Trabajos python en Sunnyvale, CaliforniaCrear alertas

About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond. We are seeking a highly skilled, experienced Consulting Solutions Engineer to work as part of the sales team and manage one of the largest strategic accounts in the Hi-Tech vertical. The ideal candidate will have a strong background in artificial intelligence (AI) and extensive experience with NetApp data management solutions. The role has a broad scope of responsibility and requires a solid understanding of both business and technical strategy. You will play a crucial role in developing and executing technical account strategies, fostering strong relationships with key stakeholders, and using in-depth product knowledge to provide technical expertise to the sales team and customers through sales presentations and product demonstrations in a fast-paced environment. Additionally, the candidate will collaborate closely with the sales team to drive customer engagement and satisfaction. *The candidate hired must be located in the Bay Area, CA to be near our customer's HQ for weekly meetings. Key Responsibilities: 1. Solution Design and Implementation: • Lead the design and implementation of AI-driven solutions that meet client requirements., • Develop and optimize data storage architectures using NetApp technologies., • Ensure seamless integration of AI models and algorithms with NetApp solutions. 2. Technical Leadership: • Lead, conduct technical workshops and training sessions for internal teams and clients/customers., • Engage with customers, prospects, partners, and other stakeholders to understand their business needs and objectives., • Stay current with industry trends (technologies, competitive landscape, DevOps, etc.), regulations, and the latest advancements in AI and NetApp storage technologies. 3. Client Engagement: • Collaborate with clients to understand their business needs and technical requirements., • Able to build financial and commercial arguments for TCO, ROI, and procurement methods., • Present technical solutions and proposals to clients, demonstrating the value of NetApp solutions, • Provide ongoing support and troubleshooting for deployed solutions. 4. Sales Collaboration: • Partner and collaborate with the sales team to identify and pursue new business opportunities., • Assist in the development of sales strategies and proposals to meet client needs., • Participate in sales meetings, presentations, and negotiations to support the sales team., • Work closely with cross-functional teams, including data scientists, software developers, IT operations, and sales., • Communicate complex technical concepts to non-technical stakeholders., • Document solution designs, implementation plans, and technical processes., • Work with customers and partners to implement best practices for data management, storage efficiency, and scalability. 5. Customer Obsession: • Demonstrate a strong commitment to customer satisfaction and success. 6. Other: • Excellent communication and presentation skills. Represent NetApp at corporate events, speak at small round-table events or to larger audiences., • Organically build firm business relationships with customers and be the trusted advisor. · 12+ years of experience in solutions engineering, with a focus on data storage and AI (artificial intelligence). · Strong expertise in AI technologies, including machine learning, deep learning, and natural language processing. · Extensive experience with NetApp solutions, and not limited to ONTAP, StorageGRID, E-Series, and Cloud offerings is highly preferred. · Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes etc.). · Excellent problem-solving skills and the ability to work independently and as part of a team. · Strong communication and interpersonal skills. · Proficiency in programming languages such as Python, Java, or C++ is good. · Demonstrated customer obsession and a track record of selling technical solutions. · Relevant industry certifications in NetApp, AI and other industry technologies. · Knowledge of data security and compliance standards. · Bachelor’s or master’s degree in computer science, Engineering, or a related field. The OTE (On Target Earnings) Range for this position is $245,000 - 290,000 USD and will be determined by the candidate's location, qualifications, experience, and education. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why NetApp? We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time per year to volunteer with their favorite organizations. We provide comprehensive medical, dental, wellness, and vision plans for you and your family. We offer educational assistance, legal services, and access to discounts. Finally, we provide financial savings programs to help you plan for your future. If you want to help us build knowledge and solve big problems, let's talk.

About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond. At NetApp, we believe data and AI are powerful forces for good. As NetApp's Senior Pricing Program Manager, you will be responsible for analyzing and interpreting complex data sets to provide actionable insights and support data-driven decision-making within our organization. You will work closely with cross-functional teams to identify business problems, develop analytical models, and deliver data-driven solutions. You will play a key role in a pricing strategy rollout and drive the adoption of new tools for pricing management, while reporting impact to NetApp’s executives. This role requires US Citizenship and will work from our San Jose Office 2 days per week. You will be responsible for business strategies using our dynamic pricing model: • Conduct necessary analysis to support pricing guidance decisions on product launches and evolving business situations:, • Collaborate with stakeholders to understand business objectives and challenges, identifying key business problems that can be addressed through data analysis., • Conduct exploratory data analysis to identify patterns, trends, and correlations, and apply statistical techniques and data mining methods to extract insights from data., • Data visualization and reporting:, • Provide data-driven recommendations and insights to drive business growth and efficiency, • Define requirements for dashboards and reports for use with leadership and stakeholder reviews, as well as for tool updates and maintenance., • Communicate insights and recommendations to stakeholders at various levels of the organization on initiative and program tracking., • Ensure data accuracy, integrity, and consistency in reporting and visualization., • Integrity of dynamic pricing model:, • Validate pricing model and rules to ensure business strategies and requirements are met., • Proven track record of leading pricing transformation projects, including the implementation of pricing tools, systems, and governance processes to enhance pricing effectiveness, • Running complex pricing analytics across various product lines and market segments to inform pricing decisions and strategies, • Deep understanding of hardware management with a strong understanding of storage markets and cloud data services, including industry trends, market dynamics, and competitive forces, • Collaborating with cross-functional teams (e.g., sales, deal desk, finance, and product management) to ensure pricing strategies align with business objectives and market conditions, • Excellent communication and presentation skills, with the ability to translate complex analysis into actionable insights, • Strong analytical and problem-solving skills, with the ability to work with complex and large datasets, • Strong attention to detail and the ability to work independently and in a team environment, • US Citizen required, working from our San Jose Office 2 days per week, • Required, • Bachelors degree in mathematics, or computer science, • 4-5 years B2B pricing experience, • Knowledge of statistical analysis techniques, machine learning algorithms, and predictive modeling, • Proficiency in data analysis tools and programming languages; Python, SQL and Excel, • Experience with data visualization tools such as Tableau, Power BI and familiarity working with SFDC and CPQ tools, • Preferred, • A Master’s degree in quantitative fields such as data science, mathematics, statistics, or computer science, • 2+ years in consulting, and/or pricing advisory Compensation The base salary range for this position is $164,000 - $262,000 and will be determined by the candidate's location, qualifications, experience, and education. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why NetApp? We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time per year to volunteer with their favorite organizations. We provide comprehensive medical, dental, wellness, and vision plans for you and your family. We offer educational assistance, legal services, and access to discounts. Finally, we provide financial savings programs to help you plan for your future. If you want to help us build knowledge and solve big problems, let's talk.

Our client, a leader in cutting-edge technology, is seeking a Silicon Validation Engineer (Mid to Senior Level) to join their team. As a Silicon Validation Engineer, you will be part of the hardware engineering department supporting innovative silicon technologies. The ideal candidate will have strong analytical skills, excellent communication abilities, and a collaborative mindset which will align successfully in the organization. Job Title: Silicon Validation Engineer (Mid to Senior Level) Location: Mountain View, CA (On-site required) Duration: 18 Month Contract Pay Range: Competitive What's the Job? • Develop and execute validation test plans for SoC features and subsystems across functional, electrical, and power/performance domains., • Own post-silicon validation and debug for areas such as power delivery, IO, memory controllers, PCIe, and more., • Run, triage, and maintain silicon system regressions and report results., • Design and implement silicon debug tools and automation frameworks., • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Electronics and Communication Engineering, or a related field., • 5–7 years of experience in silicon validation, testing, or debugging., • Proficiency in Python, C, and C++ for scripting and automation., • Solid understanding of computer architecture and SoC design principles., • Opportunity to work on cutting-edge silicon technologies., • Collaborative and innovative work environment., • Chance to contribute to the development and enhancement of validation methodologies., • Engagement with cross-functional teams to solve complex problems. About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Job DescriptionThis Jobot Job is hosted by: Holly Leahy Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: We are seeking a dedicated and detail-oriented Quality Technician to join our team. As a Quality Technician, you will play a critical role in ensuring the highest standards of quality in the manufacturing and assembly of cutting-edge electronics and components. This position will require you to collaborate closely with various teams to drive improvements and ensure products meet strict specifications and functional requirements. 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 About the Role Join a world-class team building the next generation of high-performance compute hardware for artificial intelligence and machine learning applications. We’re developing industry-leading AI accelerators that push the limits of scale, speed, and efficiency—empowering researchers and enterprises to train and deploy the largest AI models with unprecedented ease. As a Senior Design Verification Engineer, you’ll own the end-to-end verification of a critical subsystem in our next-generation AI processor. You’ll collaborate with experts across architecture, RTL design, physical design, firmware, and validation to ensure flawless execution from concept to post-silicon bring-up. This is a high-impact role where your technical insight, leadership, and creativity will directly shape the success of our products. Key Responsibilities Own and drive the full verification lifecycle for a major IP block—from initial strategy through post-silicon validation. Define and implement advanced verification methodologies, test plans, and coverage metrics that ensure top-tier quality and performance. Develop and maintain UVM-based, constrained-random and directed testbenches. Collaborate closely with architecture and design teams to review specifications and ensure functional correctness and testability. Debug complex issues spanning simulation, emulation, and silicon. Enhance verification infrastructure and flows for improved scalability, coverage, and turnaround time. Mentor and guide junior engineers, promoting best practices and technical excellence. Provide clear communication and technical leadership on progress, risks, and schedules across teams. Qualifications 10+ years of design verification experience in complex ASIC/SoC projects. Deep proficiency in SystemVerilog and UVM. Strong understanding of verification planning, coverage closure, and constrained-random methodologies. Experience with industry-standard EDA tools, simulators, and debugging environments. Skilled in scripting languages (Python, Perl, or similar) for automation and productivity. Demonstrated success in cross-functional collaboration and problem-solving. Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field. Preferred Experience Verification of memory controllers, high-performance interconnects, or compute subsystems. Exposure to emulation, FPGA prototyping, or post-silicon bring-up. Contributions to developing scalable, reusable verification environments and methodologies. Proven ability to influence verification strategy and mentor others in advanced techniques. 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. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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.

