reliability and usability. * Enhance code-generation capabilities for DSLs and structured languages, helping shape the next generation of developer experiences powered by LLMs in both interactive and automated workflows. * Optimize training and inference workflows through efficient data pipelines, distributed training strategies, and model-level performance improvements to ensure low latency, high accuracy, and cost-effectiveness. * Partner closely with engineering and product teams to ensure research outcomes are aligned with customer needs and translate into scalable, high-impact product features. * Contribute to the scientific culture of the team, sharing best practices in rigorous experimentation, reproducibility, evaluation design, and documentation. * Participate in long-term AI innovation by identifying emerging opportunities, proposing new directions, and shaping roadmap priorities in collaboration with research and engineering leaders. Minimum Qualifications * PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field with 2+ years of industry or post-doctoral research experience; or a Master's degree with 6+ years of relevant applied ML or research experience. * Demonstrated expertise in at least one of the following: * Large language models for program synthesis, code understanding, or formal languages * Multi-step planning or agentic AI for developer workflows * Strong programming proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. * Experience translating research prototypes into production systems, including deployment, optimization, and performance evaluation. * Working knowledge of experimental design, benchmarking, reproducibility, evaluation metrics, and scientific documentation. Preferred Qualifications * LLMs for Code Generation - Experience training, fine-tuning, or adapting models such as Code-LLaMA, CodeT5, StarCoder, or GPT-based code models for program synthesis, bug fixing, refactoring, test generation, static/dynamic analysis, or domain-specific languages (DSLs). * Domain-Specialized Modeling - Experience building models for structured languages such as SQL, DSLs, configuration languages, or proprietary query/automation languages. * Agentic AI & Tool Use - Experience developing systems where models plan, call tools/APIs, self-correct, or execute code iteratively to improve output quality. * Structured Reasoning & Planning - Familiarity with techniques such as chain-of-thought prompting, constrained decoding, self-debugging, or reinforcement learning for code-centric tasks. * Large-Scale Training & Optimization - Experience with distributed training or inference optimization (quantization, LoRA, batching, caching) to improve latency, cost, and accuracy trade-offs. * MLOps & Continuous Evaluation - Exposure to automated retraining, dataset versioning/curation, evaluation harnesses, and reliability monitoring for ML models in production. * Research Visibility - Publications in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL, AAAI, KDD) and/or meaningful contributions to the LLM/code-gen research community (open-source, tools, datasets, or benchmarks). Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $193,800.00 to $245,300.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $212,300.00 - $317,100.00 Non-Metro New York state & Washington state: $193,800.00 - $282,100.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

NVIDIA is at the forefront of the generative AI revolution. We are looking for a Software Engineer, Performance Analysis, and Optimization for LLM Inference, to join our performance engineering team. In this role, you will focus on improving the efficiency and scalability of large language model (LLM) inference on NVIDIA Computing Platforms through compiler and kernel-level analysis and optimizations. You will work on key components that span IR-based compiler optimization, graph-level transformations, and precompiled kernel performance tuning to deliver innovative inference speed and efficiency. As a core contributor, you will collaborate with groups passionate about compiler, kernel, hardware, and framework development. You will analyze performance bottlenecks, develop new optimization passes, and validate gains through profiling and projection tools. Your work will directly influence the runtime behavior and hardware utilization of next-generation LLMs deployed across NVIDIA's data center and embedded platforms. What you'll be doing: * Analyze the performance of LLMs running on NVIDIA Compute Platforms using profiling, benchmarking, and performance analysis tools. * Understand and find opportunities for compiler optimization pipelines, including IR-based compiler middle-end optimizations and kernel-level transformation s * Design and develop new compiler passes and optimizations techniques to deliver best-in-class, robust, and maintainable compiler infrastructure and tools. * Collaborate with hardware architecture, compiler, and kernel teams to understand how firmware and circuitry co-design enables efficient LLM inference. * Work with globally distributed teams across compiler, kernel, hardware, and framework domains to investigate performance issues and contribute to solutions. What we need to see: * Master's or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience. * Strong hands-on programming expertise in C++ and Python, with solid software engineering fundamentals. * Foundational understanding of modern deep learning models (including transformers and LLMs) and interest in inference performance and optimization. * Exposure to compiler concepts such as intermediate representations (IR), graph transformations, scheduling, or code generation through coursework, research, internships, or projects. * Familiarity with at least one deep learning framework or compiler/runtime ecosystem (e.g., TensorRT-LLM, PyTorch, JAX/XLA, Triton, vLLM, or similar). * Ability to analyze performance bottlenecks and reason about optimization opportunities across model execution, kernels, and runtime systems. * Experience working on class projects, internships, research, or open-source contributions involving performance-critical systems, compilers, or ML infrastructure. * Strong communication skills and the ability to collaborate effectively in a fast-paced, team-oriented environment. Ways to stand out from the crowd: * Proficiency in CUDA programming and familiarity with GPU-accelerated deep learning frameworks and performance tuning techniques. * Showcase innovative applications of agentic AI tools that enhance productivity and workflow automation. * Active engagement with the open-source LLVM or MLIR community to ensure tighter integration and alignment with upstream efforts. NVIDIA is recognized as one of the world's most desirable engineering environments, built by teams who value technical depth, innovation, and impact. We work alongside some of the best minds in GPU computing, systems software, and AI. If you're driven by performance, enjoy solving sophisticated problems, and thrive in an environment that rewards initiative and technical perfection, we'd love to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.