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Job Description Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor). We are seeking an experienced Data Practice Lead to design and implement scalable, enterprise-grade AI and data solutions. The ideal candidate will have deep technical expertise in artificial intelligence, data science, and cloud platforms, along with a proven ability to translate business needs into innovative, high-performing architectures. Key Responsibilities: -Define and implement end-to-end AI and data Practice Lead for enterprise-scale applications. -Design data pipelines, ETL workflows, and data models to support machine learning and analytics solutions. -Architect Agentic AI and Generative AI solutions, ensuring scalability, performance, and security. -Collaborate with product managers, data scientists, and engineering teams to design robust, production-ready AI models. -Establish best practices for MLOps, data governance, and cloud-native deployments. -Evaluate and integrate emerging AI frameworks, tools, and cloud services (Azure, AWS, GCP). -Provide technical leadership and architectural guidance to engineering teams across multiple projects. -Partner with stakeholders to align technology strategy with business goals and drive innovation Technical Skills: -Experience architecting AI/ML SaaS solutions with high revenue impact. -Familiarity with CrewAI, LangChain, and RAG-based GenAI architectures. -Certifications in Big Data, Machine Learning, or Cloud Architecture Company DescriptionRysun is an AI, Data and Digital Innovation company. A partner of choice for leading enterprises globally, raising the bar for business strategy with technology solutions that create remarkable experiences and outcomes for our clients and their customers.Rysun is an AI, Data and Digital Innovation company. A partner of choice for leading enterprises globally, raising the bar for business strategy with technology solutions that create remarkable experiences and outcomes for our clients and their customers.

Job Description Scientific Programmer – Join an Innovative Tech Team Location: Santa Clara, CA Are you a smart, creative, and motivated programmer looking to make an impact in cutting-edge wireless technologies? We’re seeking a Scientific Programmer to join a research-focused team working on next-generation location solutions. WHAT YOU’LL DO: • Maintain and adapt existing C/C++ location engine code for next-gen wireless technologies, • Explore new concepts like GPU acceleration to improve efficiency and scalability, • Develop and support Python tools for research and data analysis, • Implement new algorithms in Python and assist with geolocation dataset analysis WHAT WE’RE LOOKING FOR: • Degree in Computer Science, Engineering, or related field, • At least 3+ years of experience programming in C/C++ and Python for scientific, analytical, or computational software, • Strong skills in numerical algorithms, simulations, and data-processing pipelines, • Familiarity with machine learning frameworks (scikit-learn, PyTorch, TensorFlow) is a plus, • Experience with performance profiling, memory optimization, and parallelization, • Strong software engineering practices: version control, unit testing, modular design, documentation, • Excellent analytical, math, and statistics skills, • Bonus: experience with Matlab, Java, Kotlin, Scala WHY JOIN US? • Work on next-generation wireless technologies that power global location solutions, • Be part of a collaborative, research-driven team in a fast-paced environment, • Opportunities to innovate, optimize, and implement high-impact algorithms, • If you’re ready to bring your programming expertise to real-world, high-tech applications in wireless research, we want to hear from you! Apply Today! We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities. req25-00925

Position Summary... Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, extensive selection that our customers value, whether they shop online through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you’ll do • Lead the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast., • Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting., • Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts., • Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions., • Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines., • Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray)., • Strong foundation in Time Series Forecasting, Causal Inference, Statistical Analysis, and advanced Machine Learning methods, • Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios., • Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions., • Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries., • Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods)., • Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring., • Background in retail, e-commerce, or operations analytics. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Recruiter name: Ajeet Kumar Recruiter’s email id : JobDiva ID :: JobDiva # 25-53396

JOB TITLE: Staff Data Scientist DURATION: Full-time LOCATION: Sunnyvale, CA OR Bentonville, AR Key Responsibilities: • Lead the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast., • Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting., • Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts., • Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions., • Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines., • Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray)., • Act as technical lead on multiple projects, balancing research rigor with business delivery. Must Have Requirements: • Strong foundation in Causal Inference, Statistical Analysis, and advanced Machine Learning methods, • Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios., • Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions., • Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries., • Experience deploying ML systems at scale on cloud platforms (GCP/Azure). Plusses: • Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods)., • Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring., • Timeseries - will be working on it but can learn on the job Job Description: • Chance to work on financial data for complex problems/challenges., • Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems., • Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions., • We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers., • By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, we offer an extensive selection that our customers value, whether they shop online , through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

Description Required Skills & Experience • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, • Proven experience as a Machine Learning Engineer or similar role, • Hands on but can lead a 3-4 member team, • Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI (GenAI) and its applications, • Strong knowledge of React and front-end development, • Familiarity with Mega Cash and Cashing technologies, • Proficient in PostgreSQL and database management, • Excellent problem-solving skills and attention to detail Job Description A large global retailer is seeking a talented and experienced Senior Machine Learning Engineer. The ideal candidate will have a strong background in machine learning, proficiency in Python, and experience with Generative AI (GenAI), React, Mega Cash, Cashing, and PostgreSQL. This role involves developing and deploying machine learning models, collaborating with cross-functional teams, and contributing to the continuous improvement of our financial products. We are looking for someone who is hands on but can lead a 3-4 member team. Key Responsibilities: Design, develop, and deploy machine learning models to solve complex financial problems. Collaborate with data scientists, software engineers, and product managers to integrate machine learning solutions into our products. Implement and optimize algorithms for real-time data processing and analysis. Develop and maintain scalable data pipelines using PostgreSQL. Utilize Python and GenAI to create innovative solutions for financial applications. Work with React to build interactive and user-friendly interfaces. Ensure the security and efficiency of financial transactions using Mega Cash and Cashing technologies. Stay up-to-date with the latest advancements in machine learning and financial technologies.

Duration- Full Time/Perm Description: What you'll do... Role summary: • Join Client as a Principal Data Scientist to lead the development and deployment of advanced analytical models that drive strategic business decisions., • This role requires expertise in machine learning, statistical analysis, and coding to design scalable solutions addressing complex business challenges., • The position involves collaborating across functions to translate data insights into actionable strategies, mentoring team members, and ensuring high-quality data sourcing and validation., • The ideal candidate will apply innovative techniques to enhance data-driven decision-making and contribute to Client’s continued growth and operational excellence. About the team: • The Data Science team employs advanced analytical and modeling techniques to address complex business challenges., • They specialize in model assessment, validation, and deployment using tools such as Python, SQL, and machine learning frameworks., • Collaborating closely with business stakeholders, the team translates requirements into actionable insights and data-driven solutions., • Emphasizing rigorous statistical methods and data visualization, they ensure clear communication of findings., • The team promotes continuous learning and innovation, guiding members in best practices and emerging technologies to deliver impactful results aligned with business goals. What you'll do: • Develop and implement advanced machine learning models to address complex business challenges and drive data-informed decisions., • Lead exploratory data analysis, feature engineering, and statistical modeling to extract actionable insights from data sources., • Collaborate with cross-functional teams to translate business requirements into scalable data science solutions aligned with strategic objectives., • Oversee model validation, tuning, deployment, and lifecycle management to ensure accuracy, robustness, and sustainability., • Mentor and guide team members on analytical techniques, coding best practices, and data visualization to enhance overall team capability., • Communicate findings effectively to stakeholders, supporting data-driven decision-making and continuous improvement initiatives. What you'll bring: • Extensive experience in developing and deploying machine learning models using Python and related frameworks., • Proficiency in advanced statistical analysis and data visualization techniques to derive actionable business insights., • Strong knowledge of data sourcing, quality assessment, and management within complex business environments., • Expertise in model validation, tuning, and lifecycle management to ensure robust and scalable solutions., • Ability to translate business requirements into technical strategies and lead cross-functional teams effectively., • Familiarity with cloud platforms such as AWS SageMaker for scalable model development and deployment., • Demonstrated leadership in mentoring associates and driving continuous improvement in data science practices. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. • Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field., • Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field., • Option 3: 7 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. • Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics,, • Publications or active peer reviewer in related journals or conference,, • Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch),, • We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly., • The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Client’s accessibility standards and guidelines for supporting an inclusive culture. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ___. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Ensures effective and efficient operations through conducting operations analyses (i.e. operational effectiveness and capacity utilization), and recommends improvements. Details Job ID-26-00519

Role Overview Insight Global is seeking a Staff Software Engineer with strong leadership and deep technical expertise in Java, cloud architecture, and scalable systems. The role supports the development of a next-generation fulfillment platform aimed at improving delivery speed, transparency, and customer experience for third-party sellers. Key Responsibilities • Lead medium to large-scale projects and provide technical direction., • Design and develop scalable backend microservices and APIs., • Solve complex system problems using modern technologies., • Collaborate across teams and troubleshoot production issues., • Drive innovation and best practices in engineering., • Support business needs and lead high-visibility initiatives. Qualifications • 7+ years in large-scale system architecture and development., • Expertise in Java, Python, and cloud platforms (AWS, Azure, etc.)., • Strong foundation in algorithms, data structures, and microservices., • Experience with CI/CD, automation tools, and performance optimization., • Familiarity with agile methodologies and marketplace platforms., • Bonus: Knowledge of machine learning and marketplace domain experience.

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do. RUCKUS delivers purpose-driven networks powered by Artificial Intelligence (AI) and Machine Learning (ML) that have been independently validated to outperform competitors. Our industry-leading Access Point portfolio sets the standard for excellence. Today, we’re taking Wi-Fi managed services to the next level through innovative cloud technologies. How You’ll help us connect the world: As part of the Hardware Engineering organization, you’ll join the Antenna Engineering team and play a pivotal role in shaping Ruckus Wireless antenna systems. You’ll design antennas for 802.11, LTE, GPS, and other wireless technologies, influencing the overall architecture of our products. Collaboration is key—you’ll work closely with electrical, mechanical, and software engineers to deliver world-class solutions. Responsibilities: • Provide technical leadership and own antenna designs for Access Points and other wireless products across 500 MHz to 7 GHz., • Lead antenna engineering projects from concept to production., • Use advanced simulation tools (e.g., HFSS, CST) to design PCB antennas, discrete antennas, and antenna arrays., • Validate designs through simulation and measurement, ensuring optimal system performance., • Develop antenna requirements and contribute to system-level specifications for new products., • Adapt existing designs for new applications through simulation and hands-on optimization., • Collaborate with PCB layout and mechanical teams to refine prototypes for high-volume production., • Debug RF and antenna subsystem issues in partnership with RF engineers., • Perform root cause analysis and statistical evaluations for production readiness., • Support compliance testing and guide products through regulatory certification. Required Qualifications: • Ph.D. in Electrical Engineering (antenna focus) preferred; Master’s Degree with relevant experience considered., • 10+ years of experience with antenna design ., • Deep understanding of antenna fundamentals and RF principles., • Expertise with HFSS, CST, or similar modeling tools., • Hands-on skills in antenna prototyping, soldering, and breadboard assembly., • Proficiency with lab equipment: spectrum/network analyzers, signal generators, and antenna measurement ranges., • Strong problem-solving and debugging skills for RF and wireless systems., • Experience with Wi-Fi, Bluetooth, LTE technologies., • Familiarity with circuit analysis and layout tools., • Excellent verbal and written communication skills., • A start-up mindset—adaptable, proactive, and results-driven. #LI-RB1 #LI-CA HYBRID Our salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with exceptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $182,000.00-$256,000.00 The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company’s Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options. What Happens After You Apply? Learn how to prepare yourself for the next steps in our hiring process by visiting ___ Why CommScope? CommScope is on a quest to deliver connectivity that empowers how we live, work, and learn. Our employees push the boundaries of communications technology that enables game-changing discoveries like 5G, the Internet of Things, and gigabit speeds for everyone, everywhere. With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next…..come connect to your future at CommScope. CommScope is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. If you are seeking an accommodation for the application or interview process, please contact us to submit your request at . You can also learn more about CommScope’s accommodation process and EEO policy at ___