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! Job Description Your Career We are seeking a driven problem solver to join our Unit 42 Managed Detection and Response (MDR) team. Our team is responsible for customers internal security monitoring, threat hunting, and incident response. As a MDR Manager, we will rely on you to manage a team of experts who detect and respond to cyber incidents facing customers’ internal business. As a manager, you will join a team of leaders who overlook the Unit 42 MDR team to ensure premium delivery to our customers. You will have a critical role in how the team works, including creation of new processes, methodologies, and capabilities the team requires. Your Impact * Hire for and lead a team of MDR Analysts working globally. Guide the team, create and improve processes, methodologies, and capabilities that the team requires to work effectively * Lead a team that analyzes incidents from real customer environments to identify ongoing threats to customer environments * Provide critical feedback to different Product, Research, and Engineering teams to help improve the products for the entire Palo Alto Networks’ customer base * Work closely with Security Research, Threat Intelligence, and Threat Hunting teams to remediate and detect new emerging threats Qualifications Your Experience * At least 3 years of team management experience, global management experience (world-wide team) is a plus * Great interpersonal skills and a proven experience collaborating with customers * Understanding of the threat landscape in terms of the tools, tactics, and techniques of attacks, as well as networking and security fundamentals * Basic hands-on coding skills (e.g. Python) * Excellent written and oral communication skills * Experience investigating targeted, sophisticated or hidden threats * Background in forensic analysis and incident and response tools to identify a threat and determine the extent and scope of a compromise * Experience with investigative technologies such as SIEM, packet capture analysis, host forensics, and Endpoint Detection and Response tools * Understanding of how APTs operate and the attack cycle – different attack vectors, propagation and data exfiltration, lateral movement, persistence mechanism, etc. * Understanding of how organizations protect themselves from cyber-attacks, what tools are used and what remediation techniques are leveraged * Advantages * Having worked in SOC analysis or an investigation environment * Having worked in Incident Response environment Additional Information The Team The team you’ll lead helps protect customers by identifying the most sophisticated & stealthy attacks in their environment. The team does so by leveraging the Cortex product suite as well as unique tools, methodologies, and techniques. Cortex provides enterprise-scale detection and response that runs on integrated endpoint, network and cloud data — reduce the noise and focus on real threats. This team works closely with different product groups and helps improve each and every product by providing first-hand insights into how the product is used and how it can perform even better. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $158,000 - $254,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Leverage exposure to embedded systems to contextualize hardware-generated data and troubleshoot data inconsistencies. The role involves building Tableau dashboards, Python scripting, and working with hardware-generated data. Manage and process large datasets, including uploading and parsing CSV file

Job Title: Crypto Developer Job ID: 1616624BR Position Type: Full-time Location: San Jose, CA (Onsite) Role/Responsibilities Design and develop the command-line WBC Generator tool, primarily in C/C++. Develop and maintain the obfuscation modules within the Hardening Engine using tools like Python, L

Job Title: Customer Implementation Engineer Job Location: Palo Alto California 94020 Onsite Requirements: Remote Strong software development (Python, JS) + APIs + SQL; comfortable building small services and ETL-style workflows Integration patterns: auth, webhooks/queues, retries/idempotency, loggin

\n \n\n\n Cloud Software Engineering Manager - Kohler Ventures \n \n Work Mode: Hybrid \n \n Location: Hybrid, 3 days/week\nin Palo Alto, CA or New York City, NY Opportunity Kohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Our mission is to build new digital businesses that empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and innovations developed through the integration of leading-edge technology, science, and design. Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships. Our locations are Palo Alto, CA US, New York City, NY US, Kohler, WI US, Seoul, Korea, and Tel Aviv, Israel. The role reports to the Head of Software\nEngineering and is responsible for managing a team of 5+ Backend, Full-Stack,\nand Front-End engineers, while also performing hands-on technical work and\ncoding as required. In your role as Software Engineering Manager at Kohler Ventures you will • Work directly with the Head of Software, software engineering team, and product teams., • Strategic Planning: Guide the team in designing and implementing data systems that adhere to modern high throughput architectures while keeping privacy as a top priority., • Team Leadership: Manage and mentor a team of Cloud Engineers, fostering an environment of continuous learning and innovation., • Project Management: Oversee multiple projects, ensuring they are delivered on time and meet quality standards., • Collaboration and Communication: Serve as the key point of contact between the data engineering team and other departments, translating technical concepts into business solutions., • Data Quality Oversight: Ensure the team maintains high standards for data quality and consistency across all stages of the data lifecycle. Required Qualifications: • Bachelor's degree in a Computer Science, Engineering, or related technical discipline., • 5+ years of experience in leading teams that design and development software for cloud systems or in a similar role., • Strong leadership skills and experience managing a technical team., • Deep understanding of data structures, algorithms, and distributed systems., • Expertise in programming languages such as Python, Javascript, or Typescript., • Availability to work outside of standard business hours as needed to be able to collaborate with teams across multiple time zones., • Ability to travel 10% if needed both domestically and internationally., • Knowledge of the data engineering lifecycle., • Experience with cloud services (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)., • Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions., • Strong ability to communicate complex technical and management information clearly and concisely. #LI-NR1 #LI-Hybrid \n \n The approved base salary range for this position is\n$139,750 - $174,700. The actual base salary offered to a candidate may be\nhigher than the approved range. This will vary depending on a variety of\nfactors including the candidate’s experience, their education, and the work\nlocation. This position is subject to Area Salary Differential (Cost of Living\nAdjustment) that ranges from 24.5%-30% of base salary for the San Francisco Bay\narea. The approved base salary range including ASD for this position is $181,675\n- $ 227,110d depending on location. In addition, this position is eligible for\na performance bonus and a special project incentive. Available benefits\ninclude medical, dental, vision and 401k. \n \n Why Choose Kohler? \nWe empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we’re driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. \n \nAbout Us It is Kohler’s policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact . Kohler Co. is an equal opportunity/affirmative action employer. \n \n \n\n\n

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities • verify custom chip designs at the SOC level, • integrate 3rd party IPs and VIPs into the SOC testbench, • create comprehensive testplans, write robust random testcases, and execute coverage plans, • maintain autosmoke and regression infrastructure, • dive deep into bugs and triages, • mentor junior engineers BASIC QUALIFICATIONS- BS Degree or Higher in EE or CS or CE. • 8+ years of design verification experience using System Verilog and UVM, • 8+ YOE in testbench development including: stimulus, checkers, assertions and coverage PREFERRED QUALIFICATIONS- Experience verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and fullchip SOC system testing. • Experience using multiple verification platforms., • Experience with C/C++ and Object-Oriented Programming., • Experience with scripting languages, for e.g. Python., • Experience with AMBA protocols, for e.g. AHB/APB/AXI, • Experience with interconnect protocols, for e.g. PCIe and UCIe, • Experience with memory sub-systems, including cache coherency and synchronization techniques, • Experience with verifying complex CPU, GPU, or ML accelerator designs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

\n \n\n\n Software & Firmware Quality Engineering Manager - Kohler Ventures \n \n Work Mode: Hybrid \n \n Opportunity Location: Palo Alto, CA or New York City, NY (Midtown Manhattan) - Hybrid 3 days/week onsite Kohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Our mission is to build new digital businesses that empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and innovations developed through the integration of leading-edge technology, science, and design. Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships. Our locations are Palo Alto, CA US, New York City, NY US, Kohler, WI US, Seoul, Korea, and Tel Aviv, Israel. We are seeking a highly motivated and experienced Software and Firmware Quality Engineering Manager to lead and manage a team of 6+ talented Software and Firmware QA Engineers. In this role, you will be responsible for driving the overall quality strategy, ensuring best-in-class software and firmware products, and fostering a high-performance team culture. You will report to the Head of Software Engineering and will work closely with cross-functional teams including Hardware Development, Product Management and GTM teams to ensure the entire development lifecycle takes a quality first approach. This role reports to the Head of\nSoftware Engineering and is responsible for managing a team of 5+ Software and\nFirmware Quality and Test Automation Engineers, while also performing hands-on technical work as required. In your role as Software and Firmware Quality Engineering Manager Lead at Kohler Ventures you will: • Work directly with the Head of Software, software/hardware engineering team, and product teams, • Lead, mentor, and manage a team of 6+ Software and Firmware QA Engineers, • Define and drive quality assurance processes, standards, and best practices across software and firmware development cycles, • Oversee the deployment and integration of test automation into the CI/CD pipeline., • Oversee the planning, development, and execution of test strategies, test plans, and test cases for both manual and automated testing, • Collaborate with Hardware development teams to ensure quality is embedded throughout the SDLC, • Coordinate and prioritize testing activities to meet release schedules and project milestones, • Implement and monitor quality metrics and KPIs to assess product quality and team performance, • Identify and mitigate risks related to product quality and delivery timelines, • Advocate for continuous improvement in QA practices, tools, and methodologies Required Qualifications • You hold a bachelor’s degree in computer science, Engineering, or related field., • 7+ years of experience as a Software QA Engineer, with at least 3 years in a team management role, • Experience in development using Python, • Experience with functional, regression, and end-to-end testing, • Experience with test automation tools/frameworks such as Appium, Espresso or XCUI., • Experience validating iOS, Android, • Ability to translate business requirements into test plans and develop test automation at all layers of the software stack, • Minimal travel, both domestically and internationally, is needed, • Excellent communication, organizational, and problem-solving skills, • Availability to work outside of standard business hours to be able to collaborate with teams and vendors across multiple time zones, • Knowledge in software and hardware/firmware and information security for cloud and IoT devices, • Experience validating embedded firmware for IoT devices #LI-NR1 #LI-Hybrid \n \n CUSTOM.PAY.TRANSPARENCY \n \n Why Choose Kohler? \nWe empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we’re driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. \n \nAbout Us It is Kohler’s policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact . Kohler Co. is an equal opportunity/affirmative action employer. \n \n \n\n\n

