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Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Role - Software Engineer Location – Weehawken, New Jersey Information Technology (IT) Job Type: Contract- Hire Length: 6month Role • Are you passionate about delivering building robust and scalable C# GUI for trading systems? Do you have a curious nature, always interested in how to innovate? We’re looking for someone like that to help us:, • Analyze business requirements, design and implement solutions, and develop software components as defined by the systems development life cycle (SDLC), • Test unit and integration of components for integration into larger subsystems, • Support the Software Component Manager in resolving high-priority defects and deploying fixes to production systems, • Make sure that produced code is secure, stable and operational before handover to the Software Component Manager, • Collaborate with other global IT teams Team You’ll be working in the Parameters management and Risk teams in Stamford or Weehawken. You will be part of a global team with developers in US, UK, HK, India. The team is responsible for building and supporting an application for maintaining Volatility surfaces, Dividends and other parameters and an application for producing real time risk. Both are used by the Bank Equity derivatives trading. We work closely with the traders and quant teams to support the systems and continuously add new functionality and improve the user's experience. Experience and skills • You have a minimum of a Bachelor's of Science degree in Engineering, computer science, mathematics or an equivalent technical degree., • You are a developer with extensive experience and very strong C# skills (5+ years)., • You have knowledge of distributed computing and low-latency, multithreaded solutions, • You have strong analytical, problem-solving and synthesizing skills, • Some experience with programming in Java and Linux/Unix scripting

Systems Engineer | Distributed Systems | Python | TypeScript | Kubernetes | Must have Startup Experience Salary: $240,000 - $350,000 + meaningful equity Contract: Permanent Start: ASAP Location: New York, NY / San Francisco, CA (Onsite preferred; remote for exceptional candidates) Eligibility: Open to candidates with existing work authorization - US Residents Only 🚨 Please only apply if you have ALL of the following 🚨 • 5+ years of professional software engineering experience, • Ownership of core cloud infrastructure end-to-end, • Expert-level distributed systems, storage, networking, and containerisation (Kubernetes), • Proficiency in both Python and TypeScript, • Startup or VC-backed company experience, • Experience at a developer tools or infrastructure-as-a-product company (e.g. Pulumi, DigitalOcean, HashiCorp) 🚀 Join a well-funded, early-stage startup operating at the frontier of AI and cloud infrastructure. They're building a genuinely new product category - one that puts powerful, AI-configured personal infrastructure directly in the hands of everyday users. The vision is ambitious, the backing is serious, and the team is small by design. This is greenfield infrastructure work at the architecture level. You won't be maintaining legacy systems - you'll be building the foundation from scratch. ℹ️ Very Important Notes • This is a deep infrastructure role - not suitable for frontend-heavy or product-only engineers, • You must be comfortable owning systems design with no hand-holding, • Occasional customer-facing work required - you'll help translate real-world usage into platform decisions, • High autonomy expected - you design, build, operate, and iterate Must-Haves • Expert knowledge of distributed systems, storage/databases, networking, and containerisation, • Deep Kubernetes experience in production environments, • Strong Python and TypeScript across backend and full-stack contexts, • Proven track record of owning infra in a VC-backed or high-growth startup, • Ability to make critical architectural decisions independently, • Infrastructure-as-code experience (Terraform, Pulumi, or similar), • Self-driven, high-agency, and comfortable with ambiguity Bonus Experience • Prior experience at developer-focused infra companies (Pulumi, DigitalOcean, HashiCorp, etc.), • Experience building CI/CD pipelines for distributed systems, • Platform-level feature development for end-users, • Technical founder or early founding engineer background What You'll Be Doing Infrastructure Ownership • Take full ownership of core cloud infrastructure from design through deployment and maintenance, • Build and manage distributed systems, storage, networking, and containerisation layers, • Make architectural decisions that will power the platform at scale Platform Engineering • Develop and maintain CI/CD pipelines for rapid, reliable delivery, • Build platform-level features that end-users interact with directly, • Ensure infrastructure directly translates into a seamless consumer product experience Collaboration • Partner closely with product engineers to bridge infra and product, • Feed operational insight back into architecture and roadmap decisions, • Contribute to a flat, high-ownership team moving at serious speed What They're Looking For • A technically exceptional engineer who owns infra like a founder, • Someone who thrives in ambiguity and moves fast without sacrificing quality, • A builder with strong opinions on systems design and the confidence to execute them, • An engineer who wants real scope, real equity, and real impact from day one If you meet the above requirements and want to build the infrastructure layer for the next generation of personal cloud computing, get in touch for a fast response.

Insight Global is seeking an experienced production services specialist to join one of our largest financial services clients in their Equities, Derivatives & Swaps production services team providing front line technical support to end user requests and issues. They will be responsible for managing application platform monitoring and support, root cause analysis and preventative actions to ensure stability & resiliency across all services. They will lead incident & problem management activities, onboarding applications and effectively communicate to stakeholders for front office trading applications as part of a global production services team. The successful candidate will be one who also embraces innovation and can learn the business and technical components of an application and work with peers to ensure stable release deployments and platform stability. This role will be part of a team in New York, with a wider global team providing production services across core trading & technology locations. This person should have good knowledge of the Global Markets technology ecosystem, strong technical skills in monitoring and observability systems like Splunk and Dynatrace as well as Global Markets Equities domain understanding. They should be self-starters, with the ability to conduct independent research as well as collaborate with bank SMEs. Key Responsibilities: • Provide technical and operational support for Equities CASH, Derivatives & Swaps production traders, ensuring stability, performance, and compliance with enterprise standards • Act as a primary point of contact for user Queries, Triaging, troubleshooting issues, and escalating or resolving high-priority incidents • Work closely with Traders, Middle Office users, Sales and technology teams to prioritize and deliver enhancements aligned with business objectives • Implement process improvements, maintain quality controls, and ensure adherence to internal policies and regulatory requirements • Produce regular reports on system stability, incident trends, and team performance to support transparency and continuous improvement • Utilize SRE principles and solutions to drive stability & resiliency improvements • Manages and prioritizes multiple tasks and assignments for the team including tracking tasks and tickets in system(s) of record, ensuring enterprise service level agreements are met, and participating in defect, incident, problem, and change review meetings and release activities • Provides point of escalation for team members, peers, and partner teams, and shares the leadership Point of Contact for triage of high priority incidents or consulting engagements • Works with appropriate teams to ensure alerts, monitoring, dashboards, and processes are established appropriately for new projects and initiatives Performs access reviews, conducts compliance activities, and serves as a delegate for administrative processes Required Skills & Experience Required Qualifications • 5+ years of hands-on experience in Application support/development, ensuring stability for critical Trading platforms in a global, team-oriented environment • Hands on experience providing direct support to front office trading desks • Knowledge of Equities/ Equities CASH asset class and related trade processing flows. • Experience with distributed application platforms: UNIX, LINUX • Strong experience with SQL • Ability to lead triage and solve production outage situations under tight deadlines, including root cause and problem resolution follow-ups • Experienced on monitoring tools such as ITRS Geneos, Splunk, Dynatrace • Experienced in ITIL processes (using Remedy/ServiceNow for ticketing) and Jira for workflow mgnt • Programming skills: Python • Excellent verbal and written communication skills • Knowledge of ITIL & SDLC principles and execution • Experience in coordinating with offshore/onshore support, business, vendor, and infrastructure partners Nice to Have Skills & Experience Desired Qualifications • Experience with Ansible • Proficient in Grid computing • Knowledge of and experience in SRE Practices Results oriented, must be able to effectively collaborate with Senior Management and Business Partners to find solutions Compensation: Up to $180,000. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role Presidio Engineering Manager / Senior Manager - Product Engineering leads the design and delivery of modern, cloud-native applications across AWS, Azure, and GCP. This role builds high-performing global teams that drive technical excellence, delivery quality, and engineering consistency across Presidio's Digital Practice. As a key partner to the VP of Product Engineering, you will strengthen delivery governance, accelerate modernization initiatives, and enhance operational maturity across distributed teams. This is a hands-on leadership role, balancing technical depth with people management, client engagement, and process improvement. Responsibilities include: Practice and Delivery Leadership • Lead the design and delivery of scalable, secure, cloud-native applications on AWS, Azure, and GCP., • Ensure delivery quality through strong architecture, clear standards, and proactive risk management., • Partner across AppDev, Data, and Cloud practices to maintain alignment on delivery models and technology direction., • Support Presidio's digital roadmap through standardization, best practices, and continuous improvement., • Collaborate with Pre-Sales and Solution Owners on scoping, delivery estimates, and proposals., • Manage and coach a team of engineers and architects, fostering accountability, learning, and collaboration., • Drive professional growth through mentoring, training, and exposure to client delivery., • Partner with global leadership to optimize utilization, delivery quality, and team engagement., • Technology and Innovation, • Promote modern engineering practices including DevSecOps, CI/CD, and Infrastructure as Code (Terraform, Ansible)., • Encourage adoption of automation and AI-assisted tools to enhance productivity and speed., • Represent Presidio in client architecture discussions, workshops, and solution design sessions., • Partner with Sales, Solution Owners, and Practice Leaders to identify and pursue delivery opportunities., • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)., • 10+ years of software or product engineering experience, with at least 2+ years in a leadership or team lead role., • Proven success delivering cloud-native or hybrid applications on AWS, Azure, or GCP., • Strong technical foundation in Java, C#, Python, Node.js, React, or Angular., • Experience with Kubernetes, Docker, microservices, and serverless architectures., • Familiarity with DevSecOps, CI/CD, and Infrastructure as Code using Terraform or Ansible., • Understanding of automation and AI integration in modern engineering workflows., • Excellent communication and stakeholder management skills across technical and business domains., • Experience in consulting or client-facing software delivery., • Exposure to data engineering or end-to-end digital solution delivery., • Certifications in AWS, Azure, GCP, Agile, or Product Ownership., • Experience managing distributed or global engineering teams. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. DCW #LI-TS1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Senior AI Engineer (REACT/Front End) Location: Hybrid, USA (Birmingham, MI, Chicago, IL, New York, NY, Fort Lauderdale, FL) Employment Type: Full-Time Compensation: $120,000 - $149,750,000 (Range applies to US candidates only) + Benefits/Variable Comp/Equity - Range may vary based on experience. Benefits Offered: Vision, Medical, Life, Dental, 401K Summary As a Senior AI Engineer you will be a critical member in executing our AI development initiatives within the OneStream platform. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Your primary function will involve overseeing the entire lifecycle of AI and software subsystems-from defining requirements and designing systems to project planning and implementation. This critical role is instrumental in enhancing our AI capabilities, directly impacting our products' performance and scalability across various markets. In this position, you will also play a key leadership role, collaborating with cross-functional teams including Solution Engineering, AI Delivery, and Cloud Engineering. Your expertise will not only drive innovation but also mentor and guide other engineers, ensuring high-quality deliverables and promoting a culture of excellence. Primary Duties and Responsibilities • Lead the design and development of scalable, high-performance applications and services using a variety of front-end and back-end technologies., • Design software subsystems and lead the project management and timely execution., • Use Python and SQL to build AI systems and functionality., • Troubleshoot and debug issues across the full stack, from the user interface to the database layer., • Lead technical design sessions to decompose and design complex systems and interfaces, ensuring they meet both technical and user requirements., • Lead code reviews, provide technical guidance, and mentor junior engineers., • Plan out product releases at a strategic and tactical implementation level for the rest of the team. Required Education and Experience • Bachelors Degree or similar work experience., • CS/DS/EE/CE Degree or similar experience., • 3-5 Years experience building and deploying production-level machine learning solutions or similar experience., • 3-5 Years of Python (or similar experience)., • Proficiency in Database schema design., • Proficiency of distributed systems and cloud-based computing. Preferred Education and Experience • Experience with web services and API frameworks (Flask, FastAPI, etc.)., • Knowledge of distributed systems and cloud-based computing. Knowledge, Skills, and Abilities • Quick learner who can understand and self-teach new technologies., • Ability to multi-task and prioritize ongoing activities based on importance., • Writes code using timeless software design patterns (dependency injection, volatility decomposition, etc.)., • Adaptable to changes in technology and the business environment., • Strong ability to analyze problems, trace them to their core causes, and effectively address them in a systematic manner., • Excellent verbal and written communication skills, capable of mentoring junior engineers and leading project teams., • Proficient organization skills to lead and deliver complex projects on schedule., • Capable and comfortable effectively presenting in front of your peers., • Comfortable engaging and presenting to C-level executives from time to time. Travel • Minimal travel is required. Who We Are OneStream is how today's Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit ___. Why Join The OneStream Team • Transparency around corporate structure, salary, and benefits., • Core value of customer success., • Variety of project work (not industry-specific)., • Strong culture andcamaraderie., • Multiple training opportunities. Benefits at OneStream OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: • Excellent Medical Plan., • Dental & Vision Insurance., • Life Insurance., • Short & Long Term Disability., • Vacation Time., • Paid Holidays., • Professional Development., • Retirement Plan. All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems. • Partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems., • Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments., • Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools., • Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure., • Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments., • Strong understanding of frontier model evaluation methodologies and the current research landscape., • Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow)., • Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD., • Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models., • Experience collaborating with operations or external teams to define high-quality human annotator guidelines., • Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis., • Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Senior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Pay rate range: $74.00 - $78.00 per hour (Negotiable based upon years of experience) Global Financial Firm located in RUTHERFORD, NJ has an immediate contract opportunity for an experienced Java /Spark Developer Summary: Immediate contract opportunity available at a Global Financial Firm located in Rutherford, NJ. This role is on a Hybrid Schedule, requiring office presence 3 days a week based on team requirements. Responsibilities: Develop and optimize scalable Java Spark-based data pipelines for processing and analyzing large-scale financial data. Design and implement distributed computing solutions for risk modeling, pricing, and regulatory compliance. Ensure efficient data storage and retrieval using Big Data technologies. Implement best practices for Spark performance tuning, including partition, caching, and memory management. Maintain high code quality through testing, CI/CD pipelines, and version control (Git, Jenkins). Work on batch processing frameworks for market risk analytics. Requirements: 7 years of experience in software development with at least 3 years in Java Spark and Big Data frameworks. Strong proficiency in Python and Java Spark with knowledge of core Spark concepts (RDDs, Dataframes, Spark Streaming, etc.). Experience working in financial markets, risk management, and financial instruments. Familiarity with market risk concepts including VaR, Greeks, scenario analysis, and stress testing. Hands-on experience with Hadoop and Spark. Proficiency in Git, Jenkins, and CI/CD pipelines. Excellent problem-solving skills and a strong mathematical and analytical mindset. Ability to work in a fast-paced financial environment.