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do. RUCKUS Networks, a CommScope BU, specializes in delivering high-performance networking solutions while focusing on creating purpose-driven networks that perform exceptionally well in challenging environments. RUCKUS Networks leverages advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML) to enhance network performance and reduce total cost of ownership. The Embedded Software Engineering Manager will lead and mentor a team of engineers in the development of next-generation WiFi Access Point solutions. This position requires a strong background in embedded systems, wireless and wired networking, and a proven track record of managing and delivering complex software projects. An experienced leader with a strong technical background in embedded systems, 802.11 wireless networking, and SoC platforms who thrives in a fast-paced, collaborative environment. Role and Responsibilities: • Oversee the entire software development lifecycle for WiFi Access Point products, from concept and architecture to testing and deployment., • Ability to manage multiple projects simultaneously in a fast-paced Agile environment., • Collaborate with different chip vendors and other cross-functional teams to drive project success., • Communicate complex technical concepts and project statuses to both technical and non-technical stakeholders., • Manage new SoC /SDK integrations, feature development, and platform enhancements., • Collaborate with chip vendors, cross-functional teams, and product stakeholders to drive project success., • Guide Code reviews, technical reviews, architecture decisions, and best practices adoption., • Focus on continuous improvement in product quality, team productivity, and customer satisfaction., • Hire and develop top engineering talent. Required Qualifications: • Bachelors or Masters Degree in Networking, Wireless, or related fields, • 10+ years in embedded software development and/or Firmware with a proven track record of 5+ years team management., • Expert level proficiency in embedded software Programming using C/C++/Shell programming., • Proven track record of successfully bringing wireless networking products from design to market., • Strong strategic thinking, decision-making, and problem-solving and Troubleshooting abilities, especially in complex, ambiguous situations. Technical Expertise: • In-depth knowledge of embedded systems and integration of 3rd-party drivers with various hardware components., • Strong understanding of Uboot, Linux Kernel and user space programming, drivers, BSP, and IO interfaces such as I2C, SPI, UART, USB, MultiGig Ethernet, TPM, IoT,, • Handson on tools like GIT, Jenkins CI/CD Pipelines, Jira, confluence, bitbucket, • Expert ability to read, interpret, and apply information from technical documents, including datasheets, errata, and application notes from hardware and SoC vendors., • Strong understanding of wireless networking protocols, including 802.11 standards (Wi-Fi 6/7), wired products 802.3 MAC/PHY layers, and the TCP/IP stack., • · Familiarity with test equipment such as oscilloscopes, logic analyzers, and protocol analyzers, wireshark, etc. Leadership & People Management: • · Strong skills in team motivation, mentorship, and fostering a culture of innovation., • · Experience building and leading high-performing technical teams. Collaboration & Interpersonal Skills: • Ability to work effectively with cross-functional teams across different time zones., • Strong interpersonal and communication skills to align with stakeholders and drive projects forward. You'll excite us if you have: • Experience with modern WiFi technologies, including Mesh, Cloud Management, and Network Security., • Knowledge of scripting languages like Python etc for automation and tooling., • Experience with applying AI/ML techniques to enhance connectivity and system performance., • Familiarity with Agile or Scrum methodologies., • Familiarity of End to End Debugging Enterprise networks with L2/L3/L7 protocols #LI-RB1 #LI-HYBRID Our salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with exceptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $118,000.00-$170,000.00 The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company’s Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options. What Happens After You Apply? Learn how to prepare yourself for the next steps in our hiring process by visiting Why CommScope? CommScope is on a quest to deliver connectivity that empowers how we live, work, and learn. Our employees push the boundaries of communications technology that enables game-changing discoveries like 5G, the Internet of Things, and gigabit speeds for everyone, everywhere. With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next…..come connect to your future at CommScope. CommScope is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. If you are seeking an accommodation for the application or interview process, please contact us to submit your request at . You can also learn more about CommScope’s accommodation process and EEO policy at ___

RUCKUS Networks, part of CommScope, specializes in delivering high-performance networking solutions while focusing on creating purpose-driven networks that perform exceptionally well in challenging environments. RUCKUS Networks leverages advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML) to enhance network performance and reduce total cost of ownership . Our Industry leading WiFi team is hiring Principal Engineer to join our team in Sunnyvale, CA. In this role, you will drive the architecture, design, and development of cutting-edge, Enterprise / carrier-grade wireless access points, enabling enterprises and carriers to stay ahead of the rapidly growing demand for high-bandwidth applications. How You'll help us to connect the world: • Design and develop WiFi features that align with evolving standards, focusing on high performance, low latency, and guaranteed service delivery., • Collaborate with chip vendors to drive innovation, enhance SDKs, and support multi-platform, multi-standard solutions., • Optimize wireless performance for challenging environments, including high-density deployments and challenging RF conditions., • Conduct performance benchmarking, debugging, and tuning of the WiFi systems., • Collaborate across teams to manage project deliverables, dependencies, milestones, and product optimization., • Collaborate and Lead technical reviews and architectural discussions to guide the team in adopting the best solutions., • Partner with system engineers and product managers to meet customer requirements. Required Qualifications: • Bachelor's or Master's Degree in Networking or Wireless and 8+ years of relevant experience., • In-depth knowledge of WiFi access point (AP) architecture and WiFi standards., • Experience in guiding architectural and design changes in WiFi AP products., • Expertise in embedded systems, kernel, and device drivers., • Strong coding experience in C/C++, Python for embedded systems development., • Proven experience with SDK integration across multiple platforms with different vendors, • Strong understanding of WiFi communication protocols (IEEE 802.11a/b/g/n/ac, 802.11ax, 802.11be )., • Ability to thrive in a fast-paced, innovative environment, pushing the boundaries of technology., • Strong problem-solving, debugging, and analytical skills., • Excellent communication skills and the ability to work well in a cross-functional team environment. THIS IS HYBRID OPPORTUNITY. LOCAL CANDIDATES ONLY AND NO THIRD PARTY AGENCIES PLEASE. #LI-RB1 #LI-HYBRID Our salary ranges consider various factors, including but not limited to benchmarking by independent third-party consultants, skills, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with outstanding experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $118,200.00 -153,700.00 What happens after you apply? Learn how to prepare yourself for the next steps in our hiring process by visiting ___. Why CommScope? CommScope is on a quest to deliver connectivity that empowers how we live, work, and learn. Our employees push the boundaries of communications technology that enables game-changing discoveries like 5G, the Internet of Things, and gigabit speeds for everyone, everywhere. With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next…..come connect to your future at CommScope. CommScope is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. If you are seeking an accommodation for the application or interview process, please contact us to submit your request at . You can also learn more about CommScope’s accommodation process and EEO policy at ___

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do. RUCKUS Networks builds and delivers purpose-driven networks that perform in the tough, unique environments of the industries we serve. Leveraging network assurance and enterprise-wide automation driven by AI and machine learning (ML), we empower our customers to deliver exceptional experiences for every employee, guest, customer, student and resident who counts on those networks to connect with their digital lives. Join RUCKUS as Product Management Director and help redefine how industries like MDU (Multi-Dwelling Units), Hospitality, Education (K-12 & Higher Ed), MWL (Manufacturing, Warehouse & Logistics), Service Providers, Pro-AV, Federal, and Healthcare harness Wi-Fi, switching, and AI-driven insights to accelerate digital transformation. How You’ll help us connect the world: As a PLM, you’ll be the visionary behind end-to-end Wi-Fi solutions that combine RUCKUS’s cutting-edge technologies with a powerful ecosystem of 30+ alliance partners. You’ll shape product strategy, define roadmaps, and deliver solutions that solve real-world challenges—bridging the gap between innovation and market impact. • Architect Solutions: Design scalable, secure, high-performance Wi-Fi solutions tailored to the unique needs of each vertical., • Lead Product Strategy: Define and drive end-to-end solutions by identifying market requirements and whitespace opportunities in strategic verticals., • Be the Voice of the Market: Act as the product and solution evangelist—deeply understanding customer pain points, industry trends, and competitive dynamics., • Drive Innovation: Engage directly with customers and partners to gather insights and translate them into differentiated features and solutions., • Execute Cross-Functionally: Collaborate with engineering, platform product managers, and sales teams to deliver impactful solutions—on time and on budget. Required Qualifications: • Vertical Expertise: Deep knowledge in at least two of the following: MDU, Hospitality, Education, MWL, Service Providers, Pro-AV, Federal, or Healthcare., • Technical Know-How: Proficiency in wireless networking (Wi-Fi, Ethernet, broadband), IoT/smart building integration, industrial systems (SCADA, PLCs, MES, WMS), and hospitality tech (PMS, IPTV, mobile check-in)., • Business Acumen: Understanding of MDU financial models, guest/tenant experience expectations, and partner go-to-market strategies., • Leadership & Influence: Strong communication, stakeholder management, and analytical skills with a proven ability to lead cross-functional teams in a dynamic environment. #LI-RB1 #LI-HYBRID (CA) Our salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with exceptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $160,000.00-$240,000.00 The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company’s Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options. What Happens After You Apply? Learn how to prepare yourself for the next steps in our hiring process by visiting Why CommScope? CommScope is on a quest to deliver connectivity that empowers how we live, work, and learn. Our employees push the boundaries of communications technology that enables game-changing discoveries like 5G, the Internet of Things, and gigabit speeds for everyone, everywhere. With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next…..come connect to your future at CommScope. CommScope is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. If you are seeking an accommodation for the application or interview process, please contact us to submit your request at . You can also learn more about CommScope’s accommodation process and EEO policy at ___

The future of defense will be decided by those who field intelligent machines at scale. At Scout, we’re developing Fury — the first robotic foundation model for defense — to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. It’s not just a leap in autonomy, it’s a force multiplier built for real-world conflict. This mission will ask everything of us: urgency, precision, and relentless work. The Role We’re looking for an AI Infrastructure Engineer to build and scale the backbone of Fury’s model training and deployment ecosystem. You’ll design the data, compute, and orchestration infrastructure that enables our vision-language-action models to learn from massive real-world datasets and operate across edge and cloud environments. This role bridges systems engineering, distributed computing, and machine learning infrastructure. Your work will ensure our teams can iterate rapidly, train large models efficiently, and deploy them reliably on robotic platforms in the field. We’re a startup. You’ll be moving fast, context-switching daily, and helping define the culture and process as we go. This is a rare opportunity to come in early and architect the future of defense. Responsibilities • Design and implement data pipelines for ingesting, transforming, and storing petabytes of multimodal data from Fury’s robotic and operator systems, • Develop internal tooling for dataset exploration, curation, versioning, and quality monitoring over time, • Build and maintain distributed training infrastructure (cloud and on-prem) for large-scale multimodal and foundation model training, • Implement job orchestration workflows for launching, tracking, and debugging large-scale model runs, • Identify and remediate bottlenecks in compute, memory, storage, and network performance to optimize throughput and cost efficiency, • Collaborate with AI, autonomy, and systems teams to ensure data and training infrastructure supports real-time and mission-critical use cases, • Maintain observability and reliability tooling for training and inference pipelines, • Stay current on best practices in MLOps, distributed training frameworks, and AI infrastructure at scale Qualifications • 3+ years of experience in ML infrastructure, MLOps, or large-scale data systems, • Proven experience with distributed training (PyTorch DDP, DeepSpeed, Ray, or similar) and workflow orchestration (Kubernetes, Airflow, or equivalent), • Strong proficiency in Python and cloud-native infrastructure (AWS, GCP, or Azure), • Deep understanding of data engineering (ETL pipelines, object storage, data versioning, metadata management), • Familiarity with containerization and deployment (Docker, Kubernetes) and monitoring systems (Prometheus, Grafana), • Experience optimizing GPU cluster utilization, scaling training jobs, and profiling model performance, • Bachelor’s degree or higher in Computer Science, Electrical Engineering, or related technical field, • Bonus: Experience with edge-deployed ML systems, federated training, or robotic data collection pipelines, • Must be a U.S. Person due to required access to U.S. export controlled information or facilities Why Join Scout • Work on the world’s most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines, • Be a core part of a team building the first defense-specific robotic foundation model, • Collaborate with some of the top engineers in autonomy, AI, and national security, • See your work deployed on real systems, • Help define the future of intelligent defense systems, • Backed by Draper Associates, Booz Allen Ventures, and other top investors Benefits • Competitive base salary and meaningful equity, • Premium medical, dental, and vision plans with $0 paycheck contribution, • Competitive PTO and company holiday calendar, • Catered lunch daily and fully stocked kitchen, • EV charging, • Relocation assistance (depending on role eligibility)