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. Reimagine the Future of Cloud-Enabled Networking. Join our elite engineering team at RUCKUS to lead the architecture and development of our next-generation Cloud and Edge Networking Platform. We are building a converged network-as-a-service platform that combines high-throughput, low-latency network services with a cloud-native management plane powered by AI/ML. As a Distinguished Software Engineer, you'll play a pivotal role in shaping the foundation of a platform designed to scale globally, simplify operations, and deliver exceptional user experiences across both wired and wireless infrastructures. You'll be at the intersection of cloud-native technologies, distributed systems, and networking. We are looking for an ideal candidate who is Passionate about building performant systems that operate at global scale with millions of users and devices. How You’ll help us connect the world: • Architect the Future: Design and build scalable, high-performance systems, including Cloud-Native Functions (CNFs), Virtual Network Functions (VNFs), and microservices that power our SmartEdge and cloud management platforms., • Lead Innovation: Drive the evolution of our edge networking stack, including control and data planes, routing, security, and traffic optimization., • Build for Scale: Leverage containerization and orchestration tools (Docker, Kubernetes) to deploy resilient, cloud-native services across AWS, GCP, Azure, and OpenStack environments., • Deliver Business Impact: Partner with product and business teams to translate vision into actionable, scalable architecture and elegant solutions., • Mentor and Inspire: Serve as a technical leader and mentor, championing engineering best practices, clean architecture, and performance optimization across teams. Required Qualifications: • Master’s or Bachelor’s in Computer Science, Electrical Engineering, or a related field., • 15+ years in software engineering with a strong track record of delivering cloud-native, low-latency, distributed systems at scale., • Languages: Proficiency in C, C++, Python, Go., • Cloud & Containers: Docker, Kubernetes, AWS/GCP/Azure, OpenStack., • Networking: Deep expertise in IP networking, routing protocols, Linux-based systems, network security, and traffic control., • Microservices & Messaging: Kafka, RabbitMQ, Redis, Memcached, REST APIs, Elastic Search., • You’ll excite us if you have:, • Experience with Snowflake or similar data platforms ., • Prior experience in startup or high-growth environments . Why CommScope? 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 -$210,000.00 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.

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. We’re adding a hands-on Principal Technical Marketing Engineer (TME) to the RUCKUS Networks Technical Marketing team. This role is based in Sunnyvale, California, United States — Onsite, 5 days/week. You’ll build and run lab environments and PoCs, create standout technical content, enable Sales Engineering, and act as a subject-matter expert for campus networking (Wi-Fi, switching, NAC, security, cloud, analytics). Key Responsibilities : • Labs, demos & PoCs: Design, build, and maintain TME/solutions labs; create repeatable demos and proof-of-concepts for field and customers., • Technical content: Produce reference architectures, best-practice guides, feature briefs, presentations, training decks, demo scripts, and short videos., • Competitive & positioning: Analyze competing solutions; articulate technical differentiators and arm Sales/SEs with clear battlecards and talk tracks., • SE enablement: Build enablement tools (labs, guides, demos) and support field engagements, including customer-facing technical presentations. Requirements: • 7+ years in systems engineering, technical marketing, QA/lab, or solutions engineering (enterprise networking)., • BS in EE/CS/CE (or equivalent experience)., • Deep expertise in enterprise campus networking: Wi-Fi/RF (802.11 a/b/g/n/ac/ax/be), switching/routing (L2/L3, VLANs, STP, OSPF/BGP, multicast), NAC, network security (NGFW/UTM, SD-WAN), cloud-managed networking, analytics/AIOps, and IoT design considerations., • Hands-on with automation/scripting (Python, Ansible, Bash) and test tools (Wireshark, Ixia/Chariot or similar)., • Proven ability to craft high-quality technical documents, presentations, and demo videos for technical and executive audiences., • Excellent communication, collaboration, and presentation skills; comfortable leading demos and deep dives with customers and partners., • Experience leveraging AI/LLM tools for content and productivity is a plus. You’ll excite us if you have: • Industry certs (CWNA, CCNP, etc.) or other OEM certifications., • Familiarity with ZTNA, SASE, SSE architectures., • Prior experience designing labs and scalable PoC frameworks. 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 $135,600.00 - $190,000.00 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 tomorrow. 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 ___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 #LI-ONSITE #LI-CB1

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role At xAI, we're shaping the future of AI by ensuring our products are safe, dependable, and exceptional for users globally. As an engineer on our Product Safety team, you'll develop advanced AI solutions to uphold trust and integrity at scale. This role is your chance to push the boundaries of AI safety through innovative multimodal developments and state-of-the-art modeling. What You'll Do • Spearhead multimodal AI capabilities and advancements with a focus on safety., • Innovate algorithms to optimize neural network performance while embedding robust safety measures., • Establish evaluation frameworks and benchmarks to assess and improve AI safety outcomes., • Partner with experts to integrate safety-focused AI features into high-impact, user-centric products., • Experienced with safety and moderation AI models., • Experienced with large-scale machine learning systems and multimodal AI development., • Adept at designing experiments and analyzing results to refine models iteratively., • Python, • Jax After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute phone screening with a member of the team. If you clear that interview, you will enter the main process, which consists of four steps: • A 45-minute coding interviews focusing on AI/ML-related questions in Python., • A 45-minute coding interviews focusing on AI/ML-related questions in Python., • A 45-minute AI/ML system design session. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role Our team is pushing the frontier of multimodal intelligence through Grok Voice, the world's smartest AI assistant that is able to listen, see, and respond to you in real time. We are actively learning to develop novel video understanding capabilities that solve user problems in both the physical and digital worlds. We own the full-stack of post-training: from data curation to model training, deployment, and iterating end-to-end on the user experience. What You'll Do • Design, and implement methods to enhance video understanding, whether through developing new models, systems, or tools., • Improve data quality by curating robust datasets, building scalable data pipelines, and analyzing user interactions with models., • Develop and apply evaluation metrics to measure model performance and systematically identify and address failure modes. You're an exceptional candidate if you have some (or all) of the following: • Experience in LLM reinforcement learning, tool use, and agentic approaches., • Experience in real-world computer vision. For example, experience in visual/multimodal search and dealing with noisy visual data., • Strong engineering background with experience working with large-scale, modern backend services., • Python, • JAX / PyTorch After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: • One-on-one discussion & coding interviews (three meetings total), • Project deep-dive: Present your past exceptional work and your vision with xAI to a small audience. $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Position As a Member of Technical Staff, you will build frameworks to improve the reasoning capability, build distributed reinforcement learning systems, techniques for inference time compute (e.g. tree search and planning), and develop environments for agents. You will get exposure and will be expected to solve and take ownership of components across the entire stack. Tech Stack • Python, • JAX, • Build robust and scalable distributed RL systems., • Optimize frameworks to enable complex inference-time reasoning., • Develop environments and harnesses for agents.Ideal Experiences, • Experienced with large-scale reinforcement learning systems., • Designing and implementing distributed systems., • Coding assessment in a language of your choice., • Systems hands-on: Demonstrate practical skills in a live problem-solving session., • Project deep-dive: Present your past exceptional work to a small audience. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the role We're looking for exceptional engineers who want to join us on a new project to integrate Grok into all parts of our Ads Platform. We're looking for individuals who have built exceptional advertising products and systems at a massive scale across bidding, auction, marketplace, ranking, prediction, and product. We're bringing xAI's technology stack to Ads Platform and using it to transform our advertising stack. What You'll Do • Leverage the latest Grok models to power all stages of our advertising stack, from candidate selection to ranking, auction, campaign optimization, creative generation, and advertiser experience. After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of 2 technical interviews and 1 project deep-dive interview: • Practical coding assessment in a language of your choice., • AI design interview: Demonstrate practical skills in a live problem-solving session. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. Tech Stack • Python / C++, • JAX, • XLA Compiler, • Develop in-house JAX or compiler/runtime features to fulfill the need of our high-performance large-scale LLM training with different hardware architecture (Hopper, Grace Blackwell)., • Develop and use innovative toolings for debugging distributed programs, profiling train steps and memory consumptions over time., • Understand CUDA runtime and its interactions with upper-level framework., • Support a wide range of cutting-edge LLM research/production tasks.Ideal Experience (at least one from below), • JAX/XLA Expertise: Deep knowledge of JAX core and its interaction with the XLA compiler and runtime., • Compiler Optimization: A strong understanding of compiler optimizations (e.g., memory assignment, scheduling, fusions) and proficiency with distributed profiling tools like xprof., • Distributed LLM Training: Hands-on experience training large-scale LLMs with JAX (on GPU or TPU) and applying various parallelism strategies to complex use cases., • Kernel Compiler Experience: Practical experience with kernel compilers such as Triton, Pallas, Mosaic, or CuteDSL., • Coding assessment in a language of your choice., • Systems hands-on: Demonstrate practical skills in a live problem-solving session., • Project deep-dive: Present your past exceptional work to a small audience. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role The omni team at xAI creates magical AI experiences beyond text, enabling understanding and generation of content across various modalities, including image, video, and audio. As a multimodal researcher/engineer, you will drive the model's image generation capability through various aspects such as data, modeling, serving and product. You will work on both pretraining and posttraining and collaborate with product teams to push the frontiers of model capability as well as the end-to-end user experience. Focus • Creating and driving research agenda to advance image and video generation and editing capabilities., • Improving data quality, developing data filtering/generation techniques, and performing data study., • Creating evaluation frameworks and internal benchmarks., • Designing and implementing effective and efficient algorithms for achieving state-of-the-art model performance.Ideal Experiences, • Track record in leading research that significantly improves the capability and performance of neural networks, whether better data or better modeling., • Experience in data-driven experiment designs and systematic analysis for iterative model debugging., • Experience in developing or working with large-scale distributed machine learning systems., • Experience in graphics engines and rendering techniques is considered an advantage., • Python, • Jax, • One-on-one research discussion & coding interviews (three meetings total) xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Senior Validation Engineering Manager A leading chip and silicon IP provider is looking to hire a Validation Manager to join its Memory Interface Chip business unit. In this full-time role, you’ll collaborate with some of the industry’s top engineers and innovators to develop products that make data faster and more secure. As the Validation Manager, you will lead and work closely with your team to validate and characterize high-performance buffer chip products. The ideal candidate will have a strong background in processor-to-memory interfaces, including DDR topologies and protocols, as well as expertise in high-speed signaling, signal integrity, and power integrity concepts. Responsibilities: Partner with internal and external cross-functional teams, across all levels of a corporation, from executives, team managers and individual contributors including development engineers, and procurement experts Own, develop and continuously adapt and improve validation methodologies and technologies to continuously improve design validation coverage and time-to-market Partner with Design, Architecture, Verification, and Operation teams to deliver high-quality buffer chip products Work with external partners in sourcing test equipment, PCB manufacturing and assembly. Lead and manage the bench validation team to execute hands-on validation and characterization of memory buffer chips Perform hands-on bench validation and lab automation software development Develop test methodologies to validate silicon designs against specifications Qualifications: Track record of growing organizations with focus on organization and validation methodology development Demonstrated ability with project planning, resource allocation, capital and operational budgeting and Develop test methodologies for validating silicon designs against specifications. Knowledge of processor / memory device architecture and specifications. Expert on Python programming, focused on validation characterization automation, and data analysis. Experience in Bench testing, with knowledge and experience on ATE or/and System Testing is a plus Minimum 5+ years of hands-on bench validation experience is required Proven experience with DDR4/DDR5 and processor/memory system architecture Demonstrated leadership experience, either as a manager (2–5 direct reports) or as an IC with team leadership responsibilities Education: B.S. or M.S. in Electrical Engineering Location: Atlanta, GA; San Jose, CA; United States Duration: Fulltime Salary Range: $170-$210K (DOE) Submit resume to No 3rd party agencies or C2C Abel Lara | 408.550.2800 x119