Pay Rate: $74.00 - $78.00 Negotiable based upon years of experience Global Financial Firm located in RUTHERFORD, NJ has an immediate contract opportunity for an experienced Data Scientist Summary: Immediate contract opportunity for an experienced professional Location: Rutherford, NJ Role involves establishing and implementing new or revised applications and programs in the Technology team Focus on data extraction and analysis from structured and unstructured sources Develop systems to clean results and build predictive and prescriptive models Implement models in a production environment Address complex problems involving financial data with a focus on credit risk management Open to learning new and advanced models in LLM and GenAI Responsibilities: Architect, design, and implement robust Python-based solutions Lead global technology teams across different time zones, enabling a hybrid work model Drive Object-Oriented Programming (OOPS) principle-based development Mentor team members to leverage advanced Python coding techniques and features Partner with multiple management teams for integration of functions and system enhancements Resolve high impact problems/projects through in-depth evaluation of complex business processes Provide expertise in applications programming and ensure design adheres to architecture blueprint Develop standards for coding, testing, debugging, and implementation Provide in-depth analysis with interpretive thinking for defining issues and developing solutions Serve as advisor or coach to mid-level developers and analysts Implement Unit Testing and TDD to ensure software quality and maintainability Assess risk when making business decisions, demonstrating consideration for the company's reputation Requirements: PhD or master’s degree in computer science, data science, statistics, mathematics, engineering, or related field 5 years of industry experience specializing in ML modeling, ranking, recommendations, or personalization systems 5 years of experience designing and developing scalable and reliable machine learning systems Strong background in ML/DL/LLM algorithms, model architectures, and training techniques Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages Ability to work independently and collaboratively within a team Preferred Skills: Experience in GenAI/LLMs projects Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL) Background in financial business like banking, risk management Familiarity with capital markets and financial instruments and modeling

Develop, design, and implement Hadoop analytics infrastructure applications according to client specifications.Analyze, modify and integrate user needs and develop software solutions for open-source software framework for storing data.Develop and improve Open source distributed computing platforms.R

Clockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining the foundations of distributed computing. This is a unique opportunity to join an early-stage, high-growth company building foundational infrastructure for AI/ML systems. Clockwork S

Bloomberg's application teams face complex challenges - large-scale data storage, low-latency retrievals, high-volume requests, and high availability over a distributed computing and storage environment. We also provide standard methodologies and domain expertise on Hadoop services to applications a

A pioneering AI-powered biology firm is seeking a hybrid role focused on transitioning research to production by deploying models and managing data pipelines.Candidates should have experience with distributed computing frameworks and familiarity with tools like Apache Spark and Docker.The position o

Job DescriptionAbout the Company At Flow, we’re reimagining what it means to live, work, and connect. More than just a real estate company, Flow is a brand, a technology platform, and an operations ecosystem spanning condominiums, hotels, multifamily residences, and office spaces. We’re building a new kind of living experience: one that’s flexible, connected, and designed to create genuine community and real value for the people who call Flow home. Our mission is oneness: prioritizing our residents and their experiences, and fostering connection with ourselves, their neighbors, and the natural world. By putting people at the center of everything we do, we’re creating vibrant, human-centered communities where life, work, creativity, and play all come together in one place. About the Role As a Senior Software Engineer, you will develop backend systems that scale with Flow's growth. You’ll work on critical systems, collaborating with cross-functional teams to build secure, resilient services. In this role, you will actively solve complex problems with autonomy, proactively identify improvements, and take ownership of your work. We believe employees are better together. Every position at Flow has an onsite or in-office requirement.Responsibilities • Build and optimize APIs, backend services, and distributed systems., • Collaborate with frontend, product, and infrastructure teams to ship new features, supporting peers across teams and mentoring junior engineers., • Design, develop, and maintain scalable software solutions while communicating across teams and providing useful asynchronous context., • Conduct thorough testing and performance tuning to ensure reliability, connecting technical work to product impact and customer value., • Participate in architecture discussions, propose technical solutions, and handle loosely defined problems with creativity and insight., • Learn from failures, reflect, and work hard to improve under pressure, while elevating team outcomes and engineering quality.Qualifications, • 10-15+ years of backend software engineering experience, with a proven track record of impacts across multiple areas or services., • Strong understanding of distributed systems, API development, and cloud computing., • Experience with Kubernetes, Docker, and cloud-native infrastructure., • Proficiency in modern programming languages (Go, Python, Kotlin, TypeScript).

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Backend Engineer - Crypto - this is a fully onsite role in NYC or London. As a Backend Engineer focused on data, youll design and scale our real-time data infrastructure at the forefront of crypto and social finance. You will: * Interact directly with Solana full nodes and RPC infrastructure to extract raw on-chain data at high throughput * Build and operate reliable pipelines that ingest blockchain data into ClickHouse (or other OLAP systems) for low-latency analytics * Maintain the accuracy, uptime, and performance of our analytics services, ensuring stakeholders always have trusted insights * Architect, ship, and own high-performance data solutions that power the worlds largest crypto social network * Solve complex challenges around data consistency, scale, and performance where innovation and efficiency are paramount * Collaborate with a world-class team of engineers and product leaders; own your work from concept to production Who You Are * An engineer with strong experience in any of: backend systems, data engineering, distributed systems, or high-performance computing * Passionate about building scalable platforms that handle massive data volumes and enable real-time insights * Experienced with databases, streaming systems, or analytics platforms (e.g., ClickHouse, TimescaleDB, or similar columnar/time-series databases) * Comfortable with Rust, Go, or other systems programming languages * A problem-solver who thrives in ambiguity and executes quickly * Ownership-driven, capable of leading features end-to-end with minimal guidance * Experienced in high-growth environments, startups, or fast-moving product teams where speed and impact matter * Excited to work alongside top-tier engineers and push the boundaries of how people interact with crypto * Familiarity with crypto, DeFi, or blockchain technologies Why Join Us? If you're the type who thrives in chaos, loves ambitious problems, and wants to build something game-changing, we want to hear from you. At our core, we believe in: Speed over perfection - ship now, iterate later Ownership over bureaucracy - every person here makes big decisions Talent density over headcount - we hire the best, no exceptions Building for the future - crypto moves fast, and so do we If you're ready to move fast, break things, and build the future, apply now.