About Us At Autonomous Healthcare, we are at the forefront of medical innovation, developing the next generation of devices that will revolutionize patient care. Our mission is to commercialize breakthrough medical technologies by leveraging cutting-edge AI and autonomous systems. We believe that the best solutions are built together, and we are looking for a key member to join our collaborative R&D team. About the Role We are seeking a highly motivated and skilled engineer to join our team in developing next-generation patient monitoring systems. This role is at the intersection of computer vision, signal processing, and high-performance software engineering. You will be responsible for building the core analytical engine that transforms raw depth-sensor video into actionable health information. This is not a purely theoretical position. You will be hands-on, designing algorithms that are efficient enough for real-time applications and robust enough for real-world clinical use. You will write the production-level Python code that brings these algorithms to life on cutting-edge edge computing platforms. If you are a problem-solver who thrives on analyzing complex sensor data and building tangible, high-performance systems, we want to hear from you. Key Responsibilities • Develop and implement real-time computer vision algorithms in Python to detect, track, and analyze regions of interest from video data (specifically depth sensors)., • Design and build signal processing pipelines to extract, filter, and interpret physiological movement data from sensor signals., • Optimize algorithms for performance to meet strict real-time processing requirements., • Deploy and validate analysis software on edge computing platforms with GPU acceleration (e.g., NVIDIA Jetson)., • Collaborate in a multidisciplinary team to integrate your solutions into a complete monitoring product., • Strong proficiency in Python and experience writing clean, efficient, and maintainable code., • Solid foundation in computer vision principles and hands-on experience with libraries like OpenCV., • Solid foundation in digital signal processing (e.g., filtering, time-series analysis, feature extraction) and experience with libraries like SciPy or NumPy., • B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, Biomedical Engineering, or a related technical field., • Demonstrable experience in analyzing imaging or sensor data to solve complex problems., • Experience with high-performance edge computing platforms (e.g., NVIDIA Jetson)., • Familiarity with GPU programming (e.g., CUDA, TensorRT) for accelerating algorithms., • A background in robotics, autonomous vehicles, or real-time analysis of sensor data (e.g., LiDAR, RADAR, IMU)., • Experience with depth sensors, 3D data processing, or point cloud analysis., • Knowledge of machine learning or deep learning frameworks (e.g., PyTorch, TensorFlow) for vision or time-series tasks., • Familiarity with software development best practices (e.g., Git, unit testing, CI/CD).

Member of Technical Staff – Machine Learning San Francisco | Hybrid, 3 days/week | $200K – $280K + equity I’m partnering with a rapidly scaling healthtech startup that has just raised a $40M Series A to expand its engineering team. Their AI-powered platform is already helping clinicians by automating huge amounts of back-office work, and now they’re looking for a senior engineer to help take their copilots from demo to full production. What you’ll do: • Build and scale machine learning systems that power real healthcare products, • Work across the full ML lifecycle: from data pipelines, to model training, to deployment, • Adapt and fine-tune large foundation models to real-world use cases, • Help improve speed, cost, and performance of AI features in production, • Provide technical leadership and mentor a junior ML engineer What we're looking for • 5+ years of experience building ML systems that are used in production, • Strong Python skills (PyTorch or JAX experience is a plus), • Background taking research ideas into production-ready services, • Good understanding of how to evaluate models and measure impact, • Experience with modern LLM/AI techniques (LoRA, RAG, structured prompts, model optimisation) If this sounds like a good fit and you'd like to know more, please apply and we'll be in touch.

AI Linguist Overview: • We are the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. Join us to challenge yourself with work that matters., • We trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to an onsite office, depending on what’s best for you and when it is important for your team to be together., • We were built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital résumé – we transform lives through innovative products and technology., • The HALO team leverages large volumes of data and state-of-the-art machine learning techniques to understand what our 1B members read and write about on linkedin.com. AI Engineers and Linguists work together to impact positively on the LinkedIn feed experience, personalized content recommendation, ads relevance and more., • We are seeking AI Linguists to join our diverse and interdisciplinary team to focus on AI quality, evaluation, and annotation and to contribute with their expertise to the annotation/human judgment pipeline development that lay at the foundation of the AI model development and improvement., • Location –Sunnyvale, CA or Mt. View, CA (Hybrid – Tuesday through Thursday Onsite) Responsibilities: • Design and execute on solutions for AI quality, evaluation, and annotation, • Leverage Generative AI prompting, human input, hybrid approaches in the development of scalable and high-quality human judgment workflows, • Conduct data-driven analysis and provide linguistic insights for project development, • Be part of working groups that develop high-quality human judgment/annotation/evaluation pipelines, • Create documentation and guidelines for standard procedures of internal processes, • Research new methodologies for process and product improvement, • Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation Basic Qualifications: • B.S./B.A Degree in Computational Linguistics, Language Technologies, Linguistics or a related field, • 2+ years relevant industry experience, • 2+ years experience with large-scale, end-to-end human judgment flows and tools for the training/evaluation of AI models, • 2+ years experience to breakdown linguistic data requirements into concise, clear instructions and designs, • 1+ years experience programming in Python or any other scripting language Preferred Qualifications: • MS or Ph.D. in Computational Linguistics, Language Technologies, Linguistics or a related field., • Willingness to learn technical concepts and new tools and a keen interest in technology, • Experience with human judgment projects and flows, • Experience with complex and scalable data annotations and evaluations, • Experience with programming languages in data annotation space, • Excellent comprehension and written communication skills in English, • Preferred working hours: 8:30 am PST - 17:30pm PST Suggested Skills: • Strong problem solving, • Conceptual thinking, • Communication skills Compensation: • $58.70 - $62.84 Hourly (W2/Non-Exempt) Req# 16366

Staff Data Scientist – Sales Analytics Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities • Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections., • Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives., • Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects., • Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions., • Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting., • Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You • Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments., • Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions., • Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy., • Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams., • Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Staff Data Scientist – Post Sales Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities • Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring., • Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion., • Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn., • Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals., • Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams., • Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You • Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment., • Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring., • Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy., • Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders., • Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Are you passionate about Generative AI and want to apply it to one of the most impactful domains — cybersecurity? Join our cutting-edge startup in the San Francisco Bay Area, where we are developing AI systems that transform how organizations understand, detect, and respond to cyber threats. As an Applied AI Scientist, you’ll bridge AI research and real-world cybersecurity use cases — designing, implementing, and optimizing models that extract, reason, and act on complex security data. You’ll work closely with cybersecurity experts, AI infrastructure engineers, and stakeholders to build end-to-end GenAI solutions: from concept to deployment. This role blends deep applied research with practical engineering, ideal for someone eager to push the limits of Generative AI for meaningful impact. Why Join Us: • $25M Seed Funding: Strong capital foundation to innovate and scale fast., • Early Success: Trusted by Fortune 500 companies, validating real-world demand., • Experienced Leadership: Founders with 25+ years in cybersecurity — previous ventures valued at $3B+., • Elite AI Leadership: Heads of AI, Engineering, and Product from world-class tech companies., • Advanced AI Stack: LLMs, embeddings, RAG systems, LangGraph orchestration, and multimodal AI., • Competitive Compensation: Excellent salary, meaningful equity, and room for technical leadership growth., • Cybersecurity Knowledge Preferred but Not Required: We’ll teach you the domain — you bring the AI innovation. Key Responsibilities: Core Applied AI Research • Collaborate with cybersecurity researchers and stakeholders to scope AI-driven solutions to security problems (e.g., vulnerability management, code analysis, threat detection)., • Conduct applied research using the latest LLMs and embedding models (Claude, Google GenAI, Unsloth, vLLM)., • Prototype, fine-tune, and evaluate GenAI and RAG/CAG architectures for classification, summarization, reasoning, and context synthesis., • Perform embedding-level optimization for text, code, and image data using Unsloth, Hugging Face, Voyage, or similar frameworks. System Development & Integration • Develop and test end-to-end AI pipelines integrating Milvus or Pinecone for semantic retrieval., • Build agentic AI systems using LangGraph or similar frameworks to enable autonomous reasoning and task chaining., • Collaborate with MLOps engineers to deploy and monitor AI models in production securely and efficiently., • Contribute to synthetic data generation pipelines for fine-tuning and evaluation. Evaluation & Optimization • Implement evaluation frameworks using DeepEval and GenAI tools (Claude / Google GenAI) for factuality, reliability, and robustness., • Optimize model performance across latency, accuracy, and cost using vLLM, quantization, or caching strategies., • Maintain reproducible experiment tracking with MLflow, Weights & Biases, or internal tools. Innovation & Leadership • Stay ahead of GenAI trends — multi-modal reasoning, agentic orchestration, embedding adaptation., • Explore hybrid LLM deployment strategies (local Unsloth/vLLM + cloud APIs like Claude, Google GenAI)., • Document best practices, share learnings, and mentor junior scientists on applied GenAI workflows. Qualifications: Required • 4+ years in Applied AI / Machine Learning Research / Data Science., • Strong understanding of LLMs, embeddings, RAG systems, and multimodal learning., • Proficiency in Python and frameworks like PyTorch, Transformers, Hugging Face, or LangChain., • Experience in prompt engineering, model evaluation, and retrieval-based reasoning., • Hands-on experience with vector databases (Milvus / Pinecone) and orchestration frameworks (LangGraph / LangChain)., • Strong communication skills and ability to collaborate across research and engineering functions. Preferred • Experience with fine-tuning LLMs or embeddings using Unsloth or similar frameworks., • Familiarity with Claude / Google GenAI APIs for cloud-based inference and evaluation., • Exposure to cybersecurity or enterprise data (CVEs, pluginText, network or asset logs)., • Prior work on synthetic data generation and evaluation frameworks (DeepEval)., • Experience in a fast-paced startup or applied research environment. Our Culture & Team • Collaborative and Mission-Driven: Every project directly advances global cybersecurity., • World-Class Mentorship: Work with senior experts from top AI and security companies., • Growth-Oriented: Opportunities to lead GenAI initiatives and own major research tracks., • Inclusive and Innovative: We value diverse perspectives and open experimentation. Perks & Benefits • Comprehensive medical, dental, and vision coverage., • Wellness and professional development stipends., • Equity options — your impact equals ownership., • Access to state-of-the-art GPUs, APIs, and GenAI frameworks.