Seeking an AI Technical & Product Manager that can partner with internal AI platform teams, explore open-source alternatives and build AI agents for extended business unit. As the AI Technical & Product Manager, you ll drive the development and delivery of cutting-edge AI products, with a strong focus on hands-on engineering, rapid prototyping, and stakeholder alignment. The team balances quickly bringing value and making decisions that scale into a large agent system/workflow or quickly pivot to a better solution after business feedback. Collaborating with AI/ML teams, data scientists, and infrastructure organizations. Lead End-to-End Product Development: 8+ years of experience in full lifecycle of Software Engineering product development (AI preferred), from ideation and requirements gathering to prototyping, implementation, and production launch Hands-On Engineering: 4+ years of development skills building backend REST API services using Python (FAST API preferred) LLM-Focused Solution Design: 2+ experience building, architecting, or fine-tuning LLM-based solutions, with practical experience in GenAI Rapid Prototyping: Build functional prototypes that demonstrate core ability to use frameworks (e.g., LangChain, LangGraph), and a working knowledge of ML techniques Stakeholder Alignment: Facilitate alignment across business, design, and engineering teams, ensuring clarity of vision, requirements, and deliverables throughout the product lifecycle. Scrappy, Results-Oriented Execution: Embrace a pragmatic approach to problem-solving prioritizing speed, usability, and impact over. perfection, and iterating quickly to get products into production. Practical experience with asynchronous programming, type safety, threading models, state machines and data structures Experience with managed cloud platforms such as AWS, Google Cloud Platform, Azure Proficiency with containerized technologies (Docker) and familiar with orchestration platforms (Kubernetes) Bachelor s degree in computer science, Engineering, or related field, or equivalent professional experience Submit resume to Type: Contract Duration: 12 Months + (with possible extension) Location: Cupertino, CA Pay Rate Range: 65-80/h (DOE) David Gutierrez x110

Mechanical Design Engineer (Tool Design) Job Description As a Mechanical Design Engineer focused on tooling, you’ll collaborate with a cross- functional team of Hardware Engineering, Platform Design, Reliability Engineering, and global Contract Manufacturing (CM) partners. You’ll be part of a team that values precision, innovation, and early-stage design collaboration to ensure manufacturing success at scale. Looking for a mechanical design engineer with experience in tooling design Engineer who will be responsible for the conceptualization, CAD design, and engineering validation of custom tooling, fixtures, jigs, and test equipment that support high-volume electronics manufacturing. This role is centered on engineering innovation and design collaboration, not factory-floor production support. You will contribute to early-stage product design, ensuring manufacturability and quality through precise fixture and tooling design, and support NPI (New Product Introduction) into global manufacturing environments.  Engineer, design, and validate custom tooling, test fixtures, and jigs to support high- volume production.  Translate mechanical and process requirements into CAD models, engineering drawings, and detailed documentation.  Participate in design reviews and provide feedback to optimize DFM/DFT aspects of new products.  Partner closely with Hardware Engineering, Platform Design, CM partners, and Reliability Engineering teams.  Select and specify manufacturing processes (CNC, injection molding, sheet metal, coatings) as applicable to designed tools.  Drive tolerance stack-up analysis for complex mechanical assemblies.  Interface with overseas CMs and vendors to enable tool release, prototype builds, and pilot production.  Investigate and recommend new manufacturing technologies to improve quality and cost- effectiveness of tooling solutions.  Create and manage BOMs, ECOs, and revision histories (Agile PLM and Windchill PDMLink experience a plus). Qualifications  B.S. or M.S. in Mechanical Engineering.  5–7+ years of experience in mechanical design of tooling and fixtures—preferably for high- volume or precision electronics manufacturing.  Proficient in 3D CAD (Creo/ProEngineer preferred); GD&T and tolerance analysis required.  Familiarity with DFM/DFA best practices.  Experience working cross-functionally with design, test, and manufacturing engineering teams.  Understanding of common fabrication methods (CNC, molding, sheet metal), but with a focus on design and specification—not shop-floor operation.  Organized, detail-oriented, and highly self-motivated.  Work with cross functional teams to deliver on scope, tooling requirements and schedule.  Manage procurement of materials and components required for tooling projects.  Produce equipment training documentation.  Oversee technician/operator training on equipment.  Fluent in English; strong technical communication skills.  Some travel is required. Ability to travel domestically and internationally is required. Nice to Have  Experience with automated test stations or tooling incorporating sensors or software interfaces.  Familiarity with shock, vibration, and EMC test protocols.  Experience with liquid cooling systems.  Python or scripting experience for automation of test fixtures or data collection.  Exposure to Propel / Agile PLM or Windchill PDMLink systems.

Embedded Program Manager (HW/SW) Focused for global device company in Cupertino, CA Summary: In this Technical Project Manager role, a successful candidate will be working with engineers that write internal tools and applications for current and future embedded product lines, to define and manage manufacturing tests that stress a device over a few hours. Candidate must thrive in a fast-paced environment, have strong understanding of software fundamentals, background working with systems, excellent communication skills, and a desire to work with cross-functional teams to develop groundbreaking products. Responsibilities: Involvement with embedded systems, developing various device drivers and firmware Experience with Bringing up new SoCs, chipsets, sensors, and products Will work on Triage, Debug, development of scripts for generating plots & other tasks Interacting with Hardware, OS, Test, Operations, and various other cross-functional teams throughout enabling test strategies for new components in upcoming products Supporting new product development builds locally and remotely Requirements: 5-12 years Embedded systems, Device Drivers, and Firmware experience Knowledge or experience in driving HW & SW Programs Ability to read and debug C/C++ and Python programming Strong communication skills are a must Ability to drive issues, track tasks, and evaluate priorities on a daily basis Experience with hardware bring up is a plus Experience with developing tools is a plus Desired Skillsets: This person will not be actively coding, but might write up scripts to look through data, form, and create analysis. Manufacturing experience and prior exposure to working with Contract Manufacturers is highly desired Mac OS and/or iOS experience is a plus Linux command line / scripting experience is a plus BS Electrical / Computer Engineering or relevant work experience (MS is a plus) Location: Cupertino, CA (Hybrid; Tues-Thurs onsite) Duration: 6-12+ months Pay Rate Range: $80-$90/hr

Engineering Program Manager (HW/SW) Focused for global device company in Cupertino, CA Summary: In this Technical Project Manager role, a successful candidate will be working with engineers that write internal tools and applications for current and future embedded product lines, to define and manage manufacturing tests that stress a device over a few hours. Candidate must thrive in a fast-paced environment, have strong understanding of software fundamentals, background working with systems, excellent communication skills, and a desire to work with cross-functional teams to develop groundbreaking products. Responsibilities: Involvement with embedded systems, developing various device drivers and firmware Experience with Bringing up new SoCs, chipsets, sensors, and products Will work on Triage, Debug, development of scripts for generating plots & other tasks Interacting with Hardware, OS, Test, Operations, and various other cross-functional teams throughout enabling test strategies for new components in upcoming products Supporting new product development builds locally and remotely Requirements: 5-12 years Embedded systems, Device Drivers, and Firmware experience 5-12 years Program Management experience Ability to read and debug C/C++ and Python programming Strong communication skills are a must Ability to drive issues, track tasks, and evaluate priorities on a daily basis Experience with hardware bring up is a plus Experience with developing tools is a plus Desired Skillsets: This person will not be actively coding, but might write up scripts to look through data, form, and create analysis. Manufacturing experience and prior exposure to working with Contract Manufacturers is highly desired Mac OS and/or iOS experience is a plus Linux command line / scripting experience is a plus BS Electrical / Computer Engineering or relevant work experience (MS is a plus) Location: Cupertino, CA (Hybrid; Tues-Thurs onsite) Duration: 6-12+ months Pay Rate Range: $80-$90/hr