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you! Responsibilities: • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models., • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals., • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints., • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency., • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data., • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems., • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards., • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields., • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures., • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation., • Strong mathematical foundations in linear algebra, probability, optimization, and information theory., • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.)., • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued., • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG)., • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data., • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains., • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro)., • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure)., • Contributions to open-source ML frameworks or custom CUDA kernels., • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment. At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. Expected Compensation: The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth. Base Salary Range: $85,000 - $150,000 USD What We Offer: • An opportunity to change the world and work with some of the smartest and most talented experts from different fields, • Growth potential; we rapidly advance team members who have an outsized impact, • Paid holidays, unlimited PTO

Job DescriptionJob Description Job Title: Jr Java Dev (Backend) Location: New York, NY Duration: 12 months Please look for local candidate who is available for F2F. Job Summary: What you will do: • Build time critical and revenue generating applications for investment banking and global capital marketing businesses, • Use design thinking to improve developer efficiency, • Apply your knowledge of APIs, components, security standards, testing tools, web browsers, mobile development, etc. to deliver outstanding outcomes, • Collaborate with your peers across the globe to build innovative solutions which delight our users, • Work closely with Product Management Team, Development & QA Teams to deliver timely and quality deliveries., • Successfully multi-task and thrive in a dynamic, fully engaged developer role.Qualifications Skills Required: • Strong Java developer (4+ years), who has good grasp of functional and reactive programming, • Experience in using Spring Containers (with Spring Boot) for enterprise applications, • Experience in building data-intensive / real time applications and scaling of applications (multithreading, performance, maintainability, and robustness), • Working experience on XML, JSON, SOAP, REST Services, • Proficiency in Java 8 (Lambdas, Streams, Completable Future, Optional, generics), • Experience in developing REST APIs using Spring Boot 2.0 (reactive) and skilled in Open API (swagger) specification., • A working knowledge of backend web development technology topics like APIs, asynchronous messaging, and cloud computing, • Experience in relational data bases like DB2 or PostgreSQL, • Experience with Test Driven Development (TDD) / Behavior Driven Development (BDD) practices, writing test cases with testing frameworks like Junit, Cucumber, Rest assured, • Basic knowledge on Unix / shell scripting and RDBMS like Sybase, • The ability to effectively communicate verbally and in writing to a broad audience of business, product, and technology team members, • Experience with no-SQL databases such as MongoDB, • Experience with distributed systems architecture concepts such as micro services, service meshes and API gateways, XML , SOAP, • Experience with software development and collaboration tools (GitHub, Jira/Rally, Confluence, etc.), • Experience in using GIT for source control management, and Automated Build Deployment tools (eg: Jenkins), • Significant open source or other community contribution Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description The Conference on Jewish Material Claims Against Germany (Claims Conference), a nonprofit organization with offices in New York, Israel, Germany and Austria, secures material compensation for Holocaust survivors around the world. Founded in 1951 by representatives of 23 major international Jewish organizations, the Claims Conference negotiates for and disburses funds to individual survivors and organizations and seeks the return of Jewish property stolen during the Holocaust. As a result of negotiations with the Claims Conference since 1952, the German government has paid more than $95 billion in indemnification to individuals for suffering and losses resulting from persecution by the Nazis. In 2025, the Claims Conference distributed approximately $530 million in compensation for survivors globally and $960 million for survivors’ welfare needs such as home care, medicine and food. The Claims Conference is seeking a skilled and dedicated Network Administrator to join our dynamic IT team. This individual will oversee network security, troubleshoot network issues, and lead projects to improve network environment. The ideal candidate is organized, passionate about staying up to date on IT best practices and can work in a team environment. Note: this is a hybrid position with a minimum of two days in the office. Responsibilities: • Administrating, maintaining and provisioning resources for global windows domain, core-business servers and appliances;, • Acting as lead administrator for global email systems, network security and intrusion prevention systems and Backup systems;, • Supporting local IT Office System Administrators;, • Auditing all offices to ensure compliance with operational policies, procedures, and guidelines;, • Conducting/coordinating complex troubleshooting activities;, • Assembling of equipment and network performance reports and monitoring for user utilization levels;, • Assessing and recommending maintenance and/or hard/software solutions to maximize business user and operational effectiveness;, • Designing solutions to eliminate moderately complex technical and business problems;, • Maintaining open and collaborative relationship with client management on ongoing project and maintenance work;, • Monitoring and providing technical training to team members;, • Assisting junior staff with diagnosis and resolution;, • Contributing to the development of future resource planning and design;, • Providing second-level support to Client Services, end users, developers, and operations staff;, • Researching complex problems and their resolutions;, • Working with all levels of vendor organizations on incident, problem, and service management and deliverables;, • Bachelor's Degree in Engineering or Science related discipline or equivalent IT experience;, • Strong interpersonal and communication skills;, • CCNA Certifications required;, • MCSE Certifications preferred;, • Self-motivated and strong capability to learn new concepts and systems;, • Advance understanding of Windows Server OS 2019, AD and GPO;, • Advance understanding of Windows Server 2012, 2017, 2019 (and greater), Active Directory, Group Policy Objects;, • Advance understanding of Office 365 and Azure;, • Advance understanding of AWS Cloud computing environment;, • Advance understanding of VPC,VPN and VDI; I acknowledge by proceeding with my application that if employed I will abide by the Claims Conference Statement of Values which can be found at this link. The Claims Conference is an equal opportunity employer and values diversity. We do not discriminate on the basis of any category protected by law, including (without limitation) race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Ph.D. in Computer Science, Software Engineering, or related field Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming * Experience with the Linux operating system, cloud virtualization and storage systems * 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud) * Knowledge of Python programming language Preferred Skills & Experience * University teaching experience * Experience with setting up and configuring Google Cloud Platform services * Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary Range: $11,000-$13,000 per semester length course