Job Title - Manager of Data Science Location: Sunnyvale, CA or Bentonville, AR (Hybrid role) Job type: Fulltime What you'll do... Manage a team of data science and machine learning engineers to develop and deploy traditional data science and Gen AI applications supporting the Walmart finance department. Build models that solves specific business outcome by training with massive amount of Walmart data utilizing open-source or in-house tools. • Grow a team of domain experts of NLP, LLM , Timeseries Forecasting and recommendation systems in respective business domains in retail ; e-commerce., • Drive execution of developing models and systems, • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Remain up to date on ongoing research and development activities in the team, • Work with data scientists to design, architect, and build AI/ML/DL model and model systems., • Work with machine learning engineers to deploy, operate, and optimize scalable solutions About the Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll bring: • Experience in NLP, LLM, Timeseries, Traditional ML techniques, • Experience in data science and machine learningfor retail ; e-commerce, • Experience in managing a mid-size internal team of data scientists and MLEs, • Experience leading and completing cross-functional projects, • Strong organizational skills including prioritizing, scheduling, time management, and meeting deadlines, • Strong influencing and interpersonal skills, • Detail and results-oriented with sense of urgency Regards Vinay S

About the Role We are seeking an AI-Native Game Developer who is passionate about integrating state-of-the-art artificial intelligence into game development. In this role, you will leverage Generative AI (AIGC & LLMs), Reinforcement Learning, Computer Vision, and other AI technologies to innovate game design, content creation, and iteration. You will help shape an AI-native game development pipeline and drive automation across game design, asset creation, QA testing, CI/CD, production, publishing, and marketing. Your work will push the boundaries of what is possible in modern mobile game development. Key Responsibilities: • Apply state-of-the-art AI innovations to redefine mobile game development, including gameplay iteration, game design, and QA infrastructure that supports long-term game growth., • Continuously research emerging AI technologies, proactively experiment, track progress, and apply AI solutions and techniques to enhance game development workflows and productivity., • Research and apply Generative AI models to enable content generation., • Utilize machine learning techniques to optimize level design, enemy AI strategies, and automated game testing., • Design and develop AI-powered internal tools to improve development efficiency., • Collaborate closely with game designers, artists, and production teams to explore and implement AI-native innovations in game development. Required Qualifications: • Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Game Development, or a related field., • Strong self-motivation and curiosity in AI, with an open mindset toward adopting AI in game development and the ability to independently explore, learn, and apply AI techniques in practical scenarios., • Familiarity with AI fundamentals and infrastructure, with hands-on experience in AI-generated content., • Solid game development experience, familiarity with Unity, and proficiency in C#, Python, and Lua., • Understanding of Generative AI applications in game development., • Knowledge of reinforcement learning algorithms and generative models for game AI design., • Excellent communication and cross-team collaboration skills, with the ability to work effectively with designers, artists, and production teams., • Passion for games and a strong desire to innovate at the intersection of AI and game development. Preferred Qualifications: • Experience developing games using AI-generated content (AIGC) and AI-assisted coding tools., • Proven experience leading or contributing to AI-native game projects or building AI-native game prototypes., • Knowledge of AI-powered 2D asset creation, 3D modeling, and animation techniques for game development., • Publications, talks, or open-source contributions related to AI, machine learning, or game development. Employee Benefits • Health, dental, and vision insurance, • 401(k) plan with employer match, • Life and disability insurance, • 12 paid holidays annually, • Generous Paid Time Off (PTO), • Free daily lunch with a variety of self-selected options, • Complimentary snacks and beverages, • Free and convenient parking, • Clean, beautiful, and newly designed work environment

Job DescriptionExciting opportunity to work with an advanced technology company focused on accelerating artificial intelligence! This Jobot Consulting Job is hosted by: Alex Luhrsen Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $30 - $45 per hour A bit about us: An advanced technology company focused on accelerating artificial intelligence workloads is seeking a detail-oriented and motivated ASIC Cleaner. This organization is developing a purpose-built system that significantly enhances the performance of machine learning operations by leveraging innovations across hardware, software, and system design. Why join us? Premiere medical, dental, vision, and life insurance plans 401k Inclusive, flexible work environment. We offer healthy snacks and daily catered meals, in addition to family-friendly company events featuring our CEO’s famous BBQ! Job Details Job Details: Our company, a leader in the Tech Services industry, is seeking a dynamic and experienced Consulting ASIC Cleaner Technician. This position involves working with advanced technology and equipment in a cleanroom environment. The successful candidate will be responsible for maintaining the cleanliness and integrity of our ASICs (Application-Specific Integrated Circuits), ensuring the high performance of our products. This role requires a deep understanding of electronics, precision, and meticulous attention to detail. Responsibilities: 1. Perform cleaning and maintenance of ASICs using specified cleaning procedures and equipment such as a 30x stereo microscope, Leica A60, and other tools., 2. Work in a class 10,000 cleanroom environment, adhering to all safety and cleanliness protocols to prevent contamination., 3. Inspect and analyze PCB (Printed Circuit Boards) for any defects or issues that may affect the performance of the ASICs., 4. Handle sensitive wafers with utmost care, ensuring they are free from any contaminants or physical damage., 5. Provide consultation services to our team, offering expert advice on ASIC cleaning processes, problem-solving, and improvements., 6. Document and report all cleaning activities, findings, and any issues encountered during the cleaning process., 7. Collaborate with other team members and departments to ensure the overall quality and efficiency of our products., 8. Stay updated with the latest cleaning techniques, tools, and trends in the industry. Qualifications: 1. A minimum of 5 years of experience as an ASIC Cleaner Technician or a similar role in the Tech Services industry., 2. Proficiency in using a 30x stereo microscope, Leica A60, and other relevant tools and equipment., 3. Extensive knowledge and experience in working with PCBs and sensitive wafers., 4. Experience in working in a class 10,000 cleanroom environment., 5. Strong understanding of electronics and ASICs., 6. Excellent problem-solving skills and attention to detail., 7. Ability to work independently and collaborate with a team., 8. Strong communication skills to effectively provide consultation services., 9. A degree in Electronics, Engineering, or a related field is preferred. This is an excellent opportunity for a seasoned ASIC Cleaner Technician to leverage their expertise in a challenging and rewarding environment. If you are passionate about maintaining the high performance of ASICs and have the required skill set, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. 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You can access our privacy policy here: jobot.com/privacy-policyCompany DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.Jobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values.\r\n\r\nFounded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA).\r\n\r\nReady to find a good job? Create your profile today at Jobot.com.

Product Managers play a pivotal role in shaping offerings that leverage artificial intelligence, machine learning, and data analytics to solve complex business challenges.IBM follows a structured product lifecycle management process, integrating agile methodologies, data-informed decision-making, an

We are looking for an Executive Assistant - Admin Team Manager to support the Vice President of the Graphics, Games and Machine Learning team and manage a team of three administrative assistants. Experience as an administrative assistant / executive assistant managing complex calendars, preferably i

Experience as an administrative assistant / executive assistant managing complex calendars, preferably in a high tech environment. We are looking for an Executive Assistant - Admin Team Manager to support the Vice President of the Graphics, Games and Machine Learning team and manage a team of three

The Senior Manager of Enterprise Information Management Systems (EIM) is responsible for defining and executing the company's enterprise data and application strategy across critical business systems including Oracle E-Business Suite (EBS), Salesforce, and adjacent data platforms. This role will lead a team of professionals focused on enabling data-driven business outcomes, strengthening system integrations, and ensuring enterprise readiness for AI-driven analytics and automation. Reporting to the Head of IT and Cybersecurity, this position will partner closely with Finance, Sales Operations, Engineering, and Security to transform how enterprise data is managed, integrated, and leveraged across the organization. Strategic Leadership • Develop and execute a multi-year Enterprise Information Management strategy that aligns with company objectives and supports scalability, governance, and AI readiness, • Define a data management and integration roadmap spanning Oracle EBS, Salesforce, and cloud-based analytics platforms, • Oversee the full lifecycle of Oracle EBS and Salesforce platforms, including upgrades, integrations, and business process enhancements, • Ensure systems are optimized for operational efficiency, reporting accuracy, and extensibility to future business needs, • Establish enterprise-level data governance standards to ensure accuracy, consistency, and compliance across all systems, • Develop frameworks for data classification, lineage, and retention that enable responsible AI and automation initiatives, • Serve as a bridge between IT and business functions to translate strategic goals into executable technology initiatives, • Lead cross-functional steering committees to prioritize system enhancements and ensure alignment between business and technical teams, • Build and mentor a team of business systems analysts, data engineers, and integration specialists, • Promote a culture of hands-on leadership, accountability, and innovation within the EIM function, • Bachelor's degree in Information Systems, Computer Science, or related field; Master's preferred, • 10+ years of experience in enterprise applications management, including at least 5 years in a leadership role, • A strong perspective on the Oracle integration ecosystem and tools that accelerate enterprise data initiatives (Boomi, Tableau, Snowflake, etc.), • Strong expertise in Oracle E-Business Suite and Salesforce (Sales, Service, and Integrations), • Proven experience leading data integration, governance, and analytics initiatives across hybrid cloud environments, • Familiarity with AI/ML use cases, data preparation pipelines, and cloud data ecosystems (e.g., Snowflake, Azure, or AWS), • Exceptional communication, vendor management, and stakeholder engagement skills, • Background in technology or networking industry, • Experience aligning enterprise data architectures with AI-driven initiatives and automated business processes, • Experience managing remote employees This is a high-impact leadership role at the intersection of enterprise applications, data strategy, and innovation. You'll have the opportunity to shape how information flows across the organization, enabling greater intelligence, agility, and readiness for an AI-enabled future.

You are creative, passionate, and intellectually curious. Where others see obstacles, you see opportunities. When others talk about problems, you focus on creating solutions. If your entrepreneurial mindset drives you to succeed, you're what we're looking for in future employees! QuinStreet cultivates a work environment built on teamwork, drive, growth, recognition, and fun. Check out our job listings and find out what a future on the QS Team could mean for you! There is no "average" employee here. We all come from different backgrounds, which is one of our greatest strengths. It allows us to see things from new perspectives and listen to each other with open minds. Data Scientist At QuinStreet, I enjoy collaborating with my team members and stakeholders to solve complex business problems. With the support of my manager, I have learned how to share complex machine-learning concepts and project findings with stakeholders in a way that helps them make practical suggestions on code improvements. Overall, QuinStreet has supported me improving my technical and communication skills. Product Designer I started working at QuinStreet at the beginning of the pandemic. One could assume that it'd be challenging to cultivate a company culture given the circumstances; however, the culture is one of my favorite things about working at QuinStreet; I love working with a diverse group of people. Company events and freebies do not lack, but more importantly, QuinStreet fosters growth and development. In summary, QuinStreet's culture isn't just about fun; it is about caring for its employees. Team Lead, Mid-Market Account Management In my career, I've never worked with such a talented and driven group of people that truly want to help you succeed. Modernize continually accelerates my career path by creating new positions to address the needs of the business and giving me opportunities to take on additional responsibilities within the organization. Not long after I was hired as a Regional Account Manager two years ago, I was promoted to the Mid-Market division and the title of Senior Mid-Market Account Manager. Now I am the Team Lead for Mid-Market Account Management. I'm proud to be part of such an amazing team!