Job Title: Fraud Data Scientist Job Location: Sunnyvale CA 94085 Onsite Requirements: 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in SQL, Python, Excel including key data science libraries Job Description: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Qualification: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelor's degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science to solve complex business problems Proficiency in SQL, Python, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies Key Job Functions: Design rules to detect/mitigate fraud Develop python scripts and models that support strategies Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Expected Outcome in 6-12 months: Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. Utilize data analysis to design and implement fraud strategies Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud strategies implemented Preferred Skills: Data analytics and models Rule development Dashboard Creation Project Management Strong Communication 3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply. Not eligible This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future. Yes, W2 only This client is a US Federal Government contractor and is legally required to hire US Citizens. US Citizens will only be considered for this role. USC, GC, GC EAD

Job Title: Associate Fraud Strategy Data Scientist Job Location: Sunnyvale CA 94085 Onsite Requirements: 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in SQL, Python, Excel including key data science libraries Job Description: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Qualification: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelor's degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science to solve complex business problems Proficiency in SQL, Python, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies Key Job Functions: Design rules to detect/mitigate fraud Develop python scripts and models that support strategies Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Expected Outcome in 6-12 months: Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. Utilize data analysis to design and implement fraud strategies Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud strategies implemented Preferred Skills: Data analytics and models Rule development Dashboard Creation Project Management Strong Communication 3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply. Not eligible This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future. Yes, W2 only This client is a US Federal Government contractor and is legally required to hire US Citizens. US Citizens will only be considered for this role. USC, GC, GC EAD

Job DescriptionA World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Enablement Engineers are embedded with centralized customer success teams to maximize the outcomes of our deployed products and workflows across all commercial customers from small-scale start-ups to large enterprises. This role balances high-level support responsibilities with the development of innovative tooling and infrastructure to scale customer enablement effectively. You are a resourceful, gritty and adaptable problem solver who is able to work both collaboratively and independently to resolve difficult and nebulous technical issues, as well as work productively with external customers to debug and resolve their problems. Palantir’s Customer Success team helps our customers build on Palantir’s Foundry & AIP Platforms to drive the workflows that power their most important business outcomes. In this role, you’ll leverage your problem-solving abilities, creativity, and technical skills to support and guide customer development teams, ensuring they can effectively build and optimize their workflows. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. Every day at Palantir is different: we’re constantly evolving to better respond to customer needs, and you will have the opportunity to contribute your creativity and problem-solving to internal processes and tools that define how we deliver business value to the customer with increasing efficacy and efficiency. Every Palantirian is encouraged to play to their personal strengths, so there is no “one size fits all” approach to engineering at Palantir. The scope of this role is intentionally broad so that people can find their strengths and grow in a way that excites them.No two days are the same, but as a Forward Deployed Enablement Engineer you can expect to: • Respond to and triage incoming support requests from both internal and external teams., • Provide guidance to customer engineers and unblock their workflows on Palantir’s platform., • Build with Foundry and AIP to enhance enablement operations and use your creativity to solve novel problems that deliver more value to internal and external stakeholders., • Collaborate with our Product Development teams to tackle workflow problems, resolve product issues, and inform product improvements., • Partner with Business teams to understand and meet customer needs., • Participate in a 24/7 on-call rotation responsible for coordinating responses to critical customer-facing incidents., • Take ownership as the first responder when things go wrong. Even if a problem is outside your area of expertise, you make the first move to fix it and pull in the necessary expertise to get the job done.What We Value, • Ability to continuously learn and work independently, making decisions with minimal supervision., • Excellent written and verbal communication skills, capable of interacting effectively with both technical and non-technical stakeholders., • Strong creative problem solving skills., • Comfortable working in a rapidly changing environment with dynamic objectives and iteration with users., • Proficiency with one or more programming languages or data engineering frameworks, such as Python, SQL, Spark, Java, C++, TypeScript/JavaScript, or similar.What We Require, • Background in Data Science, Computer Science, Engineering or STEM

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As a Software Engineering Specialist on the Human Data team, you'll create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with technical staff. You'll support xAI's mission by teaching AI models about human interactions, reactions, and problem-solving approaches through labeling and annotating data in text, voice, and video formats. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. Tasks may involve gathering or providing data, such as recording audio or video sessions, with which candidates must be comfortable to drive innovation. Responsibilities • AI model training initiatives by curating code examples, offering precise solutions, and meticulous corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust and Go. The System Design Specialist will focus on any and all System Design aspects, as listed in 'Required Qualifications' section., • Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks.Required Qualifications, • 5+ years of professional experience working with large codebases, • 5+ years of professional experience designing, implementing, deploying, and testing distributed systems, • Strong knowledge of data structures and algorithms, • Experience integrating databases (e.g. MySQL, MongoDB), • Experience creating and extending database schemas, • Experience with application specific frameworks (e.g. SpringBoot, ASP.NET), • Experience with integrating with cloud services (e.g. AWS, Azure), • Experience with integration of logging, performance monitoring, and alerting systems, • Strong understanding of application tradeoffs when choosing different technologies or implementationsPreferred Qualifications, • The ideal candidate for this role is adaptable, possesses strong logical reasoning skills, is detail-oriented, and thrives in a fast-paced work environment., • Experience with containerization tools (Docker or Podman), • Proficiency in 2 or more programming languages (e.g. Python, JS, Java, C++)Location, Hourly & Other Expectations, • US-based candidates cannot be hired in Wyoming or Illinois at this time., • Visa sponsorship is not available., • Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter., • Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience., • A take-home challenge focused on legal or compliance data labeling or analysis. The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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.

Job title: Site Reliability Engineer Job type: Full time Rate: Competitive, based on experience Role Location: On-Site, Palo Alto About the Role: We are a technology startup advancing healthcare with a safety-focused AI platform that assists medical professionals by managing patient communications, including check-ins, reminders, and follow-up care. We are seeking a highly skilled Senior Site Reliability Engineer to join our team. In this role responsibilities will include designing and implementing infrastructure automation, continuous integration and delivery pipelines, and monitoring and scaling the infrastructure that powers our healthcare AI platform. You will work closely with software engineers, research scientists, and other cross-functional teams to develop and maintain reliable and scalable infrastructure that enables rapid iteration and deployment of our products. Key Responsibilities: • Design and implement infrastructure automation and deployment pipelines using tools such as Terraform, • Implement and maintain monitoring and logging systems to ensure the reliability and performance of our healthcare AI platform, • Work closely with software engineers to design and deploy scalable, fault-tolerant, and secure production systems on cloud platforms such as AWS, GCP, or Azure, • Develop and maintain security and compliance policies and procedures for our healthcare AI platform, • Collaborate with cross-functional teams to troubleshoot and resolve complex issues related to infrastructure, deployment, and operations, • Implement and maintain disaster recovery and business continuity plans, • Develop and maintain documentation related to infrastructure, deployment, and operations, • Mentor and provide technical guidance to junior engineers Qualifications: • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, • At least 5 years of professional experience as SRE, • Strong skills in building cloud infra orchestration systems (Operators) using Python with some expertise in Go ideally, • Expertise in infrastructure automation and deployment tools such as Terraform, or GitLab CI/CD, • Experience with cloud platforms such as AWS, GCP, or Azure, • Strong knowledge of containerization technologies such as Docker and Kubernetes, • Experience with monitoring and logging tools such as ELK, Grafana, or Datadog, • Familiarity with security and compliance best practices and tools such as HashiCorp Vault, AWS KMS, or Azure Key Vault, • Strong problem-solving skills and ability to work independently and collaboratively in a team environment, • Excellent communication and interpersonal skills Preferred: • Experience implementing HIPAA and SOC2 compliance in a plus, • Experience working in an HPC Environment is a plus Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role The post-training team at xAI transforms powerful pre-trained models into steerable, versatile models capable of understanding and addressing real-world challenges. As a Member of Technical Staff on the post-training team, you'll advance models for tool calling, reasoning, and model coordination. You'll work across language models of different scales, modalities, and specializations to create novel interactive paradigms. With a strong emphasis on interactivity and agentic behaviors, you will pioneer a new class of orchestration models to unlock seamless, real-time, human-AI collaboration. Focus • Enhance model capabilities in interactive tool calling, structured reasoning, and model orchestration, with a focus on real-time human-AI interactions and agentic decision-making., • Enhancing data mixtures through data collection pipelines and generation techniques optimized for interactive human-AI collaborations and orchestration., • Developing generalizable reward models and novel reinforcement learning algorithms to promote emergent interactive behaviors, enabling models to guide heavier backend systems., • Designing robust evaluations that capture real-world interactive dynamics, human-AI synergy, and orchestration across diverse backend models, scales, and specializations., • Implementing large-scale training frameworks for models that integrate and orchestrate backend models of varying sizes, skills, and capabilities in interactive, agentic environments., • Collaborating with pre-training, reasoning, data, multimodal, applied, and product teams to expand interactive AI frontiers.Ideal Experiences, • Expert in ML and training large language models., • Track record in leading studies that significantly impacts AI advancement., • Experience in data-driven large language model behavior improvements., • Experience in advanced reinforcement learning or inference-time search techniques., • Experience in developing benchmarks or large-scale distributed machine learning systems., • Experience in model optimizations under complex setups (e.g., multi-modality, multi-context, multi-agent, long-horizon tasks, diverse user preference/feedback)., • Python, • Jax, • PyTorch, • One on one discussion & coding interviews (three meetings total) xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As an engineer specializing in Multi-modal Post-Training, you'll design and deploy state-of-the-art systems and algorithms to enhance multi-modality model capabilities. You'll pioneer innovative techniques to elevate AI capabilities, delivering seamless, delightful, and empowering experiences for users. This is your chance to push the boundaries of AI technology and directly influence the evolution of a transformative product. What You'll Do • Develop scalable human and synthetic data collection systems for media data (images, video, audio)., • Build infrastructure for large-scale image, video and audio data pipelines, curation, and annotation., • Optimize inference and distillation for real-time generation., • Collaborate with cross-functional teams to integrate advanced AI solutions into production environments., • Create demos to explore the frontier of multimodal AI products and iterate quickly based on real-world feedback., • Own the end-to-end experience of created applications, working with teams to improve user experience.Who You Are, • Deep technical expertise with experience in multimodal post-training techniques., • Capable of applying the latest advancements to improve model performance, • Demonstrated success in developing scalable machine learning systems to fuel product expansion., • Exceptional engineering skills, adaptable across various tech stacks., • Proficiency in creating multimodal applications (e.g., images, video, audio) is a plus., • Enthusiasm for crafting innovative consumer products using state-of-the-art technology., • Python, • JAX, • Coding assessment in a language of your choice., • Systems hands-on: Demonstrate practical skills in a live problem-solving session., • Project deep-dive: Present your past exceptional work to a small audience. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Senior Machine Learning Engineer SF Bay Area: Hybrid (3 days onsite/wk) $175,000 - $200,000 Base + Equity A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Machine Learning Engineer. Their marketplace connects buyers and sellers through personalized, trustworthy, and engaging experiences. With a strong engineering culture and a focus on applied AI, their team is building next-gen features to shape how users discover, connect, and transact. Role We’re looking for a Senior MLE to take technical leadership of a core AI initiative. This is a high-impact, hands-on role where you’ll architect and deploy large-scale ML systems, drive end-to-end model productionization, and influence engineering culture across squads. You’ll partner closely with data scientists and product teams to deliver real-time, intelligent features that delight users and scale globally. Responsibilities • Solid foundation in distributed computing pipelines and observability, • for large-scale ML systems (batch & real-time), • Deploy experimentation-ready models into production with DS partners, • Build robust MLOps pipelines for serving, monitoring, and optimizing models, • Develop real-time inference systems, including vector database integrations, • Tackle challenging problems in personalization, fraud prevention, search, and GenAI tools Requirements • Solid software engineering foundation with Python and backend/data systems, • Experience deploying ML models in production at scale, • Exposure to distributed systems, performance tuning, and cost optimization, • Proficiency with PyTorch or TensorFlow, Airflow, Spark, Databricks, MLFlow, • Experience with real-time and batch pipelines, feature stores, and scalable inference, • Marketplace, e-commerce, or large-scale content platform experience, • Familiarity with GenAI/LLM ops, real-time personalization, or fraud detection