Job DescriptionNEW YORK METRO AREA Established in 1978, Digital Media Systems, Inc. (DMS) is a recognized leader providing best-in-class audiovisual solutions to the motion picture, post-production, distribution, and broadcast fields. Position OverviewThe commercial Cinema Technician is a full-time position that directly supports our efforts to provide world-class service to our wide range of clients, including commercial and independent theater owners, private and corporate screening rooms, post-production facilities, universities, museums, and more. With a focus on cinema, you’ll work with a passionate and talented group of field technicians and installers to take commercial AV projects from concept to creation, and subsequently operate and maintain those systems, once in place. This is a permanent, full-time, benefited position. Job Responsibilities • Identify and diagnose audiovisual presentation issues and equipment failures., • Provide remote and onsite support/troubleshooting assistance and guide non-technical theater and venue staff, communicating step-by-step instructions in understandable terms., • Complete routine and emergency onsite equipment service and preventative maintenance, including but not limited to equipment installation, consumable and part replacement, deep cleaning of projection system and optics, and device firmware updates and backups., • Perform routine calibration of video/imaging and audio equipment, including but not limited to image luminance/color calibration, image geometry/focus adjustment, graphic equalization, synchronization, and SPL measurement of audio channels., • Ensure the highest industry presentation quality standards are met at high profile film premieres, screenings, and other special events., • Daily travel throughout the New York metro area and occasionally out of town/out of state.Mandatory Qualifications, • Read, interpret, diagnose and affect repair of semi complex electronic equipment, e.g. printed circuit boards, power supplies, multiplexing systems, amplifiers, etc., • Provide technical guidance and training for above to other technicians., • Printed Circuit Board (PCB) / Electronics Repair SkillsMinimum Qualifications, • 3+ years’ experience operating/servicing professional audiovisual equipment., • Comprehension of AV system schematics, signal flow, and modern audio and video formats., • Experience with AV and electrical test equipment, including but not limited to: light meters, colorimeters/spectroradiometers, oscilloscopes, real-time analyzers (RTA), SPL meters, signal generators, and multimeters., • Demonstrate modern computing skills, including experience with Windows and macOS, and competencies in word processing, spreadsheets, data entry, and research., • Experience configuring and troubleshooting basic wired and wireless networks., • Excellent verbal and written communication skills., • Ability to work diligently, calmly, and professionally, under tight run-of-show deadlines., • Valid driver’s license and reliable transportation., • Flexibility in scheduling with a willingness to work nights, weekends, and holidays (paid) depending on business needs., • Ability to engage in physical activity, including lifting (up to 50lbs), standing for long periods, walking up and down stairs, and climbing ladders/scaffolding., • Must be authorized to work in the United States.Preferred Qualifications, • Knowledge and proficiency with commercial Digital Cinema equipment, including Christie, Barco, NEC, Sony, Dolby/Doremi, GDC, QSC/USL, etc., • Experience with DSP systems, audio over IP, and other distributed audio systems such as Q-SYS/Q-LAN, AES67, Dante, etc., • Understanding of control systems, such as Q-SYS, Crestron, Extron, AMX, etc, and third-party control methods and equipment such as electrical relays/switches, contact closure, GPIO, and TCP/UDP IP control., • Experience with commercial digital signage systems and LED walls., • Ability to solder and terminate cables and connectors., • CTS and related professional certifications.We Offer, • Starting salary: $70,000-$95,000+/year, commensurate with experience., • Additional compensation: annual bonus based on performance., • Benefits: Health insurance, 401K, PTO in addition to sick days and paid holidays., • 401(k), • Bonus based on performance, • Health insurance, • Opportunity for advancement, • Paid time off Digital Media Systems, Inc. is an equal opportunity employer. We value diversity and encourage applications from all qualified candidates. Only shortlisted candidates will be contacted for interviews. Join us to lead with impact and help shape the future of Digital Media Systems, Inc. About Us Digital Media Systems, Inc. is a leading provider of audio-visual solutions for the motion picture industry. We have represented the high-profile interests of Hollywood film studios, postproduction, and cinema exhibition facilities, as well as industry defining product manufacturers. Our goal is to provide superior products, technologies, support, and services to the entertainment industry in an efficient and comprehensive manor. Visit us at for more information about our company and offerings.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at this Role: We are seeking a highly experienced and strategic Principal Engineer to lead the architecture, development, and operations of our Observability product. In this role, you will help shape the vision and direction on how customers monitor, troubleshoot and run their AI workloads effectively, at scale. You will have direct access to customers and work closely with engineering stakeholders across multiple teams to advance the development of our unified Observability experience across CoreWeave products. What You'll Do: • Lead the strategy and implementation for Observability, ensuring alignment with business goals and performance objectives., • Design and implement advanced solutions, including low-latency, high-scale Observability pipelines across all products., • Build solutions that offer insights to customers for rapid troubleshooting of their AI workloads., • Champion initiatives to improve the reliability, durability, and self-healing capabilities of Observability metrics, and assume operational responsibilities., • Help shape customer experience by promoting unparalleled visibility into our systems' performance and reliability with customer facing metrics and dashboards., • Analyze telemetry for production systems to identify opportunities for improvement in performance and reliability., • Develop operational review practices for storage engineering to assess performance against targets and iterating on those targets., • Act as a trusted advisor to senior leadership, providing insights on storage industry trends and advocating for investments in storage technologies., • Collaborate with engineering, infrastructure, and product teams to ensure storage solutions align with evolving project requirements and technical architecture., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.Who You Are:, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field., • 10+ years of experience in distributed systems, with a focus on reliability and scale., • Proven experience leading storage product engineering projects and building products to address customer needs., • Proficiency in one or more programming languages (e.g. Go, C, Rust)., • Good understanding of distributed observability systems such as ClickHouse for telemetry at scale., • Strong understanding of cloud computing infrastructure using Kubernetes, scalable architectures, and automation., • Excellent analytical and problem-solving skills, with the ability to synthesize problem statements from interactions with customers and design solutions given ambiguous requirements., • Strong communication and interpersonal skills, able to convey storage engineering strategies and practices to technical and non-technical audiences. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description We are seeking an experienced technologist to lead and enhance our firm’s technology infrastructure. This individual will oversee multiple technology teams, ensuring the implementation of scalable, secure, and efficient systems that meet our growing computational demands and cybersecurity priorities. The role requires strong leadership, cross-team collaboration, and a strategic mindset to drive infrastructure improvements across the organization. Responsibilities • Design, build, and enhance core infrastructure systems that support trading, research, and operations, including integration with the firm’s Order Management System (OMS)., • Evaluate existing systems to identify bottlenecks and implement improvements that enhance scalability, performance, and security., • Lead and mentor technology teams, promoting best practices in software engineering, system design, and performance optimization., • Collaborate with cross-functional teams to align technical initiatives and define a long-term infrastructure roadmap., • Oversee the development, integration, and deployment of systems and tools in C++/Python/Java/Linux environments., • Ensure seamless implementation of new technologies while maintaining system reliability and uptime., • Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related STEM field., • 5+ years of hands-on programming experience building and optimizing large-scale systems in C++, Python, or Java within Linux environments., • Proven track record of architecting and scaling infrastructure in high-performance or distributed computing settings., • Proven experience designing, implementing, or supporting Order Management Systems (OMS) or comparable trading infrastructure, • Strong problem-solving skills with a deep understanding of systems architecture, networking, and security fundamentals., • Excellent communication skills and the ability to collaborate effectively across technical and business teams., • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO Health, dental and vision insurance premiums fully covered for you and your. dependents., • Pre-tax commuter benefits., • Weekly company meals Applications are now open for our NYC office, opening in September 2026. The base salary range is $175,000.00 - $200,00.00 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. Trexquant is an Equal Opportunity Employer

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: The Common Services organization at CoreWeave is responsible for the shared platforms, APIs, and foundational services that power our AI cloud products and internal engineering teams. From authentication and authorization to core platform primitives and developer experience tooling, this organization ensures that the rest of CoreWeave can build, ship, and operate reliably at scale. As Reliability Lead, Common Services, you will establish and lead the Reliability Engineering and production operations practice for this organization. You'll partner closely with engineering leaders and teams across Common Services to define how we build, release, monitor, and operate critical services—raising the bar on reliability, availability, and operational excellence across the board. About the Role: As Reliability Lead, Common Services, you will be responsible for defining the reliability strategy, processes, and standards for the Common Services portfolio and driving consistent, high-quality operational practices across multiple teams. You'll monitor production incidents within Common Services, and work directly with your partner teams to design systems that are reliable, observable, and supportable. Your day-to-day will blend hands-on technical work and cross-functional leadership to drive continuous improvement of Common Services production operations. In this role, you will: • Establish and lead the SRE / production engineering practice for the Common Services organization, including standards for reliability, incident management, and on-call, in partnership with the central Product Engineering organization., • Develop an Operational Excellence strategy that focuses on not only improving system performance but also monitoring and reducing operational toil, • Partner with engineering and product teams to define SLOs, SLIs, and error budgets for critical Common Services, and ensure these become part of how teams plan and make tradeoffs., • Own and improve the incident management lifecycle for Common Services, including on-call rotations, escalation paths, incident tooling, post-incident reviews, and follow-through on corrective actions., • Drive the observability strategy (metrics, logs, traces, dashboards, alerts) for Common Services, ensuring we have actionable visibility into the health, performance, and capacity of key systems., • Collaborate with engineering leads to design and review architectures for reliability, scalability, resilience, and operability, including failure modes, redundancy, and graceful degradation., • Lead efforts to automate and harden operational workflows, including deployments, rollbacks, configuration management, change management, and routine maintenance tasks., • Build strong, trust-based relationships with partner teams and stakeholders, becoming a go-to leader for production readiness and operational risk within Common Services., • Hire, mentor, and develop SRE and production engineering talent, fostering a culture of continuous improvement, learning from incidents, and humane on-call., • Partner with other SRE and production engineering leaders across CoreWeave to align on global practices, tools, and reliability goals, representing the needs and constraints of Common Services.Who You Are:, • 7+ years of experience in Site Reliability Engineering, Production Engineering, or similar roles working on distributed systems or cloud/platform services., • 2+ years of technical leadership experience (team lead, staff/principal engineer, or people manager) where you drove reliability and operational improvements across multiple services or teams., • Strong background in Linux-based production environments, containers, and orchestration technologies (e.g., Kubernetes), including debugging complex issues in live systems., • Hands-on experience with observability stacks (metrics, logging, tracing) and alerting systems, and a track record of designing meaningful SLIs/SLOs and alert strategies., • Proven experience running on-call rotations and incident response, including leading high-severity incidents and driving high-quality post-incident reviews., • Demonstrated ability to design for reliability (capacity planning, redundancy, failover, backoff, circuit breaking, graceful degradation, etc.) in large-scale or mission-critical systems., • Comfortable working with infrastructure-as-code and automation tooling (e.g., Terraform, Ansible, Helm, CI/CD pipelines) to make operations repeatable, auditable, and safe., • Strong cross-functional communication skills—you can translate between engineering, product, and business stakeholders and influence without relying solely on authority., • A bias toward data-driven decision making, using production data, capacity signals, and incident trends to inform priorities and investments.Preferred:, • Background working with GPU workloads, high-performance computing, or latency/throughput-sensitive systems., • Experience with multi-tenant, multi-region, or highly regulated environments, and the associated reliability considerations., • Familiarity with service ownership models and strong opinions on how to align ownership, on-call, and accountability in a scalable way., • You care deeply about operational excellence and see reliability as a product feature, not an afterthought., • You're excited by the challenge of bringing order and clarity to complex, rapidly evolving systems., • You're passionate about building humane, sustainable on-call practices and learning from incidents without blame., • You enjoy partnering with multiple teams, influencing through context and clarity rather than authority alone., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on networking technologies within high-performance compute (HPC) environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Networking product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on infrastructure networking., • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Expertise with a broad range of networking technologies and topics, with a familiarity to understand the needs and use cases is it relates to securing and enabling high performance networking engironments., • Experience with managing infrastructure networking, Kubernnetes CSI management, and private networking concepts, • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to network technologies, • Experience with building solutions across multi-cloud environments, • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on storage technologies within high-performance compute (HPC) environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Storage product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on storage solutions, • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking, • Deep understanding of storage/file system protocols and how to integrate them into infrastructure systems, • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to storage technologies, • Experience with building solutions across multi-cloud environments, • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Position Description A client of AlphaStaffHCM is seeking a Senior Software Engineer to lead frontend development initiatives across both our core product suite and digital customer experiences. This role requires a versatile engineer capable of building management consoles for our cloud and on-premise quantum devices while simultaneously delivering high-impact, interactive visualizations for market engagement. You will collaborate with backend engineers to integrate microservices for the core hardware control platform, while also working with UI/UX and Product teams to develop web-based demonstrations of our technology to a global audience. Responsibilities Product UI Engineering ● Develop a unified Next.js, React, and TypeScript codebase that functions as the central management interface for user access, system administration, and system auditing, which will be deployed in both cloud environments and on-premise hardware appliances. ● Integrate distributed backend microservices via RESTful APIs to visualize real-time hardware telemetry, job scheduling, and system status. ● Implement high-performance client-side data visualizations to visualize complex quantum phenomena. ● Manage runtime configuration strategies to ensure the application connects to the correct service endpoints regardless of the deployment environment. ● Implement Role-Based Access Control (RBAC) logic in the UI to enforce permissions and view-level security across complex application suites. Digital Experience & Interactive Applications ● Engineer interactive, web-based simulations that enable prospective customers to engage with quantum computing concepts in a browser environment. ● Implement advanced visualizations using Framer Motion, GSAP, Three.js or similar to represent complex physics logic intuitively. ● Maintain and optimize corporate web properties, ensuring compliance with Core Web Vitals, SEO standards, and mobile responsiveness. ● Oversee the technical integration of Content Management Systems to facilitate content updates by non-technical stakeholders. Required Qualifications ● 5+ years of professional experience in software engineering with a focus on frontend development. ● Strong knowledge of web security best practices, including the OWASP Top 10 (specifically XSS and CSRF mitigation), and experience implementing secure authentication flows (OAuth2/OIDC) and session management. ● Demonstrated ability to implement high-fidelity UI/UX designs with precision, strictly adhering to design specifications. ● Deep understanding of modern CSS layout models (Grid/Flexbox) and browser rendering engines. ● Experience integrating frontend applications with complex backend architectures, RESTful APIs, and microservices. ● Experience working with Content Management Systems or Headless CMS architectures (e.g., Next.js, Gatsby, Contentful). ● Knowledge of best practices for CI/CD. Preferred Qualifications ● Experience with WebGL, Three.js, D3.js, or similar for scientific data visualization. ● Knowledge of containerization workflows (Docker) for deploying frontend assets in on-premise environments. ● Familiarity with marketing technology stacks, including analytics implementation, A/B testing, and SEO best practices. Skills React, TypeScript, Next.js, CSS3, SCSS, Framer Motion, GSAP, REST APIs, Headless CMS, SEO, Responsive Design, Docker, CI/CD, OWASP, OAuth2

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Data Engineer in our New York City office. About the Role: As a Senior Engineer on the Data Products team, you will expand Applecart's data-mining capabilities to uncover deeper and more impactful connections within decision-maker networks. In this role, you'll work on ETL pipelines, APIs, and algorithms within a service-oriented architecture, helping to drive the team's technical evolution. You'll be part of a colocated, hybrid-remote group of collaborative engineers focused on delivering business value continuously. Together, you will own and enhance integrations with external APIs, large-scale batch data processing pipelines, and network-building algorithms, while contributing to the design and development of a centralized data Lakehouse architecture. As a senior team member, you'll collaborate closely with Product and Technology leadership to shape the future direction of Applecart's technology. Who You Are: You are a veteran software developer specialized in large scale data engineering. You have a long track record delivering products and collaborating with Product managers. You help define and evangelize coding best practices and enjoy coaching less experienced team members. Experiences and Capabilities You Bring: • You have 6+ years of professional software development experience, • You have strong computer science fundamentals, • You have designed and implemented scalable data processing pipelines, • You have worked with all types of storage/persistence engines, and know their applications: relational databases, document databases, key/value stores, etc…, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You are familiar with Lakehouse architecture and open file format (e.g. Apache Iceberg, Apache Hudi, Delta, etc), • You are a SQL expert, • You have experience with distributed computing and know the strengths/weaknesses of different frameworks (should include Apache Spark), • You manage AWS resources using infrastructure-as-code Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000-$200,000, based on the candidate's experience and skills relative to the requirements above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions, • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL), • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to Kubernetes clusters and workloads, • Experience with building solutions across multi-cloud environments, • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Pricing & Risk Technology | Equity Trading Location: Whippany, NJ (Hybrid) Compensation: Up to $180K base + bonus We are seeking an experienced Core Java Developer (AVP level) to join the Pricing & Risk Technology team within the Equities business. This role is heavily focused on hands-on development within a high-performance, low-latency trading environment. The ideal candidate will have strong Core Java expertise and experience building scalable, high-throughput systems supporting pricing and risk platforms. Key Responsibilities • Design and develop high-performance, low-latency Core Java applications, • Build and optimize pricing and risk systems within the equities domain, • Develop multithreaded, high-throughput services handling large volumes of real-time data, • Architect and deploy containerized applications using Kubernetes, • Build and maintain CI/CD pipelines leveraging GitHub, • Deploy and manage multiple microservices across distributed environments, • Optimize system performance, reduce latency, and improve scalability, • Integrate AI/Claude computing capabilities into the platform to enhance pricing and risk analytics, • Strong Core Java development experience (AVP-level engineer), • Deep understanding of multithreading and concurrency, • Experience building low-latency, high-throughput systems, • Background in equities trading, pricing, or risk technology, • Experience with containerization and Kubernetes, • Hands-on experience with CI/CD pipelines (GitHub preferred), • Experience deploying and managing multiple distributed services, • Exposure to AI platform integration (e.g., Claude or similar LLM frameworks), • Experience working in a front-office trading environment, • High-impact work within Equities Pricing & Risk, • Ownership of performance-critical systems, • Opportunity to integrate next-generation AI capabilities into trading infrastructure, • Competitive compensation: Up to $175K base + bonus

Job Description Position Description A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Quantum Information Theory and Network Security. This role is critical in building a secure data path for our quantum networking products. You will responsible for using theoretical quantum principles and photonic hardware to create deployment-ready software for Quantum Key Distribution (QKD), Quantum Zero-knowledge Proof (QZEK-P), Quantum Physical Unclonnable Functions (QPUF), and secure entanglement distribution. Responsibilities • Design and implement high-performance C++ software for real-time quantum cryptographic protocols, including entanglement-based polarization and time-energy QKD., • Develop efficient algorithms for classical post-processing in quantum-secured systems, specifically focusing on Error Correction (Information Reconciliation), Privacy Amplification to maximize secure key rates, and quantum authentication/confirmation., • Architect the Hardware Abstraction Layer (HAL) for distributed quantum networking nodes (Alice/Bob), interfacing with single-photon detectors, polarization controllers, and time-tagging electronics., • Optimize the full cryptographic stack for latency and throughput, ensuring seamless integration between quantum key generation, quantum authentication/confirmation, and the key management entity.., • Collaborate with optical physicists and FPGA engineers to deliver new features and provide updates as existing hardware is upgraded over time., • Develop simulation tools to model channel loss, noise sources, and the statistical performance of quantum protocols. Required Qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, Physics, or Mathematics is required., • 6+ years of experience in software engineering with a focus on systems, security, or embedded devices., • Strong proficiency in C++ and Python., • Deep domain knowledge of Quantum Key Distribution (QKD) protocols (e.g., BB84, E91, BBM92) and their implementation requirements., • Experience implementing Error Correction codes (e.g., LDPC, Cascade, Winnow) or Forward Error Correction (FEC) specifically for noisy communication channels., • Understanding of Quantum Information concepts, including entanglement distribution, Bell state measurement, and qubit polarization encoding., • Familiarity with high-speed data acquisition and processing protocols (e.g., PCIe, DMA, UDP/TCP)., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang). Preferred Qualifications • Knowledge of classical cryptography standards (AES, RSA, ECC) and PKI infrastructure., • Familiarity with Post-Quantum Cryptography (PQC) algorithms (Lattice-based, Hash-based)., • Experience with network security protocols (IPsec, TLS/SSL) and how QKD integrates into the OSI model., • Background in Information Theory and statistical analysis for security proofs. Preferred Education • Master’s or Ph.D. in Quantum Information Science, Physics, or Cryptography is highly preferred. Skills C++, Python, Quantum Key Distribution (QKD), Error Correction, Cryptography, Network Security, Entanglement, Polarization, High Performance Computing, Linux, Algorithms. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job Description Scala Engineer - AI/NLP startup NYC up to $200k If you are craving to learn something new every day while working at the cutting edge of AI, we could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious Scala engineer as core employee to help build complex AI/NLP models supporting our AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! Responsibilities • Design and implement complex software systems using Scala and related technologies such ZIO., • Collaborate with other team members to design and develop efficient algorithms, • Write clear, efficient, and maintainable code with a focus on scalability, fault tolerance, and performance, • Troubleshoot and resolve software bugs and issues in a timely manner, • Develop and maintain automated tests to ensure the quality of code, • Participate in code reviews to maintain code standards and ensure high-quality work, • Stay up-to-date with emerging trends and technologies in software engineering and make recommendations for future development efforts Requirements • Bachelor's degree in Computer Science or a related field, • At least 3 years of professional experience in Scala development, • Experience with Scala frameworks such as ZIO, Cats, etc., • Familiarity with distributed computing and message queuing systems, • Strong understanding of functional programming concepts and software design principles, • Proficiency with database systems like MySQL, PostgreSQL, etc., • Excellent analytical and problem-solving skills Please send resume to:

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an ML Engineer at Radical AI, you will be responsible for developing machine learning systems, data pipelines, and large-scale training infrastructure. You will orchestrate entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. Your work will directly impact the development of an end-to-end AI-driven approach to materials discovery and development. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Develop, train, and deploy machine learning models to solve complex problems in materials science and lab automation., • Experiment with cutting-edge ML algorithms and techniques to improve performance and scalability., • Collaborate with researchers on the pre- and post-training stages of model development., • Conduct production-level deployments of our machine learning models and infrastructure., • Continually evaluate model performance and maintain production integrity., • Ensure reproducibility and traceability of models by leveraging version control systems and orchestration tools., • Contribute to research initiatives and participate in knowledge-sharing across teams., • Document workflows, experiments, and deployment procedures for future reference., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, Engineering or a closely related field, or equivalent practical experience., • Proven record of accomplishment in building machine learning systems, working with large generative and/or language models, • An excellent understanding of machine learning infrastructure and systems fundamentals., • Strong background in algorithms, data structures, and software engineering principles., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Proficiency in Python and relevant ML libraries (e.g., PyTorch), as well as tools for deploying ML models (e.g., MLflow, K8s, Docker)., • Passion for staying current with the latest trends in AI/ML technologies., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Familiarity with distributed computing frameworks such as Ray, Spark, etc., • Strong fundamental knowledge and practical experience using Linux systems, including working with large-scale computing clusters., • Hands-on experience with MLOps tools (e.g., Kubeflow, Seldon, CI/CD pipelines for ML)., • Familiarity with serverless architecture and cost optimization for ML workflows., • Strong publication record in top-tier AI/ML conferences or journals.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences is a grantmaking and research group that views AI as a transformative force for scientific discovery and societal progress. Over the next decade, we aim to support key researchers who are working to make AI systems competent, trustworthy, reliable, and able to effectively partner with human scientists on the next generation of discovery. We will also make distinctive investments in beneficial AI areas where philanthropy has a unique advantage. By supporting enabling infrastructure, foundational research, and targeted programs in science disciplines, the AI and Advanced Computing Institute will create the conditions for AI-enabled discovery to achieve its promise. The AI Institute currently has three focus areas: AI for Science – using AI to improve how scientists generate hypotheses, conduct experiments, analyze data, and produce new knowledge – and do this in a way that specifically accelerates the discovery process. Exploratory programs include post-transistor hardware for AI and AI for scientific simulation.Science of AI – understanding and controlling AI systems to mitigate and manage potential risks from advanced AI. Improve AI reliability and performance in areas of limited commercial interest. Existing programs include AI2050 and Science of Trustworthy AI. Exploratory programs include AI interpretability and evolution of multi-agent communication.Beneficial AI – providing scientific foundations and datasets for understanding the larger human impacts of AI. This includes selected high-impact grantmaking, such as our programs to use AI to accelerate humanities research (Humanities and AI Virtual Institute), and to quantify the impact of AI on the labor market (AI@Work). These programs support and draw on related Schmidt Sciences engagements, such as the Virtual Institute for Scientific Software (VISS), which seeks to accelerate the pace of scientific discovery through the support and development of high-quality, community-oriented scientific software. These philanthropic efforts support experienced engineers who are tasked with building open-source infrastructure and applications for multi-disciplinary, high-performance, at-scale scientific discovery. The Role Reporting to the Compute Program Scientist in the AI Institute, the Infrastructure Engineer will provide technical leadership and apply computational infrastructure management expertise across AI Institute and Schmidt Sciences multidisciplinary efforts. The initial set of projects will focus on cutting-edge developments in AI, and a successful candidate should have a work portfolio that reflects specific contributions to deployment and management of appropriately-sized heterogeneous compute clusters in a research or commercial environments. Success for this role is defined by the adherence to the industry’s best DevSecOps practices at scale, and the ability to quickly address computing needs from multiple research teams. This role requires up to 50% domestic travel. Example activities for this role:● Implementing multiple Authorization and Authentication schemas to accommodate a diverse set of cluster users and applications.● Managing a mixed-type network storage system with different access models and hardware performance characteristics.● Designing, implementing, deploying, and maintaining a Continuing Integration Continuous Delivery (CICD) system to address the needs of geographically distributed developers and applications.● Integrating multiple types of workflow orchestration systems in combination with software dependency package and module management frameworks. Key Responsibilities for this role include the following:Primary Technical Development • Continually identify, evaluate, and deploy open source and proprietary technologies that meet the combined infrastructure requirements from an evolving list of projects., • Implement performant solutions that meet industry compliance and security standards while enabling rapid development workflows., • Collaborate with hardware and software vendors on methods and configurations that maximize system resource utilization.Additional Schmidt Sciences Support, • Assist existing programs by providing infrastructure management advice, while working closely and collaboratively with multiple subject matter expert teams., • Work with other members of the Schmidt Sciences technical team to implement new deployment strategies and application hosting capabilities in support of diverse applications and user audiences., • Maintain awareness and track industry trends for hardware and software tooling that simplifies infrastructure management, while lowering the cost of deploying and supporting multi-tenant research applications., • Participate in relevant industry events and forums, representing Schmidt Sciences’ presence on AI and advanced computing issues.Required Knowledge, Skills, and Abilities, • A Bachelor’s degree from an accredited institution, with a focus on Computer Science, Information Technology, or a related field., • 5+ years of professional experience managing production-grade compute clusters., • Proficiency with code-management and infrastructure-provisioning tools and best practices., • Hands-on experience with workload management using Slurm and Kubernetes., • Proficiency with modern machine-learning hosting software frameworks, such as NVIDIA Dynamo, TensorFlow Serving, Ray, etc., • Proficiency in building, deployment, and troubleshooting containerized Linux workloads, including GPU-accelerated configurations., • In-depth knowledge of data center networking technologies and solutions., • Understanding of the tech stack needed to design, train, deploy, and maintain state-of-the-art AI models at a production scale., • Experience producing technical writing for expert and general audiences., • Good track record of collaborative impact in high-intensity, team-based environments., • Sense of controlled urgency in driving work to completion., • The highest integrity and ability to maintain confidentiality., • Be able to travel within the U.S. and internationally on a regular basis as needed.Preferred Knowledge, Skills, and Abilities, • Expert-level experience and industry credentials in the software and hardware frameworks that drive modern AI, and competence in at least one, and preferably multiple, fields of science impacted by modern AI., • Prior leadership of data center infrastructure initiatives and projects, such as evaluating hardware scalability, securing data, or executing large-scale upgrades., • Expertise in relevant technical focus areas, e.g., AI model performance monitoring or network and storage optimization, etc., • Ability to work with and effectively translate technical concepts across multiple scientific disciplines., • Ability to critically evaluate scientific and technical publications and emerging methods in related disciplines.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Senior Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Own and contribute to foundational models that power our recommendations ecosystem., • Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.), • Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning., • Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++, • System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models. Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus., • DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as a Machine Learning Engineer., • 2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes., • 2+ years of experience designing and developing online and production grade machine learning systems., • 1+ year of experience leading projects with at least 1 other team member through completion. #Hinge

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Software Engineer working on platform, you'll design and build the internal backbone that makes Radical AI run: the services, frameworks, deployment primitives, developer workflows, and reliability systems that allow product engineers, scientists, and ML teams to ship faster - without breaking things. This is not a "tickets and toil" DevOps role. We're looking for a strong backend engineer who's spent years building real systems, and now wants to own the platform that makes every team faster.Mission • Build and operate core platform services that power production systems, • Design internal APIs, service patterns, and shared libraries that enable teams to ship quickly and safely, • Own reliability in real-world environments: deployments, failures, observability, incident response, and debugging, • Improve our developer experience: CI/CD, testing workflows, environment management, and self-serve tooling, • Aid in production hardening: rollout strategies, safe migrations, incident playbooks, reliability testing, • Service orchestration primitives: queues, schedulers, retries, idempotency, cancellations, and long-running workflows, • Partner closely with backend, ML, robotics, and science teams to turn platform needs into clean abstractionsAbout you, • 5+ years of experience building backend systems in production environments., • Strong software engineering fundamentals (design, implementation, testing, reliability)., • Fluency in at least one backend language: e.g., Python, Go, Rust, TypeScript, etc., • Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation., • Comfort operating services in the real world: on-call, debugging, performance bottlenecks, failure modes., • Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI) and integrating security checks within them., • Ability to build clean abstractions that other engineers actually want to use., • Solid understanding of Linux/Unix systems administration., • Experience with monitoring, logging, and tracing tools (Datadog, Prometheus, Grafana, Splunk, ELK, etc.)., • Understanding of network security concepts (e.g., firewalls, VPNs, network segmentation, Tailscale)., • Strong ownership and bias toward action: you find the sharp edges and sand them down.Pluses, • Exposure to machine learning lifecycles or MLOps concepts., • Experience with distributed systems (queues, schedulers, event-driven architectures, consistency tradeoffs)., • Background in scientific computing, robotics, or automation-heavy environments., • Solid understanding of security principles, practices, and common security tools (e.g., vulnerability scanners, intrusion detection systems)., • Experience with security and compliance software (e.g., Drata, Apptega).What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Position: Data Engineer Location: NYCNY/Atlanta GA (In-Person Interview) Duration: 12 Months Need locals to NY or GA with local DL/State ID W2 Only - Face to Face Interview Skills and Responsibilities: Design, develop, and optimize ETL pipelines using technologies such as Snowflake, Hadoop, Kafka,and distributed data systems, including real-time streaming and high-volumedata processing. Work across the full SDLCrequirements, design, coding, testing, deploymentwithstrong expertise in SQL,database design, Linux-based development, and distributed computing principles. Build and maintain data frameworks, dashboards, and analyticspipelines to deliver actionable business insights while ensuring performance,scalability, and reliability. Develop solutions using Python,Docker, Kubernetes, Bash, PowerShell, SQL/NoSQL/vector databases, and cloudplatforms such as AWS, Azure, GCP, or OCI.

Job Description The Conference on Jewish Material Claims Against Germany (Claims Conference), a nonprofit organization with offices in New York, Israel, Germany and Austria, secures material compensation for Holocaust survivors around the world. Founded in 1951 by representatives of 23 major international Jewish organizations, the Claims Conference negotiates for and disburses funds to individual survivors and organizations and seeks the return of Jewish property stolen during the Holocaust. As a result of negotiations with the Claims Conference since 1952, the German government has paid more than $95 billion in indemnification to individuals for suffering and losses resulting from persecution by the Nazis. In 2025, the Claims Conference distributed approximately $530 million in compensation for survivors globally and $960 million for survivors’ welfare needs such as home care, medicine and food. We are seeking a motivated and technically skilled part-time Statistical Programming Assistant to support research, data analysis, and statistical programming on projects related to the study of Holocaust survivor demography and population research. This part-time role focuses on statistical computing in R, data validation, research data preparation, analysis and modeling activities while working closely with senior research staff on active research projects. The position is well-suited for students or early-career professionals with formal training in statistics, biostatistics, econometrics, demography or related quantitative field in the social sciences. The work involves careful construction and cleaning of real-world datasets, implementation of statistical models, and production of reproducible research outputs in collaboration with senior research staff. Note: This is a part-time remote/hybrid/on-site role, 15 hours per week. Responsibilities • Assist with data cleaning, restructuring, and validation;, • Write and maintain R code for data preparation and applied statistical modeling;, • Prepare datasets for modeling and analysis;, • Create reproducible analysis workflows (R scripts, documentation, organized outputs);, • Prepare summary tables, statistical outputs, and visualizations;, • Current or recent student in statistics, biostatistics, econometrics, demography, public health, quantitative social sciences, or related field;, • Proficiency in R for statistical computing (e.g., tidyverse, modeling functions, data manipulation);, • Coursework in regression analysis and statistical inference;, • Experience cleaning and preparing data for analysis;, • Strong analytical and problem-solving skills;, • Interest in Holocaust studies, Jewish studies, history, demography, or related research areas;, • Experience with statistical modeling;, • Comfort working with relational data and SQL queries;, • Experience working with longitudinal or administrative data;, • Applied statistical programming in a research setting, • Hands-on work with real, complex datasets, • Focused on inference, modeling, and careful data construction, • A machine learning engineering position, • A business intelligence/dashboarding role, • Resume/CV, • Brief statement of interest I acknowledge by proceeding with my application that if employed I will abide by the Claims Conference Statement of Values which can be found at this link. The Claims Conference is an equal opportunity employer and values diversity. We do not discriminate on the basis of any category protected by law, including (without limitation) race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job DescriptionResponsibilities • Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact., • Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed., • Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring., • Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields., • Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems., • Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork., • Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels., • Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.Requirements and Qualifications, • PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred., • 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain., • 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams., • Expert level knowledge in Python and SQL for model development and statistical analysis., • Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure)., • Strong foundation in data structures, algorithms, and optimization techniques., • Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools., • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences., • Previous experience working inside innovative, high-growth environments is a plus., • Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.Company DescriptionStaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture. Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.\r\n\r\n Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Job DescriptionCloud Engineer (AWS)Employment Type: Full-Time, Experienced Department: Information technology We are seeking a Cloud Engineer (AWS) who will be responsible for supporting the development of all required documentation necessary to support the engineering, security, and operational processes for a large federal agency. The ideal candidate will possess a strong grasp of cloud computing SaaS, PaaS, and IaaS fundamentals. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Design solutions that ensure maximum flexibility and scalability, while meeting all required security controls.- Support the development of all required documentation necessary to support the engineering, security, and operational processes. - Perform business and technical alternative analysis for any/all aspects of the solution, aiding the customer is making decisions along the way. - Facilitate the transition of the solution to operations, initially and ongoing ensuring at all times the system is operating within the anticipated operating boundaries. - Strong grasp of cloud computing SaaS, PaaS and IaaS fundamentals with experience designing and implementing solutions. Qualifications:- Bachelor's Degree in Computer Science, Engineering, or other Engineering or Technical discipline or equivalent relevant experience - At least four (4-7) years of professional IT experience performing duties in support of federal government agencies. - 4+ years design, implementation and/or support of highly distributed applications demonstrating strong architectural skills to ensure availability, reliability, etc. - Hands-on experience with AWS (Required) or other cloud services reinforced with architectural design experience - Experience designing and delivering large-scale solutions, most of which that have advanced to the production state. - Strong grasp of cloud computing SaaS, PaaS and IaaS fundamentals with experience designing and implementing solutions. Develop cloud base solution designs and implementation plans based on customer needs - Familiar with lift-and-shift migrations and migration methodologies for cloud migration- Experience in Cloud computing, Networking, Storage, and Identity Management AWS Certification or Cloud Architect Certification (or desire to obtain certification) Ideally, you will also have:- Hands-on experience with AWS (required) or other cloud services reinforced with architectural design experience designing and delivering large-scale solutions, most of which that have advanced to the production state. - Develop cloud base solution designs and implementation plans based on customer needs - Familiar with lift-and-shift migrations and migration methodologies for cloud migration - Experience in Cloud Compute, Networking, Storage, and Identity Management AWS Certification or Cloud Architect Certification (or desire to obtain certification) Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems.For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at this Role: We are seeking a highly experienced and strategic Principal Engineer to lead the architecture, development, and operations of Managed databases for AI-workloads. In this role, you will help shape the vision and direction on how customers and internal stakeholders store and access operational data for AI/ML workloads. Further, the role will define the strategy and lead vertical stack integration of data needs for AI inferencing and Agentic flows. You will have direct access to customers and work closely with engineering stakeholders across CoreWeave products. What You'll Do: • Define and drive CoreWeave's Managed databases technical roadmap and strategy., • Design and implement advanced database solutions applicable to AI workloads, while ensuring fault tolerance, high-scale and low-latency., • Build solutions that offer programmatic access to creating, scaling, and modifying databases., • Champion initiatives to improve reliability, durability, and self-healing capabilities of systems, and assume operational responsibilities., • Develop operational review practices to assess performance against targets and iterating on those targets., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.Who You Are:, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field., • 10+ years of experience in distributed systems, with a focus on reliability and scale. Hands-on technical leader., • Prior experience with managed databases as a SaaS offering., • Proven experience building products to address customer needs., • Prior experience of building AI features in production is a plus., • Proficiency in Golang or Python., • Strong understanding of cloud computing infrastructure using Kubernetes, scalable architectures, and automation., • Excellent analytical and problem-solving skills, with the ability to synthesize problem statements from interactions with customers and design solutions given ambiguous requirements., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $227,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description The position is responsible for assisting in the architecture, design and administration of various physical and private/public cloud-based infrastructure, support and management of multiple operating systems and associated server hardware and cloud. This position ensures installation, upgrade, change control, real-time monitoring, accuracy, coordination, troubleshooting, problem resolution, capacity planning, backup and recovery, and disaster recovery (DR) architecture, design and planning for systems supported. Experience with industry leading scripting/automation toolsets and product suites. 24x7 availability in an OnCall rotation is required. This position requires comprehensive knowledge within a functional area. Work is performed under general direction and is reviewed upon completion for adequacy in meeting objectives and to ensure compliance with processes, standards and policies of the organization. Provides technical solutions to a wide range of difficult and complex problems. Solutions are imaginative, thorough, practical, and consistent with the objective of the organization. May train and mentor less experienced professionals. Essential Duties & Responsibilities: Serve as a primary resource for the design, administration and monitoring of our physical and cloud-based Infrastructure systems and technologies. Maintain understanding of future direction of technologies and products for application or IT systems supported. Analyze, administer, modify, configure and lead patch management for multiple, complex, and/or advanced operating systems. Design, implement and provide real time support and updates for servers and datacenters. Plan or support all phases of moderately complex projects. Implement consistent project management processes and standards for area of specialization. Provide project cost estimates for consideration in functional budget. Provide input to planning groups on the impact of prospective upgrades and work effort required. Perform impact analysis of new or expanding systems and coordinate with personnel to determine upgrades necessary to meet service level requirements. Ensure a high degree of accuracy, coordination and administration of respective data centers, systems and applications. Assist in coordination, and monitoring of systems and system software for problems or needed modifications. Install and upgrade application & infrastructure systems (i.e. operating systems, storage systems, Data Center hardware) independently. Maintain systems including installation of patches, performance monitoring, capacity planning, and tuning. Establish, test, and implement procedures for application or data backup and recovery. Develop, test, implement, and maintain disaster recovery infrastructure, plans and procedures. Provide direction to less experience administrators or technicians on department processes and complex technical issues. Provide 24x7 coverage via an OnCall rotation Minimum Education & Experience: Bachelors Degree in Information Systems, Information Technology, Engineering, and/or related discipline. In lieu of a degree an additional three (3) years' directly related experience will be considered. Minimum of five (5) years' of directly related experience. Preferred Qualifications: Experience planning and executing migration of on-premises to cloud based server environments Azure certifications AWS certification Microsoft certifications Project management Knowledge, Skills, and Abilities: Comprehensive knowledge of Microsoft Server technologies 2016, 2019, 2022 including installation, support and management Comprehensive knowledge of Linux server environments and OS installation & management. Comprehensive knowledge of most aspects of IT design & administration for on-prem, private cloud and public cloud solutions. Comprehensive experience with multiple toolsets and technologies: Microsoft Active Directory, Microsoft Exchange, Microsoft Office 365, Windows Severs, Linux Servers, AWS SysOps, VMware vSphere (ESXi)/NSX, Dell Hardware, Rubrik, Solarwinds monitoring, Azure, AWS, other Cloud based computing. Comprehensive knowledge of fundamental networking/distributed computing environment concepts, such as TCP/IP, DNS and DHCP. Comprehensive knowledge of DevOps toolsets, such as GitHub, Terraform and Ansible. Strong analytical skills and experience; ability to recognize, analyze and solve complex problems. Ability to coordinate the work of third-parties to ensure effective and timely solutions for integration projects and day-to-day troubleshooting. Ability to apply principles of logical thinking to define problems, collect data, establish facts and draw conclusions. Ability to distill data and analysis into high-level reports and summaries. Ability to discern data inaccuracies through technical experience and knowledge. Ability to develop system solutions for operational problems. Ability to write technical instructions in the use of programs and/or program modifications. Ability to plan, implement, test, and troubleshoot system software. Strong collaboration skills to partner effectively across various levels of the organization. Strong oral and written communication skills with the ability to communicate at all levels of the organization. Ability to communicate technical guidance and instruction to users on the use of systems and/or applications. Strong organization and process improvement skills. Ability to effectively handle pressures and demands of deadlines and competing priorities. Ability to handle confidential information and material with the highest degree of professional responsibility. Ability to interact with internal business partners at a senior and management level to clarify requirements and business needs for changes and enhancements. Ability to prioritize tasks to meet business needs, including prioritizing the work of others on the team, when needed. Ability to learn and utilize a working knowledge of broad business environment, energy industry, and corporate operations. Ability to interact in a team environment. Proficient use of Microsoft Office Suite Working Conditions: Ability to produce quality work and meet deadlines in fast paced environment Ability to work non-standard work hours as needed or required to meet established deadlines Ability to work indoors, in an office environment, regardless of whether cubicle, open office or private office Subject to normal office noise levels