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Equifax's Analytics Solutions Consulting team is seeking a Strategy & Analytical Consultant to develop strong relationships internally with capability leaders and externally with client business leaders, jointly designing and architecting comprehensive business strategies using Equifax's proprietary data and analytics platform. They will recommend frameworks that leverage the analytical platform to provide appropriate profitability driven solutions for our clients. Our Consultants are client facing, recognized experts who have held key positions within the various industries we serve. From this base of knowledge and experience, the consultants become interactive partners, designing solutions tailored to meet immediate business goals. This position will work with Equifax's US client base, with a focus on financial services companies to provide meaningful solutions for them via analytical platforms. The Strategy & Analytical Sales Consultant is responsible for demonstrating the value of Equifax solutions and assets based on actual client data. In doing so, the Consultant enhances the client relationship, drives new programs/revenues and positions Equifax as a strategic advisor. The Consultant is a quantitative thinker who has a solid grasp of Equifax's data and associated assets, an ability to identify and understand the impact of market and economic trends, and a keen understanding of client business needs. The Consultant proactively identifies and designs quantitative analyses to generate new sales opportunities and support ongoing sales initiatives for the Equifax US account teams. The Consultant is responsible for maintaining a thorough understanding of the prevailing economic environment and its key drivers, the changing business needs of clients and important trends in risk patterns within the consumer lending market. This individual establishes relationships within clients and is viewed as a trusted analytical partner. The Consultant collaborates with the product development team, data & analytics teams, sales team and the rest of the Equifax organization to optimize the use of our data and analytical assets. The Consultant also acts as a project leader for the development and delivery of analytical solutions that merge unique data assets and analytical platforms to solve for client business decisions across the customer lending lifecycle. He/she must work well in a team environment yet be a self-starter. The Consultant cultivates key relationships and provides client feedback to the account team. • Leveraging deep industry expertise to co-develop and execute plans leveraging Equifax solutions to enable revenue growth and market share, • Consult with clients and recommend improvement opportunities to existing client systems and processes, • Partner and influence product teams, account relationship teams, data science teams, and key internal stakeholders & management to produce impactful analysis for client presentations and other materials that clearly demonstrate the value of each analytic solution, • Engage internal stakeholders, sales leadership, internal analytic teams and system/IT infrastructure teams to enable successful deployment, integration, and consumption of Equifax solutions by the client, • Collaborate with product, marketing, and data science teams to customize solutions and address specific client needs, • Travel: 10-25% on average, • Bachelor's degree in a quantitative field of study or related field, • 10+ years of relevant financial services experience in some or all of the following areas: 1) Product strategy development, 2) Credit risk execution, 3) Product development, risk management, or a related consulting role within the financial services industry, • Strong analytical skills with the ability to interpret complex data sets and translate findings into actionable insights and recommendations, • Proven experience in a consulting role, • Experience with machine learning and AI applications, • MBA or Graduate degree in relevant field Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Primary Location: USA-Georgia-Remote Function: Function - Sales Support Schedule: Full time

Who are we? Whatfix is an AI platform advancing the "userization" of enterprise applications, empowering companies to maximize the ROI of their digital investments. Technology needs adoption. It's no different for AI. As AI reshapes roles, workflows, and human-machine interactions, it also introduces new layers of complexity and user friction. This is where Whatfix plays a pivotal role. A decade old DNA of empowering people to succeed with technology and not replacing them. We call this philosophy Userization: the belief that technology must adapt to the user, not the other way around. At the heart of userization philosophy is ScreenSense, our proprietary AI engine, which continuously interprets both the context of what users are doing in an application or an AI tool and the intent behind their actions. By combining these signals, Whatfix delivers real-time guidance, nudges, knowledge, and automation directly in the flow of work. This intelligence powers our entire product suite. • Digital Adoption helps users get productive faster., • Product Analytics uncovers friction and closes adoption gaps., • Mirror allows employees to train in safe, simulated environments. These are embedded with Whatfix AI Agents which supercharge creation, insights, and user guidance. Our upcoming AI-first products are already creating a buzz in the market. • Seek is an AI-native assistant that not only knows your business context but can also act across applications to get work done on your behalf., • Whatfix Mirror 2.0 is the world's only System plus Role simulation with a complete assessment to lead the Gen AI simulation category. Together, these products reflect Whatfix's commitment to building enterprise-ready AI teammates that maximize productivity and ROI. It gives users a unified, intelligent way to find answers across systems, apps, and knowledge silos and helps anyone looking to deliver fast and contextual answers. Whatfix is bridging the gap between rapid technological change and human enablement-ensuring AI is not only embedded but also usable, trusted, and outcome-driven for every employee. At Whatfix, we're not just making software easier-we're making AI work for people. The company has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries. Customers: 700+ enterprise customers, including 80+ Fortune 500 companies such as Shell, Schneider Electric, and UPS Supply Chain Solutions. Investors: A total of ~$270 million USD has been raised as yet. Most recently Series E round of $125 Million USD led by Warburg Pincus, with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer, Peak XV Partners, and Stellaris Venture Partners. Whatfix's leadership is consistently recognized across top industry analysts and business rankings: • Won the 2025 AI Breakthrough Award for the Overall AI-based Analytics Solution of the Year, • Only DAP to be recognized as a "Leader" across various DAP reports for the past 5+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group., • With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the "Top 50 Indian Software Companies" as per G2 Best Software Awards., • Named a Gartner Customers' Choice for DAP for the second year in a row (2024 and 2025)-the only vendor in the market to earn this distinction consecutively., • We also boast a star rating of 4.6 on G2 Crowd, 4.5 on Gartner Peer Insights, and a super-high CSAT of 99.8%, • Stevie Award winner in the category (Bronze): Customer Service Department of the Year - Computer Software - 100 or More Employees., • Winner of the ISG Paragon Innovation Award in partnership with Sophos (customer) for the EMEA region and finalist in the Transformation Award category., • RemoteTech Breakthrough Awards winner for "Software Asset Management Solution of the Year" These recognitions are matched by business performance: • Highest-Ranking DAP on 2023 Deloitte Technology Fast 500 North America for Fifth Consecutive Year, • Listed on the Financial Times & Statista's High-Growth Companies Asia-Pacific 2025 list., • Won the Silver for Stevie's Employer of the Year 2023 - Computer Software category and also recognized as Great Place to Work 2022-2023, • Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal Are you a seasoned sales hunter with a track record of landing and expanding enterprise deals? Do you thrive on cracking complex sales cycles and delivering game-changing solutions? Join Whatfix, a leading data-driven digital adoption platform, and help organizations maximize the ROI of their software. At Whatfix, we live by the motto "Hustle Mode ON." As an Enterprise Account Executive, you'll sell directly to Fortune 500 companies across North America and drive our growth. The Opportunity • Consult with enterprise prospects to understand needs and architect Whatfix's value proposition, • Drive engagement, quantify ROI, and ensure customer success, • Build brand awareness and generate a robust sales pipeline, • Sell a category-leading solution in a vast market, • Work closely with our Co-Founder and CRO for 1:1 mentorship and collaboration Culture for Sales Experts • Entrepreneurial, collaborative San Jose office with access to founders, • Partner with sales development, solutions consulting, marketing, and product teams, • Continuous learning and development opportunities, • Leverage our employee value proposition (full perks below) What You'll Bring • 7+ years SaaS enterprise sales experience with proven hunting, negotiating, and closing skills (ARR $50K-$500K+), • Strong executive presence with C-suite relationship experience, • Experience selling to CRM, HR, L&D, Procurement, and IT stakeholders, • Detail-oriented, proactive, and CRM-savvy, • Intellectual curiosity, energy, charisma, and customer-centric mindset, • Willingness to travel 50%+ Perks & Benefits • Uncapped incentives + equity plan, • Mac shop-work with the latest tech, • Unlimited PTO + paid maternity leave, • Medical, Dental, Vision: Whatfix covers 80% of premiums, • HSA: $1,000 individual / $2,000 family, • Monthly cell phone stipend + daily UberEats lunches, • Learning & Development benefits, team/company outings, • Relocation and sponsorship available We believe the best ideas come from collaboration. Our teams work in-office five days a week to spark innovation, build community, and stay connected. U.S. teams start their days early to stay aligned across time zones, keeping collaboration high and evenings free! We recognize the importance of flexibility in balancing personal and professional priorities. To support this, employees have the option to work from home up to two days each month. Cultural Principles: Customer First | Empathy | Transparency | Fail Fast & Scale Fast | No Hierarchies | Deep Dive & Innovate | Trust as the Foundation | Do It as You Own It Whatfix is an Equal Opportunity Employer and E-Verify participant, complying with all EEO and ADA regulations. Salary for this role ranges between $200,000-$300,000K OTE (base + variable), based on experience and skills.

NVIDIA is searching for a world-class engineering manager in Gen AI to join our AI for games team. If you are enthusiastic about applying innovative AI solutions to solve real problems, this position will be an excellent fit for you! We develop novel solutions that leverage generative AI, computer vision, computer graphics, and GPU optimization techniques. Our pioneering technologies advance the visual fidelity, experience, and engagement of products across the gaming, media and entertainment, and professional visualization markets. Working with other teams throughout the company, you will productize promising research, as well as develop new features through your own work. • Plan, schedule, mentor, and lead the execution of projects and activities of the team., • Mentor, grow, and develop a world-class team of DL engineers., • Collaborate with internal customers to align priorities across business units., • Use AI for solving product problems in gaming, entertainment, and other interactive experiences., • Create prototypes to demonstrate real-life applications of your ideas and to accelerate productization., • Participate in technology transfers to and from teams across NVIDIA., • Masters in computer science/engineering, Machine Learning, AI, and related fields (or equivalent experience)., • 12+ overall years of system engineering, machine learning engineering, or related experience., • 5+ years of experience of leading multiple software engineering projects., • Excellent verbal, written, and presentation communications skills, organizational capabilities, and collaborative and interpersonal skills., • Knowledge of application areas such as conversational AI, LLMs, real-time computer graphics, and game development., • A proven track record of delivering complex products and technologies spanning multiple teams and functional areas. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology 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 unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer 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 September 20, 2025. 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.

Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and enhance the value of our platforms for developers. As a key member of our AI DevTech team, you'll lead a team of highly skilled engineers accelerating end-to-end performance of real-world Deep Learning and Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a Developer Technology Manager, you'll define and lead strategic technical initiatives, setting short- and long-term goals for your team. You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning. Your team will focus on optimizing performance of complex parallel algorithms and workloads on NVIDIA platforms, including GPU, CPU, and interconnects. What you'll be doing: • Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications, • Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications, • Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models, • Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans, • Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges, • An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience)., • 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role., • In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference, • Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc., • Programming fluency in C/C++ with a deep understanding of algorithms and software development., • Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations, • Excellent written and presentation skills., • A PhD in a relevant field, • Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the forefront of technology, advancing NVIDIA's leadership in accelerated computing. Our discoveries generate learnings that benefit the Developer Community and provides guidance to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and Developer Technology Engineering has been steadily growing to meet the demands for our services. We now have need for a leader to join and help continue our momentum. NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you love building and mentoring a team and are highly technical and enthusiastic about Deep Learning and GPU accelerated AI performance optimizations, we want to hear from you! The base salary range is $224,000 - $356,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. 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.