Termina's goal is to accumulate first-party data for all Venture-backed companies in the world. Private-Markets investment decisions happen in the dark, uninformed, and in many cases without objective systems of measure. We are optimistic that by assembling the world's largest dataset of venture-backed companies, Investors and Executives will dramatically improve their decision making using Termina's Quantitative Diligence. Termina was incubated as the initial diligence technology at Tribe Capital, a $1.9B venture fund, and is also backed by Sequoia's Scout program, X&, and Trenches Capital. We have largely bootstrapped through our early growth, and we are profitable. Some recent projects involving our engineering team: • Using LLMs to auto-label data and ingest it to our ETLs, • Supporting Kraken's $1.5B acquisition of Ninjatrader, • Onboarding new clients including a $20B family office and supporting/enhancing their workflows We’re hiring a Senior/Staff Backend Engineer to build scalable systems that model product-market fit and power high-stakes decision-making for top Venture Investors. You’ll tackle the unique challenge of creating infrastructure to ingest all data from all startups. If you’re excited by high-impact, performance-driven engineering, join us to build the future of investing. An Opportunity to Architect Large-Scale Data and Backend Infrastructure • Engineer core pillars of our multi-interface data application from scratch., • Manage a sophisticated array of data APIs and data infrastructure with an unwavering passion for high-leverage deployment patterns and IAC., • Create new products leveraging AI and LLMs to unlock new interfaces with, and understanding of, the unique datasets that Termina is accumulating., • Conceive of and / or implement novel ways of distributed systems management, and high-scale data processing and retrieval. About You • An obsession with automation and getting into the weeds., • Bulletproof backend software engineering foundations, and perpetually learning new frameworks to unseat the old., • The ability to make cut-through infrastructure and data processing decisions that scale., • A Passion for new AI technologies and startups., • 5-7 years of experience, though we are flexible. Our Stack Today • Python for backend and data processing. Current key frameworks are fastapi, pandas, ray, dagster and sqlalchemy., • A variety of LLMs in our development process and data processing logic., • GCP is our main base of operations, utilizing GKE, BigQuery, BigTable, artifacts, and so on., • “No clicking mentality” with Terraform / terragrunt, Helm, and Skaffold, GitHub actions, Datadog for our CI / CD deployment, lifecycle management, and observability. Location • Candidates must be located in the San Francisco Bay Area, or Greater Toronto Area and be willing to travel on a monthly basis to the Bay Area for team offsites.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Team The RL infra team builds an internal RL framework to enable large scale reasoning training to build next state of art flagship models. You will be an expert in numerics / low-precision training and inference to enable efficient and stable RL training. Focus • Develop low-precision solutions, from kernel to algorithm, to enhance efficiency in RL training and inference of flagship models., • Analyze numerical properties of flagship models and their training dynamics, and develop tools to enhance and monitor numerical stability., • PhD with AI or other scientific domains, • Strong knowledge in quantization and numerics in LLM inference and training, • Experience in building testing / tools to analyze numerics After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: • Coding assessment in a language of your choice., • Two systems hands-on: Demonstrate practical skills in live problem-solving sessions that involve both system design and coding. Location $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

SENIOR DATA SCIENTIST - SEARCH AND RECOMMENDATIONS SAN FRANCISCO BAY AREA (HYBRID) $160,000 – $190,000 BASE SALARY + EQUITY ABOUT THE ROLE We’re seeking a Data Scientist II to drive next-generation personalization and discovery for a fast-growing social commerce marketplace. You’ll partner with Machine Learning Engineers and product teams to design, build, and deploy models that impact millions of daily buyers and sellers. This is a high-impact, hands-on position ideal for someone passionate about transforming large-scale data into measurable business outcomes. KEY RESPONSIBILITIES • Model Development: Build and refine recommendation, personalization, and ranking models that scale to millions of users and hundreds of thousands of new listings each day., • Experimentation: Design and analyze A/B tests, iterating on metrics such as click-through rate, conversion, and listing quality., • Collaboration: Work closely with MLEs to move models from prototype to production, ensuring performance and reliability., • Data & Insights: Explore large-scale marketplace data to identify trends, create features, and improve model accuracy., • Cross-Functional Impact: Partner with product, engineering, and analytics stakeholders to translate business needs into technical solutions. REQUIREMENTS • 3+ years of applied data science or machine learning experience, • Proficient in Python and deep learning frameworks (PyTorch or TensorFlow), • Hands-on with recommendation, ranking, or personalization models at consumer scale, • Skilled in working with high-volume data and deploying production ML systems, • Knowledge of full ML lifecycle: development through monitoring, • Familiar with modern data infrastructure (Databricks, Feature Stores) and cloud platforms (GCP/AWS) Why Join • You’ll join an expanding AI/ML team that’s scaling rapidly to support multiple product squads, offering opportunities to work on cutting-edge projects and deepen your technical expertise. Expect mentorship from senior staff scientists, visibility across teams, and the chance to shape personalized shopping experiences for millions of global users.

SENIOR MACHINE LEARNING ENGINEER - SEARCH & RECOMMENDATIONS Hybrid – Bay Area (3 Days/Week Onsite) $160,000 – $190,000 Base + Equity About the Company We’re a fast-growing online marketplace backed by a major global tech player. Our platform helps millions of people buy and sell items in a way that feels social, personalized, and community-driven. With a strong base of engaged users on both the buying and selling side, we're investing heavily in AI and machine learning to improve product discovery, build smarter seller tools, and make the platform safer and more enjoyable for everyone. We're now growing our ML Engineering team to help make these experiences smarter, faster, and more scalable. About the Role We're looking for a Senior Machine Learning Engineer to lead some of the most critical AI/ML initiatives across our platform. You’ll be responsible for designing and building machine learning systems that impact millions of users — from personalized recommendations and smarter search to seller tools and fraud detection. This is a high-impact, hands-on role best suited for someone with deep experience in ML systems who wants to own projects end-to-end and help shape the future of a fast-moving, high-scale marketplace. What You’ll Be Doing • Lead development of core ML systems that power recommendations, personalization, and trust & safety, • Design both batch and real-time pipelines that take models from experimentation to full production, • Collaborate with data scientists to turn prototypes into scalable, production-ready models, • Improve and maintain our MLOps systems (serving, monitoring, retraining, etc.), • Help set technical direction across multiple teams and mentor other engineers, • Partner with product and infrastructure teams to drive big-picture decisions Our Tech Stack • Languages & Frameworks: Python, PyTorch, TensorFlow, • Tools: Airflow, Spark, MLFlow, Databricks, Feature Store, • Infrastructure: AWS + GCP, supporting real-time and batch workflows, • Model Serving: Vector databases, scalable inference pipelines, model monitoring tools What We’re Looking For • 2+ years of engineering experience, including 1+ years working on ML systems in production, • Experience building and scaling recommendation, search, or personalization systems, • Strong understanding of distributed systems, model performance, and production deployment, • Able to design systems that balance speed, reliability, and cost, • Experience working on large-scale marketplaces, e-commerce, or other consumer platforms Why You’ll Love It Here You’ll join a small but mighty team making a real difference in how people shop, discover, and sell online. You’ll have the freedom to lead major projects, contribute to technical strategy, and see your work drive real business results — all within a supportive, fast-paced environment.