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on securing Kubernetes workloads within cloud infrastructure environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Security product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on securing Kubernetes workloads, • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking, • Deep understanding of administrating Kubernetes clusters including controls such as RBAC, admission controllers, container security, etc., • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to securing Kubernetes environments, • Experience with building solutions across multi-cloud environments, • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionRole: Practice Lead & Physical Security Architect Duration: 90 day remote contract Location: Remote work from home with 20% travel Role OverviewArganteal is seeking a Physical Security Architect & Practice Lead for a 90 day contract to serve as a trusted strategic advisor and technical authority embedded with a premier global financial services client with a significant consumer banking footprint. This individual will function as the client’s principal technical partner—a right-hand resource to their physical security leadership—providing end-to-end architectural guidance across branch security technologies, surveillance infrastructure, and the underlying physical-layer networks that support them. The ideal candidate brings deep, hands-on expertise in enterprise-grade physical security systems deployed at scale across a geographically dispersed branch banking environment. This is a high-visibility, high-trust engagement requiring a practitioner who can operate with autonomy, navigate complex stakeholder landscapes, and drive both tactical execution and long-range technology roadmap development. Key ResponsibilitiesStrategic Advisory & Practice Leadership • Serve as the primary physical security architecture advisor to the client’s security leadership, functioning as a day-to-day strategic and technical partner across all branch security technology initiatives., • Develop and maintain a comprehensive physical security technology roadmap aligned with the client’s enterprise security strategy, regulatory obligations, and branch expansion or consolidation plans., • Lead practice-level activities including standards development, reference architecture creation, technology evaluation, and vendor assessment for physical security platforms and components., • Provide executive-level briefings, technical recommendations, and decision-support documentation to senior client stakeholders, including CISO and corporate security leadership.Branch Security Technology Architecture, • Architect, design, and provide technical oversight for branch surveillance systems including IP and analog camera systems, Digital Video Recorders (DVR), and Mobile Video Recorders (MVR)., • Define standards for camera placement, coverage mapping, resolution requirements, retention policies, and recording schedules across diverse branch typologies (full-service, drive-through, in-store, and standalone)., • Evaluate, recommend, and architect Video Management System (VMS) platforms, ensuring interoperability with existing enterprise security operations center (SOC) workflows and incident management processes., • Provide technical direction on emerging branch security technologies including video analytics, AI-driven threat detection, access control integration, and cloud-based surveillance platforms.Layer 1 Physical Network Infrastructure, • Provide expert-level guidance on Layer 1 wiring infrastructure supporting physical security networks, including specification, design, and modification of coaxial cable runs (RG-59, RG-6, and Siamese configurations)., • Define and enforce standards for proper electrical grounding and bonding of physical security systems in compliance with NEC, TIA/EIA, and client-specific requirements., • Spec, review, and approve cable pathway designs, termination standards, and signal integrity requirements for both new branch buildouts and retrofit/upgrade projects., • Collaborate with low-voltage contractors, general contractors, and client facilities teams to ensure Layer 1 installations meet architectural specifications and pass quality assurance inspections., • Troubleshoot and resolve signal degradation, grounding faults, and cable plant issues impacting surveillance system performance., • Provide supplemental Layer 2/Layer 3 network support for physical security systems as needed, including familiarity with VLANs, Power over Ethernet (PoE), and TCP/IP fundamentals as they relate to IP-based surveillance infrastructure.Team Leadership & Talent Development, • Manage, develop, and mentor a team of field service technicians, engineers, and supervisors supporting physical security operations across the client’s branch environment., • Conduct performance reviews, establish individual development plans, and deliver ongoing training programs to ensure technical staff maintain required certifications and competencies., • Lead recruiting, hiring, and onboarding efforts for technical staff as the practice scales to meet evolving client demand., • Foster a culture of accountability, continuous improvement, and technical excellence within the physical security practice.Operational Support, • May periodically oversee day-to-day operational activities including troubleshooting, maintenance coordination, and repair workflows for physical security systems as business needs require., • May support dispatching and scheduling of service technicians from time to time, particularly during peak deployment periods, system upgrades, or incident response scenarios., • Ensure compliance with company safety standards and established service procedures when engaged in operational oversight activities.Client Escalation & Relationship Management, • Serve as the primary escalation point for physical security–related service issues, ensuring timely resolution and clear communication with client stakeholders., • Monitor and ensure adherence to service level agreements (SLAs) specific to physical security system uptime, maintenance response, and incident resolution., • Maintain strong, trust-based relationships with key client contacts across corporate security, facilities, and branch operations leadership.Engagement Delivery & Collaboration, • Coordinate with internal teams including account leadership, project management, engineering, and supply chain to ensure seamless delivery of physical security solutions., • Produce and maintain detailed technical documentation including as-built diagrams, system architecture drawings, bill of materials, and standards guides., • Participate in site surveys, branch assessments, and periodic on-site reviews as part of the travel expectation (up to 20%). QualificationsRequired, • Minimum of 10 years of progressive experience in physical security technology architecture, design, and implementation within large-scale enterprise environments., • Demonstrated experience with enterprise surveillance systems including IP and analog cameras, DVR, NVR, and MVR technologies., • Hands-on expertise with Layer 1 wiring for physical security networks, including coaxial cable specification (RG-59, RG-6, Siamese), termination, testing, and modification of cable runs., • Strong working knowledge of proper electrical grounding and bonding practices for security infrastructure per NEC and TIA/EIA standards., • Experience with Video Management System (VMS) and integrated security platforms such as Genetec, Milestone, Avigilon, Honeywell, LenelS2, or Bosch., • Hands-on experience with access control systems, intrusion detection systems, and alarm monitoring platforms within enterprise environments., • Demonstrated ability to serve as a trusted advisor to senior client stakeholders in a consulting or staff augmentation capacity., • Bachelor’s degree in business, electronics, engineering, or a related field, or equivalent professional experience., • Must be a United States citizen currently residing on U.S. soil., • Ability to travel up to 20% domestically.Preferred, • Experience in the financial services or consumer banking industry, with specific knowledge of branch security requirements, regulatory considerations, and compliance frameworks (e.g., FFIEC, OCC guidance)., • Professional certifications such as PSP (Physical Security Professional), CPP (Certified Protection Professional), BICSI RCDD, or equivalent industry credentials., • Experience with structured cabling design and low-voltage systems beyond coaxial, including Cat6/6A for IP-based surveillance convergence., • Prior practice leadership or team lead experience in a professional services, consulting, or managed services context., • Knowledge of cloud-based and hybrid surveillance architectures, edge computing for video analytics, and bandwidth optimization strategies for distributed branch environments. Work Environment & Requirements, • This position is fully remote, open to candidates located anywhere within the United States., • Candidate must be a U.S. citizen physically located on U.S. soil at all times during employment., • Travel of up to 20% is expected, primarily for client site visits, branch assessments, and periodic in-person stakeholder engagements. TqjHdtEVSw

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About Us: CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting-edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient, and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do: As a Production Engineer in Security at CoreWeave, you'll ensure the reliability, scalability, and performance of our security systems and cloud platform. You'll develop and maintain systems that support our rapidly growing infrastructure, automate operational tasks, and continuously improve the security and resiliency of our services. • Design, implement, and maintain scalable and highly available security related infrastructure using Kubernetes and cloud-native technologies, • Develop automation and monitoring solutions to proactively identify and mitigate reliability risks, • Collaborate with engineering teams to optimize system performance, reduce latency, and improve service uptime, • Participate in incident management, conduct root cause analysis, and implement solutions to prevent recurrence Who You Are Minimum Qualifications • 5+ years of experience in site reliability engineering, DevOps, security engineering, security operations or related roles, • Strong proficiency with Kubernetes, container orchestration, and cloud-native technologies, • Experience managing and operating Teleport for infrastructure access control., • Expertise in automation and scripting languages such as Python, Bash, or Go, • Familiarity with observability platforms (e.g., Prometheus, Grafana, Datadog). The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout Clockwork Systems Clockwork.io – Software Driven Fabrics to increase GPU cluster utilization Clockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining the foundations of distributed computing. As AI workloads grow increasingly complex, traditional infrastructure struggles to meet the demands of performance, reliability, and precise coordination. Clockwork is pioneering a software-driven approach to AI fabrics by delivering cross-stack observability to catch and quickly resolve problems, workload fault tolerance to keep jobs running through failures, and performance acceleration that dynamically routes and paces traffic to avoid congestion. To learn more, visit . Summary We are seeking a high-performing, technically adept Enterprise Account Executive based in New York to drive revenue and strategic customer adoption across the East Coast. This is a unique opportunity to join an early-stage, high-growth company building foundational infrastructure for AI/ML systems. The ideal candidate has experience selling complex infrastructure or platform technologies into large enterprises, thrives in highly technical sales environments, and is excited to help shape Clockwork's enterprise go-to-market strategy alongside founders and product leadership. What You Will Do • Own and manage the full enterprise sales cycle across East Coast accounts, from prospecting through close, • Build and execute strategic account plans targeting large enterprises, AI-first organizations, and cloud-scale infrastructure teams, • Engage deeply with technical buyers (engineering, platform, infrastructure, and data teams) as well as senior business stakeholders, • Lead complex sales processes involving multiple stakeholders, long deal cycles, and high-value contracts, • Partner closely with Sales Engineering, Product, Marketing, and Founders to refine messaging, positioning, and customer feedback loops, • Navigate sophisticated technical discussions around deterministic time, synchronization accuracy, AI workload reliability, and distributed system performance, • Proven experience selling infrastructure, platform, or deep technical solutions to large enterprise customers, • Strong understanding of modern cloud-native and distributed architectures (e.g., public cloud, Kubernetes, observability, data infrastructure), • Familiarity with AI/ML infrastructure, high-performance computing, or networking technologies is a strong plus, • Experience selling to engineering-led organizations and working closely with technical teams, • Consistent track record of meeting or exceeding quota in competitive enterprise sales environments, • Ability to articulate complex technical value to both technical and executive-level audiences, • Comfortable operating in an early-stage startup environment with ambiguity and high ownership, • Experience selling infrastructure solutions (storage, networking, compute) and familiarity with the GPU cloud landscape, including hyperscalers and NeoClouds. Background in infrastructure-driven, AI-focused environments is strongly desired., • Challenging, high-impact projects at the forefront of AI infrastructure, • A collaborative, inclusive, and founder-led culture, • Competitive compensation and equity Clockwork Systems is an equal opportunity employer. We are committed to building world-class teams by welcoming bright, passionate individuals from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status. We believe diversity drives innovation, and we grow stronger together.