With deep domain expertise, advanced technical capabilities, and a proven track record of successful collaborations, the AI Enablement & Machine Learning team at CNN is accelerating our digital transformation through strategic applications of ML and AI technologies. Our current products include popular, related and personalized content recommendations, contextual ad targeting, and site search-serving millions of CNN users via CNN web and mobile apps. This year we are partnering with teams across the company to democratize AI at CNN. Our "multiplier" approach allows our team to have outsized organizational impact by providing domain expertise, enabling teams, collaborating deeply, and building shared infrastructure. The team is composed of multiple squads: a platform squad along with cross-functional squads that leverage the platform to develop products. As the Engineering Manager for a products squad, you will manage 5+ engineers with varied backgrounds and focuses: • Machine learning engineers focusing on traditional model development and AI engineering with foundational models, • Engineers of various backgrounds who are now focused on AI integrations, • Backend engineers focusing on data availability, API development and client integrations Here are some of the key challenges our team will tackle this year: • Launch Recommendations Autofill: Support testing and adoption of a CMS component that will allow programming and editorial staff to add several types of recommendations anywhere on the site, filtering by attributes like content type and section., • Launch Editorially Curated Homepage Module: Support testing and adoption of a CMS component that will allow editorial to curate a candidate pool and pin items and recommend from that pool., • Enhance Site Search: Add CTV content types, add keyword / multi-stage search, and implement a number of other enhancements that our product team is planning now., • Experiment with Two-Tower: Incorporate additional user context in our personalized recommendations model such as geolocation, time of day and time of year, • Build Bandit Foundation: Partner with the platform squad to enhance data access and begin experimenting with bandits for online ranking of recommendations, • Support, coach, mentor, and provide valuable feedback to the individuals you manage to help them excel, • Work with cross-functional partners and stakeholders on activities such as planning, technical strategy, quality and delivery, • Partner with engineers within the team and across the organization to build and integrate machine learning features into our site, apps, and editorial tools, • Lead other engineers on the team by example, code reviews, and coaching, ensuring that code is readable, maintainable, scalable, observable, and resilient, • Champion improvements to developer experience, integrations, and testing processes, • Leverage vended and open-source cloud technologies to reduce maintenance costs and improve efficiencies, ensuring our products remain profitable, • Author, review, and optimize production-quality code that adheres to industry standards and best practices (IaC, CICD, etc.), • Demonstrate a passion for software engineering, with a strong sense of responsibility for the code you and your team write, • Take ownership of issues and be a strong advocate for your team and the products, • Embrace failure as a learning opportunityuse research and experimentation to ultimately choose the best solutions that meet company goals, • Follow a progressive development methodology, moving from proof-of-concept to prototype to production release, • Enhance the effectiveness of your squad, the team, and our partners by sharing your knowledge, communicating about complex technologies and problems in simple terms, and driving technical decisions We're looking for someone with: • 8+ years progressively complex experience designing, building, and shipping products, • 5+ years backend engineering experience with data-heavy applications, • 3+ years of experience with IaC, deployment pipelines, and relational databases, • 5+ years of experience managing engineering teams, • Experience partnering with and / or leading ICs responsible for machine learning model development (data scientists, MLEs, etc.), • Familiarity with ML specific pipelines and tooling, • Familiarity with experimentation frameworks and A/B testing methodologies, • Deep understanding of common software data structures and algorithms, with extensive experience in modern development technologies and practices, • A proven track record of building web scale products that are highly available and performant, • Passion for growing engineers through mentorship, talent acquisition, and professional development, • A collaborative mindset, understanding that great results come from teamwork and a positive culture, • Proven success leading complex projects within an engineering team: knowing when to handle issues independently, when to rally the right people for alignment, and when to escalate, • Practical experience with recommendations, search and/or personalization, • Practical experience building cost-effective ML solutions at scale Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

The VP of Quality Assurance will be responsible for architecting and executing a world-class QA strategy that ensures Versa's networking and security products deliver best-in-class performance, scalability, and security compliance. This role requires a visionary leader who deeply understands the convergence of networking, security, and cloud infrastructure, with a strong focus on test automation, security validation, and performance benchmarking. The ideal candidate will lead a global QA organization, collaborating closely with Engineering, Security, DevOps, and Product Management to embed quality and security into every stage of the software development lifecycle (SDLC). Quality Leadership & Strategy: • Define and execute a QA strategy that ensures the quality, security, and performance of Versa's SD-WAN, SSE, and SD-LAN solutions., • Lead a global QA organization, including teams focused on automation, performance, security, and compliance testing., • Establish and monitor quality KPIs (defect density, test coverage, MTTR, security vulnerabilities) to drive continuous improvement., • Champion an automation-first culture, ensuring high efficiency and scalability in testing methodologies., • Drive security validation for SASE, Zero Trust, and SD-WAN architectures, ensuring compliance with ISO 27001, NIST, SOC 2, GDPR, and FedRAMP standards., • Lead penetration testing, vulnerability scanning, and threat modeling efforts to proactively identify and mitigate risks in Versa's security stack., • Ensure the integrity of end-to-end encryption, identity management, and secure access policies across cloud and on-premise environments., • Architect and oversee the development of scalable, cloud-native test automation frameworks to validate networking and security functionality., • Implement robust performance and scalability testing frameworks for high-throughput, low-latency networking environments., • Utilize tools such as Spirent, IXIA, Wireshark, iperf, and Burp Suite for deep network security and performance validation., • Partner with Engineering to drive a culture of shift-left testing, embedding quality in early development stages., • Work with Product Management to define clear acceptance criteria for new features with a focus on security, reliability, and usability., • Collaborate with Customer Success & Incident Response teams to analyze real-world performance, optimize test cases, and reduce customer-reported issues., • 15+ years of experience in Quality Assurance, Networking, and Security, with at least 5 years in executive leadership roles., • Extensive experience with SD-WAN, SSE, SASE, and Zero Trust security architecture., • Deep understanding of network security architectures, including SWG, CASB, DLP, and next-gen firewalls (NGFWs)., • Strong grasp of networking protocols (BGP, OSPF, IPSec, TLS, HTTP/HTTPS, QUIC) and deep packet inspection (DPI)., • Hands-on experience with test automation frameworks and scripting languages (Python, Go, Java, or JavaScript)., • Proven expertise in load, stress, and failover testing for cloud-based and edge networking environments., • Experience with security testing tools (Burp Suite, Nessus, Qualys, Metasploit) and performance benchmarking tools (iperf, Spirent, IXIA)., • Demonstrated experience in building and scaling global QA teams in fast-paced, Agile development environments., • Strong decision-making and problem-solving skills, with a data-driven approach to improving product quality., • Exceptional communication and stakeholder management skills, with the ability to influence C-level executives, engineers, and customers., • Deep knowledge of Versa Networks' SD-WAN and SASE solutions or experience in a similar networking/security product company., • Industry certifications such as CCIE Security, CISSP, CISM, AWS Certified Security Specialist, or Certified Ethical Hacker (CEH). The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range of $250,000 to $330,000. A candidate's specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. At Versa Networks, we believe in taking care of our people both professionally and personally. We offer a comprehensive benefits package designed to support the well-being, growth, and work-life balance of our employees. When you join our team, you can expect: • Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication., • Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered., • Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters., • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you., • Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends., • Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success., • Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do. Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Dext is a fast-growing fintech transforming bookkeeping through AI and machine learning. Founded in London, we now operate across Europe, North America, and APAC, with a presence in six countries and over 400 employees worldwide. Our platform empowers accountants, bookkeepers, and businesses to simplify accounting processes and make smarter, more timely financial decisions. In 2024, Dext joined the IRIS Software Group, further strengthening our ability to deliver end-to-end accountancy solutions. We've achieved 99.5% data accuracy, saved over 35 million hours of manual data entry, and are trusted by 12,000 firms and 700,000 businesses globally. With integrations across major accounting software and over 11,500 financial sources, we're proud to be at the forefront of innovation in the accounting space. Dext recently launched a new business unit. We're looking for a driven, strategic, and results-oriented Senior Account Executive ready to own the full sales cycle and drive outbound growth. As a Senior Account Executive, you'll drive new business growth by identifying potential SaaS companies and converting them into successful partnerships. You'll own and manage the full 360 sales cycle (from outreach, demo to closing) while aligning with the Head of API Sales to support our strategic goals and collaborating with our marketing and product teams. The day-to-day: • Proactively build and nurture a healthy sales pipeline by identifying and targeting high-potential accounts using a mix of outbound strategies (cold calling, LinkedIn outreach, webinars, events)., • Drive collaboration with other client-facing teams and marketing to enhance inbound opportunities., • Develop & demonstrate consultative selling techniques., • Act as a trusted advisor to prospects, understanding their needs and challenges, and tailoring solutions to demonstrate the value and impact of our product in a competitive and evolving market., • You're a pro at managing a clean, high-performing pipeline. You know your CRM inside out, keeping every deal, note, and stage up to date. You bring structure and clarity to the sales process, ensuring nothing falls through the cracks., • You bring an entrepreneurial mindset to your prospecting. You're not just here to close, you're here to build, test, and improve the entire approach. You build your own pipeline from scratch, finding creative ways to engage prospects., • Strong outbound sales experience, including both digital and in-person prospecting (cold calling, LinkedIn outreach, events, webinars, etc.)., • You thrive on autonomy and initiative, with the ability to create your own pipeline and opportunities in a mature market., • Be Brave Everyone has a voice and the opportunity to challenge the status quo., • Be Exceptional We strive for excellence in everything we do. At Dext, we believe that diverse perspectives drive innovation and success. We are committed to building an inclusive workplace where everyone, regardless of background, identity, or experience, feels valued and empowered to thrive. We welcome applications from all qualified candidates and actively encourage those from underrepresented groups to apply. If you need any accommodations during the hiring process, please let us know.

What You Do At AMD Changes Everything At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challengesstriving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. The Role: We are seeking an exceptional Senior Director of Engineering to lead our Machine Learning workload performance and optimization team across various frameworks and model architectures. This is a highly visible role with large scope and impact. As Senior Director of ML workload performance, you will lead and build a team of experts in ML, optimizations and system level software focusing on getting the best performance on multiple generations of AMD GPUs with a wide range of models including the latest state-of-the-art AI models. You will set strategy and roadmap for general optimization and accelerating supporting new models. Furthermore, you will be working with customers and business units on performance projection, analysis and come up with novel solutions to satisfy partner needs. And participating in standard performance benchmarks. If you are passionate about performance optimization, getting the best out of the HW, and shaping the future of AI acceleration, then this role is for you. The Person: The ideal candidate will have a proven track record of building and leading a world-class performance engineering team. Experience with ML hardware architecture, software optimization, performance modeling and latest trends in inference and training. Experience in mapping model architecture to low-level software, hardware and understanding the impact of each layer of the stack to model performance. Strong knowledge in the latest generative model architecture, especially SoTA models, distributed inference and deployment at scale is crucial. Key Responsibilities: Set strategy and roadmap for AMD model optimization. Lead, mentor and scale a world-class high performance team focused on ML workload optimization. Performance tuning, profiling and analysis of large-scale models for LLM, diffusion, multimodal, RecSys and generative AI, single node and distributed. In addition to exploring various tradeoffs and design decisions. Partner with the business, customer solution, and various engineering organizations to deliver the best performance across AMD GPUs. Participate in hardware-software co-design for future hardware optimization on various ML workloads. Develop and improve framework, tools and infrastructure for performance estimation, modeling and reporting. Communicate and present the results of the performance analysis and modeling to customers, stakeholders, and senior leadership. And provide a concrete recommendation. Cross team collaboration and working across the organization to identify opportunities and develop strategies. Preferred Experience: 20+ years of experience leading a performance engineering team. Strong technical expertise and experience in performance analysis, projection, and hardware architecture. Strong leadership skills, ability to work collaboratively with customers and cross-functional teams. Mentor, coach, and inspire a diverse and talented team of researchers and engineers. Excellent written, verbal, and presentation skills, ability to coordinate internally and externally. Academic Credentials: A PhD or Master plus equivalent experience in computer science, electrical engineer, or a related field.

In our 'always on' world, we believe it's essential to have a genuine connection with the work you do. RUCKUS Networks builds and delivers purpose-driven networks that perform in the tough, unique environments of the industries we serve. Leveraging network assurance and enterprise-wide automation driven by AI and machine learning (ML), we empower our customers to deliver exceptional experiences for every employee, guest, customer, student, and resident who counts on those networks to connect with their digital lives. How You'll Help Us Connect The World: RUCKUS is searching for a Territory Account Manager to strategically manage its business for the DMV territory. This critical role drives revenue, increases market share, develops strong customer and partner relationships, and develops new business. In this role, you will execute the sales go-to-market strategy and work with channel partners to apply a hands-on approach to driving sales and channel functions. Candidate residence within territory is required. Requirements: • Experience working with IT and/or networking and wireless products with the ability to tap into technology to provide valued added business outcomes., • Establishes a professional working relationship (up to the executive level) with clients and prospects to develop a core understanding of the unique business needs., • Prospect and nurture growth opportunities using the account planning process; actively manages planning process through scheduled reviews and updates., • Build and drive the execution of a territory account plan that includes working with partners and internal specialists to increase win rate., • Demonstrated experience selling complex solutions, value selling, and/or consultative sales techniques., • Cultivate relationships with our channel partners to bring channel-centric go-to-market approach for our customers., • Demonstrates in-depth knowledge of the full sales cycle and the ability to follow a structured sales process., • Proficient in the understanding of forecast methodologies and provide weekly updates., • Excellent time management skills, and work with high levels of autonomy and self-direction., • Ability to manage excellent Sales Force hygiene., • 8+ years of proven track record in sales, technical sales, or a related field., • Technical aptitude of IP networking and wireless products, software solutions, and service offerings as well as competitive offerings., • A proven self-starter who is open to coaching and mentoring., • A positive track record of delivering and overachieving revenue goals., • Experience presenting technical solutions to technical and non-technical audiences including C-level executives in small and large group settings., • Proficient in the understanding of MEDDICC and SFDC forecast methodologies., • Bachelor, or equivalent, degree preferred. The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company's Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options. CommScope is on a quest to deliver connectivity that empowers how we live, work, and learn. Our employees push the boundaries of communications technology that enables game-changing discoveries like 5G, the Internet of Things, and gigabit speeds for everyone, everywhere. With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next..come connect to your future at CommScope. CommScope is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. If you are seeking an accommodation for the application or interview process, please contact us to submit your request at .

This role has been designated as 'Remote/Teleworker', which means you will primarily work from home. Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. HPE is seeking a motivated and skilled Senior Software Engineer to join the Advanced Programming Team within the HPC & AI Advanced Development Organization. This position is remote within the United States and requires valid U.S. work authorization. In this role, the software engineer will collaboratively solve challenges in scaling high-fidelity, discrete-event simulations on HPE supercomputers, using distributed memory and resilient execution techniques like checkpointing. There will also be the development of workflows for distributed, large-scale data analysis of traces, logs, and telemetry data from simulations and HPC systems. Distributed HPC/AI workflow development, experimentation, and testing for enabling interactive processing of large-scale telemetry datasets (terabytes to petabytes). Building solutions by composing existing open-source solutions and using distributed and parallel programming approaches for scaling data and simulation size. Actively participate in a collaborative, consensus-driven design process. Work in an Agile development environment. Create documentation, collaborate with users, and present progress in writing, slides, and verbally. 6-8 years of industry or comparable experience in software engineering. Proficiency in one or more programming languages such as C, C++, or Python. Exposure to high-performance computing (HPC) or scientific computing. Experience designing, building, or operating distributed large-scale systems in production environments. Experience with software engineering workflows, including version control, code reviews, automated testing, and CI/CD pipelines. Proficient in conveying technical concepts clearly and effectively through documentation, presentations, and design discussions. Strong analytical and problem-solving skills. Collaborating with scientists or engineers on data science, data analytics, simulations, or modeling. Experience with distributed-memory parallel programming on supercomputers or large-scale clusters. Background in digital twin software development, including integration with visualization tools and AI/ML workflows. Experience working on containerization & orchestration technologies such as Docker, Podman, Apptainer, Slurm and Kubernetes. Experience developing or supporting workflows for HPC system design and operation. Experience developing AI surrogates especially in the context of detecting real-time HPC system errors. Experience incorporating and fine-tuning LLMs to provide a chat interface for any analysis or development environment. Knowledge of parallel and discrete event simulation, especially with SST (). Familiarity with checkpointing techniques (efficiency, size optimization, recovery, persistence). Familiarity with performance debugging and optimization at scale. Familiarity with Pandas, NumPy, Dask, Spark or other data science technologies. Familiarity with Developer Operations, especially AIOps. Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

locations San Jose, California, United States time type Full time posted on Posted Today job requisition id R01484 About Altera Altera is a global leader in FPGA and programmable logic solutions, enabling a broad range of markets including data center, communications, automotive, aerospace, and industrial. As we scale our global manufacturing and quality operations to support next-generation programmable devices, we're seeking an AI-savvy engineering leader to transform the way we use data, algorithms and automation in fabrication, assembly, test, and quality systems. Role Summary In the role of Director of AI Engineering for Manufacturing & Quality, you will lead a global team responsible for architecture, development, deployment and scaling of artificial intelligence, machine learning and analytics solutions that enhance manufacturing yield, process reliability, quality assurance and operational productivity. You'll collaborate with manufacturing, quality, supply chain, data/IT, and product engineering teams to build and integrate data-driven solutions across wafer fab, packaging/test, OSAT supply chain and final product delivery. Key Responsibilities * Define the vision and roadmap for AI/ML initiatives across manufacturing and quality domains (fab, packaging, test, OSAT, final product). * Build and lead a global team of data scientists, ML engineers, software engineers and manufacturing/quality-domain experts to deliver end-to-end AI solutions. * Architect infrastructure and platforms for large-scale data ingestion, real-time analytics, predictive models, root-cause diagnostics, anomaly detection, visual inspection, and process optimization. * Collaborate with manufacturing operations, packaging/test engineering, OSAT partners, quality assurance, reliability engineering, and supply chain teams to identify high-value use-cases (yield improvement, defect reduction, cycle time reduction, scrap minimization, predictive maintenance). * Oversee the design and deployment of machine learning models, computer vision systems (for visual inspection), advanced statistical analytics, digital twins, and process simulation, with the goal of converting data insights into action. * Drive integration of AI solutions into manufacturing lines and quality systems: pilot to scale to sustain, ensuring interoperability, monitoring, MLOps practices, model governance, data integrity, and business value realization. * Establish KPIs and dashboards to monitor performance of AI/ML solutions: yield lift, defect rate reduction, on-time release, cost per unit reduction, quality escapes, cycle-time improvements. Provide regular executive updates on progress, ROI, and strategic alignment. * Build cross-functional partnerships with IT/data platform teams, manufacturing automation/industry 4.0 initiatives, supply chain analytics, and product engineering to ensure data architecture, tooling, and governance are aligned to AI strategy. * Identify, evaluate and deploy emerging technologies (edge AI, computer vision, deep learning, reinforcement learning, digital twin, IoT sensor fusion) to maintain competitive advantage and manufacturing leadership. * Manage budget, resource allocation, vendor/consulting relationships, and staffing for the AI engineering organization. * Cultivate a culture of innovation, experimentation, and continuous improvement: lead capability building, mentorship, and alignment of team goals with organizational objectives. Minimum Qualifications: * Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Manufacturing Engineering, or a related field. Advanced degree (MS or PhD) preferred. * 12+ years of experience in advanced analytics, machine learning, AI engineering or software engineering within manufacturing, quality, or semiconductor industry environments, with at least 5 years in a leadership or director-level role. * Demonstrated success developing and deploying AI/ML solutions at scale: predictive maintenance, visual inspection, yield optimization, defect reduction, or manufacturing productivity improvements. * Strong technical hands-on background: data science, ML model development, MLOps, computer vision, sensor data, edge computing, big data platforms. * Deep understanding of manufacturing operations, quality systems, semiconductor backend/OSAT flows, yield/yield-risk metrics, process control, automation, statistical process control. * Excellent strategic thinking, cross-functional leadership and business acumen: ability to translate manufacturing/quality problems into AI solutions, measure business value and drive change. * Excellent communication and stakeholder management skills: able to present to senior leadership, influence technical and business partners, and lead a global team. Preferred Qualifications: * Experience in semiconductor manufacturing or packaging/test environments (fab, OSAT, test floor, quality escapes). * Familiarity with FPGA or programmable logic device manufacturing flows, high-volume manufacturing, multi-site operations, supply chain constraints and quality challenges. * Experience with Industry 4.0 initiatives, smart factory, IoT sensor networks, digital twins, edge AI deployments. * Knowledge of cloud and on-premise data architectures, big data tools (Hadoop/Spark), ML platforms (TensorFlow, PyTorch), MLOps frameworks, and data governance. * Experience managing vendor/consulting engagements, AI tool evaluation & procurement, and building enterprise-grade AI platforms. * Prior experience scaling global engineering teams, driving culture change, and embedding analytics capability into manufacturing/quality functions. Regular Shift 1 (United States of America) San Jose, California, United States All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

About Telnyx Telnyx is an industry leader that's not just imagining the future of global connectivitywe're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications. We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team. Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers. We aren't just looking for a marketer; we are looking for a Pipeline Architect. We are hiring our first full-time Partner Marketing Manager to build a revenue engine from the ground up. In this foundational role, you won't just create contentyou will mobilize our ecosystem of GSIs, TSDs, and MSPs to become an extension of our sales force. Your mandate is clear: Get partners to start creating opportunities for Telnyx. You will compete for partner mindshare, equip them with "ready-to-sell" campaigns, and drive a measurable increase in deal registrations and pipeline velocity. 1. Activate the Partner Sales Force • Turn Partners into Sellers: Move beyond generic "enablement." Build high-impact sales playbooks, battle cards, and "reason-to-call" scripts that give partner sellers the confidence to pitch Telnyx to their Enterprise clients immediately., • Drive "Thru-Partner" Demand: Design and deploy scalable "Campaign-in-a-Box" kits that allow partners to launch lead-gen campaigns with zero friction. If a partner wants to run a campaign, you ensure they can do it in 24 hours. 2. Execute High-Impact Co-Marketing • Pipeline-Focused Events: Move beyond logo placement. Orchestrate joint roadshows, steak dinners, and targeted workshops designed specifically to unstick stalled deals and open new doors., • The "Event-in-a-Box" Framework: Create a repeatable event framework that allows regional teams and partners to spin up local field events quickly, ensuring we maximize face time with prospects without reinventing the wheel. 3. Build the Foundation for Scale • Systematize Success: Establish the frameworks for how we handle co-marketing requests, MDF (Marketing Development Funds) allocation, and asset delivery. You will build the machine that allows us to scale from 10 active partners to 100., • Measure What Matters: You will be judged on the numbers. Specific KPIs include: Partner-Sourced Pipeline, Deal Registrations, and MDF ROI. You will track activation rates and pivot strategies based on what drives revenue., • You are a Revenue Marketer: You understand that the goal of marketing is a signed contract. You view partners not as a channel to manage, but as a sales team to motivate., • You Know the Ecosystem: You have 58+ years of B2B marketing experience, with 3+ years specifically in Partner/Channel marketing. You understand the GSI/TSD/MSP landscape and know how to cut through the noise to get their attention., • You are a Builder: You thrive in ambiguity. You don't need a playbook handed to you; you want to write it. You are ready to set the standard for how Telnyx goes to market with partners., • You are a Storyteller & Simplifier: Telnyx technology is complex; your messaging shouldn't be. You can distill technical capabilities into clear commercial value propositions that a partner sales rep can memorize and repeat., • You are a Data-Obsessed: You live in Salesforce and Excel/Sheets. You know exactly which partners are producing pipeline and which ones need activation., • Direct experience leveraging Global Systems Integrators (GSIs) and Technology Services Distributors (TSDs) to penetrate Enterprise accounts., • Familiarity with the telecom, CPaaS, Voice API, or AI infrastructure landscape., • Experience with PRM tools (PartnerStack, Salesforce communities) and Marketo., • Design chops (Canva/Adobe) to make quick edits to keep campaigns moving fast.

Our team at The RealReal is growing, and we're seeking experienced sales professionals to drive consignment business. As a Luxury Consignment Executive (LCE), you'll play a vital role in Outside Salesacquiring luxury items from clients and building both new and repeat business within your assigned territory. This role is ideal for someone who is customer-focused, self-motivated, and thrives in a quota-driven, in-home appointment sales environment. What You Get To Do Everyday • Client Outreach: Engage new and existing clients through daily outreach and in-home appointments to drive consignment activity. Develop and execute creative networking and outreach strategies to attract new consignors and foster repeat business., • Lead Generation & Conversion: Proactively build pipeline by sourcing new leads, reactivating lapsed clients, and converting marketing-qualified leads into consignors. Leverage Salesforce CRM to effectively manage a book of business., • Sales Performance: Consistently meet or exceed monthly quotas by driving key performance metrics and contributing to overall revenue growth., • Consignment Procurement & Logistics: Acquire luxury consignment items from clients and oversee the end-to-end coordination of item pickup and shipment to The RealReal's e-commerce centers., • Client Experience: Deliver a high-touch, white-glove experience throughout the consignment process to ensure client satisfaction, trust, and long-term engagement., • Contract Management & Client Consultations: Clearly present and review consignment contracts, establish pricing expectations using internal tools and luxury market expertise, and guide clients through each step of the process., • Cross-Functional Collaboration: Partner with Retail teams to support sales growth and collaborate closely with the Consignor Relations team to proactively address and resolve client concerns., • Minimum Requirements: 3+ years of proven success in performance-driven direct sales roles, with a consistent track record of meeting or exceeding targets. Exceptional ability to build rapport, earn trust, and communicate effectively regarding high-value goods / services with discerning clientele. Highly motivated, results-oriented, and comfortable operating independently in a fast-paced, field-based environment. Strong relationship-building, organizational, and problem-solving skills; excellent verbal and written communication; proficient in Salesforce (or similar CRM). Able to commit to a 40-hour workweek with occasional off-hours; must reside in the assigned territory, possess a valid driver's license (except in Manhattan, Brooklyn, and Chicago markets), maintain compliant insurance and driving record, and lift up to 25 lbs as needed. Willing and able to travel more than 70% within the designated market., • Base salary plus uncapped commission, • $2,000/month commission - top performers earning over $5,000/month, • Annual Elite Club Trip for top performers, • Monthly sales competitions (i.e. cash | prizes | site credit), • Employee Stock Purchase Plan, • 401K with Company Match, • Medical, Dental & Vision Insurance, • Paid Parental Leave, • 9 Paid Company Holidays The RealReal is the world's largest online marketplace for authenticated, resale luxury goods, with 37 million members. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have hundreds of in-house gemologists, horologists, and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by thousands of brands across numerous categoriesincluding women's and men's fashion, fine jewelry and watches, art, and homein support of the circular economy. We make selling effortless with free virtual appointments, in-home pickup, drop-off, and direct shipping. We handle all of the work for consignors, including authenticating, using AI and machine learning to determine optimal pricing, photographing and listing their items, as well as shipping and customer service. The RealReal is committed to providing an equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or Veteran status. We will consider qualified applicants for a position regardless of arrest or conviction records. At TRR, People Come First. That's why diversity and inclusion are vital to our priorities as an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision.

Develop innovative sourcing strategies that creatively navigate constraints and align with our mission, standards, and culture to effectively engage top-tier talent. Embrace a team-first approach, fostering transparent communication, exchanging constructive feedback, and continuously integrating diverse perspectives to improve outcomes. Demonstrate decisiveness amidst incomplete information, proactively identifying and managing key recruiting priorities and projects, emphasizing action and results. LOCATION On-site, Santa Clara / Remote ABOUT REEVO Reevo is a rapidly growing startup transforming AI-driven sales and revenue operations. Our mission is to simplify and streamline complex sales processes for mid-market companies and SMBs, enabling efficient scaling through intelligent, integrated platforms. Today's sales tech stacks are costly, fragmented, and hinder productivityforcing sales teams into cumbersome workflows and leaving decision-makers with poor visibility. Reevo addresses these critical challenges by providing a unified, AI-native platform designed to streamline all sales activities, deliver context-rich insights, and empower strategic decision-making. Our vision is to deliver 'revenue in a box,' helping sales teams focus on selling effectively, rather than managing disparate systems. WHO YOU ARE You thrive in fast-paced environments. At this stage we're still learning. You will wear the product hat along with engineers and business stakeholders on the founding team to focus on high impact work. You can work through ambiguity. Your experience will enable you to focus on the elements that matter most and drive clear insights that inform the team's priorities. You like to build and ship. You have opinions and can drive forward to delivery. You think strategically about prioritization. You communicate and collaborate effectively. You know how to deliver the right message to the relevant audience at the appropriate level of detail. You co-create solutions that are better than the sum of individuals' ideas. You embrace intellectual friction as a feature of improvement, not a relationship bug. WHAT YOU WILL DO Lead technical recruitment end-to-end, from role definition through successful onboarding. Create and enhance recruiting infrastructure, including structured interview processes, clear job descriptions, candidate evaluation frameworks, and analytics dashboards. Act as a strategic advisor and problem solver for hiring managers, clarifying talent needs, aligning expectations, and facilitating swift hiring decisions. Continuously optimize the candidate experience, balancing efficiency, rigor, and empathy, while clearly communicating complex information. Analyze recruitment metrics (pipeline health, hiring velocity, sourcing effectiveness) to inform strategic decisions and drive continuous improvement. Professionally represent Reevo, building lasting relationships and clearly articulating our value proposition in competitive talent markets. WHAT WE'RE LOOKING FOR 8+ years of technical recruiting experience, ideally within high-growth startups or dynamic tech environments. Proven success recruiting for software engineering roles (infrastructure, data engineering, machine learning, full-stack), employing automated sourcing, outbound recruiting, and impactful candidate engagement. Demonstrated expertise in building scalable recruiting processes and systems from conception to implementation. Exceptional communication skills, adept at conveying complex ideas clearly, influencing stakeholders, and building trust. Strong commitment to delivering outstanding candidate experiences, understanding their direct impact on hiring outcomes. Effective at prioritizing and managing multiple recruiting initiatives strategically and tactically. Proficiency with modern recruitment tools (Lever, Ashby, Gem, LinkedInRecruiter). Capable of recruiting effectively across technical and non-technical roles.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA. Strong foundational knowledge in machine learning and deep learning algorithms. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.

Job Description Who is Litmus Litmus is a growth-stage software company that is transforming the way companies harness the power of machine data to improve operations. Our software is enabling the next wave of digital transformation for the biggest and most innovative companies in the World – making Industrial IoT, Industry 4.0 and Edge Computing a reality. We just completed our Series B financing round, and we are looking to expand our team. Why join the Litmus team You want to be a part of something great We pride ourselves on building the most talented and experienced team in the industry who knows how to win. We work hard and the results speak for themselves. We're trusted by industry leaders like Google, Dell, Intel, Mitsubishi, Hewlett-Packard Enterprise and others as we partner to help Fortune 500 companies digitally transform. You want to define and shape the future At Litmus you'll have the opportunity to support and influence the next wave of the industrial revolution by democratizing industrial data. We're leading the industry in edge computing to feed artificial intelligence, machine learning and other applications that rapidly change the way manufactures operate You want to build and shape your career Join a growth-stage Silicon Valley company to build and define your career path in an environment that allows you to progress rapidly. Bring your unique experience, talent and expertise and add to it by collaborating with and learning from the brightest people in the industry. We are committed to hiring great people who are passionate about what they do and thrive on winning as a team. We welcome anyone and everyone who wishes to join the Litmus marketing team to apply and share their career experience, dreams and goals with us. The Role We're hiring an IT Systems Specialist to own on-site IT operations at our Santa Clara HQ. You'll be the primary owner of our 8-node VMware vCenter cluster, office network, and local infrastructure (NAS, UPS, server room), while also handling U.S.-based onboarding/offboarding and helping drive down our IT ticket queue. This is a high-impact, hands-on role with a lot of autonomy: you'll be the go-to IT expert on site, partnering closely with our Toronto-based IT lead and global engineering teams. What You'll Do On-prem infrastructure (vCenter, servers, NAS, UPS) * Own day-to-day operation, monitoring, and lifecycle management of our 8-server VMware vCenter cluster (capacity planning, patching, upgrades, performance tuning). * Manage NAS storage, backups, and recovery procedures for lab and production environments. * Lead stabilization of power and HVAC for the server room in partnership with Facilities, including: * Right-sizing workloads on the cluster. * Reviewing and improving UPS configuration and load. * Implementing monitoring/alerting for power, temperature, and capacity. * Document runbooks, configurations, and recovery procedures. Office network & site reliability (Santa Clara) * Own Santa Clara office network operations: switches, Wi-Fi, firewalls, VPN, and ISP connectivity. * Implement and maintain network segmentation, secure remote access, and QoS for engineering/test workloads. * Proactively monitor network health, investigate incidents, and drive root-cause fixes, not just workarounds. End-user IT & ticket queue * Serve as the on-site point of contact for employees in Santa Clara: deskside support, conference rooms, demo labs, and visitor setups. * Work tickets from the global IT queue (we currently see ~250 per month) with a focus on SLA adherence and backlog reduction. * Identify recurring issues and drive automation or process changes to prevent them. Onboarding, offboarding & asset management (U.S.) * Own U.S.-based onboarding/offboarding: hardware provisioning, account creation/deactivation, access management, and first-day support for new hires. * Maintain accurate asset inventory for laptops, peripherals, lab equipment, and network/compute hardware. * Partner with HR and Security to ensure compliant account and device handling during offboarding. Security, compliance & continuous improvement * Implement and maintain best practices for endpoint management (MDM, patching, endpoint protection) in coordination with Security. * Contribute to access control, MFA enforcement, and secure configuration baselines for servers, network devices, and SaaS apps. * Propose and lead small to medium projects to modernize our stack (e.g., monitoring improvements, consolidation or cloud offload of lab workloads). What You Bring * 5+ years in hands-on IT infrastructure / systems administration / site IT roles supporting a technical organization. * Strong experience with VMware vSphere/vCenter in a multi-host environment (capacity management, HA/DRS, templates, snapshots, upgrades). * Solid understanding of networking fundamentals: TCP/IP, VLANs, routing, firewalls, VPNs, and Wi-Fi in an office setting. * Experience operating and troubleshooting on-prem server hardware, NAS/SAN storage, and UPS systems. * Comfortable supporting both Windows and Linux servers and endpoints. * Experience with modern ticketing systems (e.g., JIRA, Zendesk, ServiceNow or similar) and a disciplined approach to documentation. * Ability to work independently on site while collaborating with a globally distributed IT and Engineering team. * Strong communication skills and a calm, customer-oriented approach under pressure. Nice to have * Experience in a software or IIoT / industrial tech environment. * Scripting abilities (e.g., PowerShell, Bash, Python) for automation. * Familiarity with monitoring/observability tools (e.g., DataDog, New Relic, Grafana, etc.). * Experience with identity and access management (SSO, SAML/OIDC), MDM/endpoint management, and security tooling. Work Environment & Physical Requirements * This role requires regular on-site presence in Santa Clara to manage physical infrastructure and support the office. * Ability to safely lift and move IT equipment (servers, UPS units, monitors, etc.) up to approximately 50 lbs, with reasonable accommodations as required by law. If you need a reasonable accommodation at any stage of the application or employment process, including to perform essential job functions, we will work with you in accordance with applicable laws. Find us at

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