Job Title: Uncleared Machine Learning Engineer - Remote Organisation Overview: Our Client is at the forefront of Intelligent Exploration and Enterprise AI with their cutting-edge AI Platform. Operating in a dynamic industry, they offer a work culture that fosters innovation, growth, and technical expertise. With opportunities for career advancement and technical leadership roles, it's an exciting place for skilled professionals to thrive. Role Summary: Our Client is seeking an Uncleared Machine Learning Engineer with the capability and readiness to work remotely. This role plays a crucial part in enhancing AI data applications by combining expertise in machine learning, data engineering, and software development. As part of the team, you will contribute to platform upgrades, develop dynamic dashboards, optimize data access patterns, and collaborate with key stakeholders to drive product enhancements. Responsibilities: • Spearhead platform upgrades to ensure innovation and effectiveness., • Develop dynamic dashboards using the Virtualitics AI Platform Python SDK., • Optimize data access patterns to enhance AI solutions' efficiency., • Resolve runtime performance issues for application stability., • Architect scalable applications in alignment with current trends., • Collaborate with Technical Product Managers to drive usability enhancements. Essential Skills & Experience: • Degree in Computer Science or related field OR 4+ years of software engineering experience., • Proficiency in Python and the Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.)., • Familiarity with big data technologies (Spark, Databricks, Snowflake) and frameworks., • Experience with Docker, Kubernetes, and Git., • Strong problem-solving skills and ownership mentality., • Excellent communication skills in English, both written and verbal. Desirable Skills & Experience: • Prior experience in Machine Learning Engineering roles., • Familiarity with Predictive Maintenance, Cyber Analytics, and related areas., • Knowledge of task schedulers and web-app development stacks. Call to Action: If you are a skilled Machine Learning Engineer looking to work with cutting-edge AI technologies and contribute to innovative projects remotely, we encourage you to submit your CV to be considered for this exciting opportunity. Take the next step in your career with Our Client and be part of a team dedicated to shaping the future of AI applications. Apply now and unlock your potential.

Overview: Seeking a Data Analysis Engineer. The role involves building Tableau dashboards, Python scripting, and working with hardware-generated data. This role will focus on building interactive Tableau dashboards, developing Python scripts, analyzing datasets, and creating clear visualizations to drive insights for engineering teams. Responsibilities: • Design, develop, and maintain Tableau dashboards for hardware and operational data reporting., • Write and optimize Python scripts for data processing, automation, and analysis., • Perform data cleaning, transformation, and statistical analysis to extract insights., • Manage and process large datasets, including uploading and parsing CSV files from hardware systems., • Build clear and effective data visualizations to communicate trends, anomalies, and key findings to stakeholders., • Collaborate with cross-functional engineering teams to understand requirements and deliver actionable insights., • AI/ML knowledge where relevant to support predictive analysis and pattern recognition., • Leverage exposure to embedded systems to contextualize hardware-generated data and troubleshoot data inconsistencies. Qualifications: • Strong experience with Tableau (dashboard design, advanced calculations, performance optimization)., • Proficiency in Python (data analysis libraries such as Pandas, NumPy, Matplotlib/Seaborn)., • Solid background in data analysis, statistics, and visualization best practices., • Experience with data uploads, ETL workflows, and handling hardware-generated files (CSV, JSON, etc.)., • Understanding of AI/ML concepts and how to apply them to real-world datasets., • Exposure to embedded systems data or hardware-related analytics is a strong plus., • Excellent problem-solving, communication, and collaboration skills. Submit resume to Location: Cupertino, CA Type: Contract Duration: 12+ Months (with possible extension) Pay Rate Range: $60-$80/h (DOE)

Job title: Fullstack Engineer Job type: Perm Salary: Competitive, based on experience Role Location: Remote, with occasional in-person collaboration The company: A forward-thinking technology company revolutionizing the healthcare industry through innovative AI-powered solutions. Our mission is to create safe, scalable, and transformative digital experiences that empower patients and providers alike. Join a dynamic team dedicated to pushing the boundaries of technology to solve real-world challenges in healthcare. Role and responsibilities: As a Fullstack Engineer, you’ll play a pivotal role in shaping cutting-edge, AI-driven healthcare solutions. Working across the full technology stack, you’ll develop scalable and secure SaaS products that deliver seamless user experiences. As a Fullstack Engineer, your responsibilities will include: • Designing and building robust B2B SaaS products using Typescript/React, Material UI, and Python/Flask., • Collaborating with cross-functional teams, including AI researchers, product managers, and designers, to translate complex requirements into high-quality technical solutions., • Developing efficient front-end and back-end systems, including APIs and user-facing dashboards, to enhance patient and provider interactions., • Conducting code reviews, promoting best practices, and ensuring high standards of software quality., • Troubleshooting and resolving technical issues to maintain optimal product performance. To excel as a Fullstack Engineer, you should bring: • A Bachelor’s degree in Computer Science, Engineering, or a related field., • 5+ years of professional experience as a Fullstack Engineer, with expertise in Typescript/React and Python, Ruby, or Node backends., • Strong proficiency in building RESTful APIs and integrating third-party services., • Experience with SQL and Postgres database design and management., • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud., • Excellent problem-solving skills and a collaborative mindset., • Strong communication skills to work effectively with cross-functional teams., • Familiarity with agile methodologies like Scrum or Kanban., • Bonus points for:, • Experience with Flutter or ReactNative for cross-platform mobile app development., • Knowledge of Flask Python servers., • Competitive salary and comprehensive benefits package., • Flexible remote work environment with opportunities for in-person collaboration., • Access to cutting-edge technologies and continuous learning opportunities., • A collaborative, inclusive culture that values innovation and impact. Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

We’re looking for a Backend Engineer for one of client, who can take ownership of critical systems and data infrastructure powering a next-generation digital platform in the healthcare and wellness domain. You’ll help shape the backbone of a high-growth startup environment designing, building, and scaling core services that deliver exceptional user experiences across web and mobile products. If you’re someone who enjoys solving complex engineering challenges, working with cutting-edge technologies, and bringing AI-powered innovation into production, this role offers that and more. What You’ll Be Doing: • Lead the design, development, and scaling of core backend services using TypeScript and Python., • Architect performant, secure, and reliable systems to support rapid business growth., • Collaborate with Product, Design, and Frontend teams to deliver seamless, data-driven user experiences., • Build systems that leverage machine learning and AI-assisted capabilities to enhance functionality and customer insights., • Drive best practices for performance tuning, observability, and CI/CD automation., • Mentor engineers, influence technical direction, and foster a strong engineering culture., • Develop and optimize backend pipelines for real-time processing, analytics, and integrations. What We’re Looking For: • 7+ years of backend engineering experience with deep expertise in TypeScript and Python., • Proven success building and scaling high-performance distributed systems., • Strong understanding of modern DevOps pipelines, ESLint, bash scripting, and Unix/Linux environments., • Hands-on experience integrating AI or ML-driven systems into production environments., • Ability to balance big-picture architecture with detail-oriented coding practices., • Excellent communicator and collaborator in cross-functional environments. Bonus points if you have: • Experience with WebSockets, real-time data streaming, or compiled languages (Rust, Go, C++)., • Prior exposure to healthtech, digital wellness, or regulated environments. Unfortunately, our client isn’t able to provide work visa sponsorship currently or moving forward.

Job Description Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. About the job Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction, and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. We are seeking a Director of Analytics and Business Optimization. This role will be responsible for leading the design, execution, and scaling of the analytics function at Machinify. The initial focus will be on personally driving high-impact analyses that inform business optimization;and over time, building and leading a high-performing analytics team. This role requires a strong analytical background, deep business acumen, and the ability to translate data into actionable insights that guide operational and strategic decisions. Reporting to the Chief AI Officer, the Director will work closely with business, product, and engineering leaders to ensure analytics drives measurable improvements in customer and company outcomes. What You Will Do * Lead critical business analyses: Perform end-to-end analytics across payment operations, chart review workflows, and customer performance metrics to identify optimization opportunities. * Design foundational data assets: Build and maintain the base data sets, aggregates, and pipelines required for robust reporting and insight generation. * Create business dashboards: Partner with engineering and product teams to deliver comprehensive reporting dashboards that provide leaders with real-time visibility into operational and financial performance. * Run simulations and financial models: Use historical data to design models that simulate the impact of business decisions—helping leadership understand trade-offs and predict outcomes of operational “knob-turning.” * Deliver ad hoc insights: Scope and execute analyses to answer urgent or strategic questions posed by executives and operational leaders. * Collaborate cross-functionally: Translate business problems into analytical approaches and communicate findings effectively to both technical and non-technical stakeholders. * Hire and scale a team: As the business grows, recruit, mentor, and manage a team of analysts to extend the reach and impact of the analytics function. * Drive continuous improvement: Establish best practices in analytics, promote data-driven decision-making, and foster a culture of accountability and innovation. What You Bring * Degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Data Analytics, Engineering, or related discipline). * 10+ years of analytics, business intelligence, or quantitative consulting experience, with at least 5 years in a leadership role, ideally including start-up or growth-stage company experience. * Technical proficiency in SQL/python and ability to interact with modern database systems to manipulate datasets * Proven track record of delivering high-impact analyses and driving measurable business improvements. * Experience designing and building core data sets, dashboards, and business intelligence infrastructure. * Strong financial modeling and simulation skills, with the ability to quantify the impact of strategic and operational changes. * Ability to communicate complex analytical findings clearly to executives and cross-functional partners. * Experience hiring, mentoring, and scaling high-performing analytics teams. * Comfort operating in a fast-paced, ambiguous environment and balancing short-term needs with long-term strategic priorities. * Optimism, resilience, and a collaborative spirit; you thrive on helping both your team and the business succeed. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at:

Source One is a consulting services company and we’re currently looking for the following individual to work as a consultant with our direct client, a global pharmaceutical manufacturing client in South San Francisco, CA . This is a Hybrid role see details below. This role will be onsite and available to candidates local to the South San Francisco, CA area. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp Title: Biostatistician II Location: South San Francisco, CA Onsite (Mon-Fri, 40 hours) Contract Duration: 12 months, with likely extension Pay Rate: $52.64 per hour (w2) Description: As a Bioinformatics Analyst, you will play a critical role in analyzing large genomic and Client NGS assay datasets to support drug discovery programs, with a focus on Cell Therapy therapeutics. Your primary responsibilities include executing, applying, and analyzing sequencing and assay data to identify potential therapeutic candidates. You will prepare data packages and summaries that facilitate cross-team communication and decision-making, while building, maintaining, and optimizing computational pipelines to ensure scalability, reproducibility, and efficiency. About You You have a strong background in statistics and software development, with proficiency in Python and experience working with both open-source and custom packages. You follow best practices in code development and enjoy collaborating with a diverse range of engineers and scientists. You are skilled at guiding study design and data interpretation, and capable of translating complex biological questions into quantifiable hypotheses and analyses. You thrive in multidisciplinary teams supporting drug discovery efforts. Key Responsibilities • Perform quality control on sequencing and alignment data to ensure accuracy and precision., • Analyze large genomics datasets to extract meaningful insights related to drug discovery., • Build, maintain, and optimize bioinformatics pipelines for scalability and reproducibility., • Support diverse drug programs through computational and statistical analyses., • Develop and refine statistical models and hypothesis tests to interpret complex datasets., • Clearly communicate study designs, methodologies, and key findings to interdisciplinary teams, including wet-lab scientists and project stakeholders., • Contribute to presentations and reports highlighting methods and outcomes. Qualifications • Proficiency in Python, with experience applying software development best practices., • Familiarity with cloud computing environments (e.g., AWS) for large-scale data analysis., • Experience with Git for version control and reproducibility., • Solid understanding of NGS technologies and biological assays., • Strong collaboration skills, especially in advising on study design and avoiding pitfalls in collaboration with wet-lab scientists, engineers, and protein designers., • Excellent communication skills, capable of translating biological questions into rigorous computational analyses., • Experience supporting drug discovery programs in a biotech or pharmaceutical setting., • Prior experience presenting complex computational results to diverse audiences.

Job title: Staff Site Reliablity Engineer Job type: Full Time Salary: Competitive, Based on Experience Role Location: Palo Alto, California About the Role: As a Staff Software Engineer, you will work alongside a dynamic team of engineers, applied scientists, and healthcare professionals to drive advancements in our generative AI technologies. Your focus will be on building and optimizing the backend infrastructure of our core healthcare AI platform, supporting scalable, secure, and reliable data processing for AI applications in healthcare. Responsibilities: • Architect, develop, and maintain scalable backend infrastructure to support high-performance healthcare AI applications., • Collaborate with research scientists and ML engineers to build data pipelines that efficiently handle large-scale healthcare datasets., • Develop and manage APIs and microservices for seamless data retrieval, processing, and model interaction., • Implement advanced data security and privacy protocols to ensure robust patient data protection., • Continuously monitor and enhance backend systems to maximize performance, reliability, and uptime., • Work with product managers to translate healthcare needs into technical solutions that enhance patient outcomes., • Mentor junior engineers, providing guidance on technical projects and fostering a culture of collaboration and innovation. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field., • 7+ years of experience in backend development with proficiency in languages like Python, Java, or Go., • Strong understanding of SaaS, and cloud orchestration software., • In-depth knowledge of cloud platforms GCP or Azure, • Docker, Kubernetes, CI/CD and cloud networking., • GCP, or Azure, • Strong understanding of data security, privacy measures, and data modeling., • Excellent communication skills and experience working collaboratively within cross-functional teams. Preferred: • Familiarity with cutting-edge LLM tools and frameworks such as Langchain., • Previous experience in healthcare-related technologies or regulated data environments., • Expertise in vector databases and retrieval systems optimized for high-performance AI/ML applications.

Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers We seek an exceptional Senior Solution Consultant (Presales) based in North America to join our growing team. This role will report to our Global VP of Solutions Consulting and will play a key role in shaping a vision for our customers. It will also be the trusted advisor on Workato's AI Agentic capabilities to provide thought leadership best practices and help scale and drive adoption to achieve its strategic initiatives. In order to be successful in this role, you must be able to articulate technology and communicate the value of Workato's products to prospective business and technical users and buyers with a focus on enterprise applications. You will also help shape the product and direction of the company by communicating market needs to the Product Management team As a Snr Solutions Consultant, you will be part of Workato's Presales Team and Architecture community and you will own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that will define the customer's future state for AI and Enterprise Automation. Responsibilities This is a role for the North America-based role. Proximity to Palo Alto / NYC / Austin / Boston / Denver is preferred. In this role, you will also be accountable to: We seek an exceptional Solution Architect to join our growing team. In this role, you will enable our clients to become proficient on Workato's Agentic Platform, empowering their employees and building AI Agent solutions for their business. You will also be responsible to: • Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work., • Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer's AI use cases., • Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc., • Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products, • Create and deliver custom product demonstrations, AI Agentic use cases, • Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote., • Able to respond to functional and technical elements of RFIs/RFPs, • Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap., • Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events, • Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects.RequirementsExperiences, • Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development., • Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects., • 06-10 years of pre-sales experience in a SaaS/iPass organization., • Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications., • Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance., • Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT., • Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases., • Knowledge of python programming (or understanding/familiarity with object-oriented programming). Qualification, • Ability to learn new concepts, and technologies to solve problems., • Excellent presentation abilities and composure in front of all levels of technical and business audiences., • Ability to lead architectural discussions., • A passion for technology and translating that passion into business impact for customers., • Excellent verbal communication, written communication, and presentation skills in front of all audiences.

Immediate need for a talented Senior Platform Devops Engineer- Architecture . This is a 06+months contract to Hire opportunity with long-term potential and is located in Milpitas CA (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-71199 Pay Range: $85 - $90/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: • Work very closely and integrate with our developers to adopt and drive culture change., • Together with a team of engineers, design, architect and deliver the next-generation internal developer platform., • Work with peer technical leaders and their teams to enable engineers to seamlessly deploy their software components using GitOps., • Focus on continuously improving the DevOps tooling, software installers, and software delivery processes., • Own and maintain highly reliable environments and toolchains with clear communication and timeliness of any disruptions to internal stakeholders., • Leverage industry-standard techniques and processes to help enable and provide better feedback to the developers., • Monitor and continually improve the capacity of our production environment infrastructure., • Investigate and fix stability, performance, and scalability bottlenecks. Key Requirements and Technology Experience: • Key Skills; Kubernetes, Docker, Architecture in production system, Azure cloud, • 5+ yrs in Kubernetes, Terraform, Production level bugs, high level architecture., • Undergraduate degree in computer science, IT, software engineering, or similar, • Strong communication skills (verbal and written)., • Minimum of 7 years of experience in Software Engineering roles as a DevOps Platform engineer., • Expert in maintaining and managing software build infrastructure. (Azure DevOps(preferable), Jenkins, TravisCI, TeamForge, etc.), • Expert in container technologies such as Docker and Kubernetes. Certification is a BIG plus!!!, • Expert in IaC technologies such as Helm, Packer, and Terraform., • Expert experience creating, maintaining, and supporting CI/CD pipelines., • Expert experience in version control and source control management (Git), • Expert in deploying, managing, and maintaining at least 2 of the following SCM toolchain such as Jenkins, Artifactory, SonarQube, Nexus, TFS, Azure DevOps, • Strong understanding of programming principles, structure, and Versioning., • Experience in scripting languages such as Python, Bash, and PowerShell, and others are nice to have., • Experience with system management technologies such as Puppet, Ansible, Salt, or Chef., • Experience and knowledge of Microsoft and/or Linux system administration and networking., • Experience in managing a VMware-based virtualization environment or similar., • Knowledge of test-driven development, software configuration management, and automated testing., • Experience operating in a highly regulated industry., • Experience in managing CI/CD pipelines for a mixed set of software assets., • Experience with Crossplane, Kubernetes CRDs, • Experience in creating VM templates and deploying them at scale and tracking revisions. Our client is a leading Medical technology Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy ___.

Job Description Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Our team builds machine learning models for some of the largest health plans in the country to identify and audit claims errors from simple errors to outright fraud. Large insurance payers receive tens of millions of claims each year, of which they only are able to audit less than 10%. Our claim selection models help with selecting the right set of claims to audit and recover hundreds of millions of dollars each year reducing wasted medical spend. We have made significant progress already, with models that significantly outperform even selection by human experts but there are still many improvements to be made. We are looking for a Staff Data Scientist to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes. What You’ll Do: * Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes. * Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision. * Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients. * Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows—often unclean and undefined—to refine them for robust modeling. * Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency. * Grow with Healthcare: Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs. What You Bring: * You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while. * You are comfortable measuring and optimizing the direct business impact of work. * You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.). * You have experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: