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Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. Five9 is one of the world's leading cloud contact center platforms. Our AI-powered Automated Quality Management (AQM) product is transforming how enterprises measure, evaluate, and improve agent and interaction quality at scale. As we build out our dedicated AQM Prompt Engineering capability within Specialized Services, we are hiring a Senior WEM AQM Prompt Engineer to lead and shape this practice. This senior role goes beyond hands-on prompt design. You will be the technical authority for Five9 AQM prompt engineering - setting standards, building reusable assets, mentoring the Prompt Engineer team, and acting as the go-to expert for complex customer escalations and pre-sales engagements. If you have spent a significant portion of your career building sophisticated Speech Analytics programs in Verint, NICE, or Genesys - and you have developed serious prompt engineering skills alongside that domain expertise - this role was designed for you. Why Your Speech Analytics Background is the Foundation for This Role Building effective AQM prompts follows the same disciplined, iterative methodology that defines expert-level Speech Analytics category design: Speech Analytics / Verint AQMFive9 AQM Prompt EngineeringDefine category intent & scopeDefine prompt intent & evaluation scopeSelect & tag representative call samplesSelect evaluation call samplesIteratively tune keyword / phrase setsIteratively refine prompt wording & logicTest against live call trafficTest prompt outputs against real callsValidate recall & precision metricsValidate pass / fail accuracy metricsDocument & hand off to QA teamDocument prompts for QA workflow At the senior level, this role adds a leadership and practice-building dimension: you will set the standards the rest of the Prompt Engineering team follows and serve as the technical authority across the most complex customer engagements. Key Responsibilities - Practice Leadership • Serve as the technical lead and subject matter authority for Five9 AQM Prompt Engineering within Specialized Services. • Define and own the prompt engineering methodology, standards, quality gates, and best practice documentation for the team. • Build and maintain a curated, reusable prompt library of validated evaluation templates spanning key verticals and QM use cases. • Mentor and technically guide the WEM AQM Prompt Engineer team (x3), conducting prompt reviews and providing structured feedback. • Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key Responsibilities - Customer Delivery • Lead prompt engineering on the most complex and high-value AQM customer engagements, from initial scoping through production deployment. • Act as the senior escalation point for prompt performance issues, failure analysis, and remediation on live customer deployments. • Partner with customers at senior stakeholder level to translate QM strategy and compliance requirements into precise, measurable AQM evaluation criteria. • Design and execute prompt validation frameworks - including representative call sampling, precision/recall analysis, and A/B prompt testing - to ensure accuracy before production release. Key Responsibilities - Product & Pre-Sales Collaboration • Serve as the Prompt Engineering SME in pre-sales engagements, demonstrating Five9 AQM capabilities and advising prospective customers on prompt-driven evaluation design. • Provide structured product feedback to the Five9 AQM product team based on field experience, identifying gaps, limitations, and enhancement opportunities. • Develop and deliver internal training and enablement for consultants and implementation staff on AQM prompt engineering techniques. • Represent the Prompt Engineering practice in cross-functional forums and contribute to go-to-market materials, customer case studies, and thought leadership content. Key Requirements • Minimum 5 years' hands-on experience as a Speech Analytics Lead, Senior QM Analyst, or WEM Consultant with deep expertise in category/topic design, program governance, and optimization in Verint (Categories/Category Sets), NICE CXne (Category Sets), Genesys (Topics), or equivalent - at a seniority level sufficient to have owned or led an analytics program. • Formal prompt engineering qualification or a verifiable, substantive portfolio of production-grade prompt design work, including evidence of iterative refinement, performance measurement, and documentation. • Demonstrable understanding of LLM behavior - including how prompt structure, instruction framing, persona assignment, chain-of-thought, and few-shot examples affect model outputs. • Strong background in Quality Management design: experience building evaluation frameworks, scorecard design, calibration processes, and QM governance. • Experience leading or mentoring technical team members in a delivery or consulting environment. • Proven track record of translating complex business requirements into structured, testable, and scalable technical solutions. • Excellent written and verbal communication skills; comfortable presenting to senior client stakeholders and internal leadership. • BA/BS or equivalent experience; advanced degree in a relevant discipline is advantageous. Preferred Qualifications • Formal prompt engineering certification: DeepLearning.AI Prompt Engineering for Developers, Anthropic Prompt Engineering, OpenAI Prompt Engineering, DAIR.AI Prompt Engineering Guide, or equivalent industry-recognized program. • Direct experience with one or more leading LLM platforms at an advanced level (OpenAI GPT-4+, Anthropic Claude, Google Gemini, Meta Llama, or similar), including API usage, system prompt design, and evaluation harness development. • Prior hands-on experience with Five9 AQM or another AI-native QM solution (e.g., NICE Enlighten QM, Genesys Cloud AI Quality, Medallia, Qualtrics). • Experience contributing to or owning a Speech Analytics or QM center of excellence - including methodology documentation, internal training, and cross-client best practice standardization. • Familiarity with prompt evaluation frameworks (e.g., LLM-as-judge, human-in-the-loop evaluation pipelines, or equivalent). • Exposure to NLP concepts - tokenization, embeddings, semantic similarity - sufficient to reason about why a prompt succeeds or fails. • Experience with JSON, Python scripting, or no-code automation tools as applied to prompt testing and workflow automation. • Background in contact center compliance-driven QM (financial services, healthcare, utilities) where regulatory accuracy requirements add additional complexity to evaluation design. Key Competencies • Technical Authority - recognized internally and externally as the go-to expert on LLM prompt design for contact Centre quality evaluation. • Analytical Rigor - applies statistical thinking and structured measurement to validate and continuously improve prompt performance. • Linguistic Mastery - exceptional command of written instruction; understands how nuance, framing, and ambiguity in prompt language directly influence AI outputs. • Leadership & Coaching - ability to elevate the capability of others through structured mentoring, peer review, and knowledge transfer. • Strategic Customer Engagement - trusted advisor to senior client stakeholders on the use of AI in quality management. • Innovation Orientation - proactively monitors the LLM landscape and identifies opportunities to improve Five9 AQM prompt design practices. • Operational Excellence - drives the team toward repeatable, scalable processes without sacrificing quality or creativity. About Five9 WEM Specialized Services The Specialized Services team within Five9 Professional Services delivers expert-led implementation, optimization, and advisory engagements across the Five9 WEM portfolio. Our AQM Prompt Engineering practice is a newly established Centre of excellence, designed to ensure that customers realize the full potential of Five9's AI-powered quality management capabilities. As the founding senior hire into this practice, the Senior WEM AQM Prompt Engineer will have a rare opportunity to define how prompt engineering is done at Five9 - and to build something genuinely new. Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally . click apply for full job details

Job Description Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! We are looking for a Senior Engineer, Performance Architecture. This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware-software co-design. Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do Model the architecture, performance, and power characteristics of Memory Centric Computing platforms Develop and optimize models to explore a large design space. Analyze various trade-offs within a design space, considering different architectural choices and workloads. Collaborate with architecture, design and software engineers to ensure that the PPA of modeled systems meet the requirements of our users Conduct research and development in emerging technologies and trends in AI/ML workloads and Memory Centric Computing architectures Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget What You Bring BS in Computer/Electrical Engineering or Computer Science with 5+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working experience or PhD and 0+ years of relevant working experience preferred. Strong background in computer architecture Experiences in developing and optimizing models for high-performance computing systems Strong analytical and problem-solving skills Excellent communication and interpersonal skills Ability to work independently and as part of a team You're inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You're collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change. What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way-including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $138,000-$206,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy - us/careers/us/privacy/

Job Description Job Description Looking for a Senior Forward Deployed AI Engineer to lead the deployment and customization of AI-powered solutions for real-world customer environments. This role sits at the intersection of engineering, product, and customer success - working directly with users to understand complex workflows and translate them into practical, high-impact AI solutions. You'll operate in a fast-paced, high-ownership environment, rapidly prototyping, iterating, and deploying systems that deliver immediate value. This role requires strong technical depth, a problem-solving mindset, and the ability to navigate ambiguity while staying focused on outcomes. What you'll do: Partner closely with customers to understand workflows and identify opportunities to apply AI/ML solutions Design, customize, and deploy AI-driven systems tailored to specific customer needs Rapidly prototype and iterate on solutions based on real-time feedback Break down complex problems into actionable steps and deliver results in ambiguous environments Integrate a wide range of AI/ML technologies to solve diverse, real-world challenges Provide hands-on technical support to ensure successful implementation and adoption Collaborate with internal engineering teams to inform product development and improvements Stay current with advancements in AI/ML and apply them to practical use cases Mentor other engineers and contribute to a strong, collaborative engineering culture Influence product direction by bringing insights from customer engagements and emerging technologies What we're looking for: 4+ years of experience in software engineering, data engineering, or machine learning Strong coding ability with a focus on building and shipping real-world systems Experience with or strong interest in Large Language Models (LLMs) and prompt engineering Ability to quickly learn new technologies and adapt in fast-changing environments Strong bias toward delivering business value over purely theoretical work Comfort operating across a wide range of technical problems rather than specializing narrowly Proven ability to break down complex systems and execute effectively High resilience, resourcefulness, and ownership mindset Strong communication skills and ability to work directly with customers Interest in applying technology to real-world domains and making meaningful impact Nice to have: Experience or interest in healthcare or regulated environments Proficiency in Python Experience with machine learning and neural networks

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow us on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Senior Software Engineer - Lifecycle Management will work collaboratively with a team to support medical device products from the transfer to production through product end of life. The Engineer will have a technical leadership role for supporting components and subassemblies of the body contouring products and will closely interact with a multi-disciplined Engineering team consisting of electrical, software and mechanical groups. The individual works within cross-functional teams and provides software requirements, design and implementation for current generation software and systems projects. He or she develops a thorough understanding of design requirements to ensure that the system's objectives are properly defined and ultimately achieved. This role is focused on continuous improvement of existing products. This individual must have strong technical skills complemented by great communications and teamwork qualities. Experience in a software development background in a structured/regulated environment such as medical device development is required. Responsibilities Lead and manage small scale projects for on time deliverable. Contribute to requirements definition at the functional level and work with cross functional groups. Perform in-depth data analysis and drive improvements to software or product quality. Design, develop, and support embedded, Windows embedded and desktop applications. Participate in software work product reviews/inspections. Interface, integrate, troubleshoot and debug software and hardware components. Generate required product development documentation including functional specifications and design documents. Execute manual or automated tests for verification and validation of software applications. Design, code and validate software tools for use in the verification and manufacturing of the product. Work with Software Verification, Product Support and Manufacturing to resolve software issues. Drive improvements to process quality. Responsible for performing all duties in compliance with FDA's Quality System Regulation (QSR), ISO13485, the Canadian Medical Device Regulations, and all other international regulatory requirements with which AbbVie complies. Qualifications BS in Software Engineering or equivalent degree and/or experience. Advanced degree desirable. Minimum of 8+ years experience in engineering design and at least 5 years of experience with embedded Windows programming with C# and . NET. At least 3 years of experience in medical devices or similarly controlled software environment preferred. Experience in developing event driven, multi-threaded Windows-based applications using .NET Framework and C# preferred. Required experience in structured software and systems development and integration, including experience in software design methodologies, design patterns, component-oriented software architecture to produce high-quality software applications. Experience with common protocols: RS232, SPI, USB a plus. Knowledge of PID control algorithm. Knowledge of software life cycle processes used in regulated development environments such as IEC 62304. Result-oriented, self-motivated and able to participate as both a team member and an individual contributor. Proficiency in MS Office, including Word and Excel. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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 AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 ; 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- 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).

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking a Senior Staff AI Engineer with a combination of architectural expertise and production rigor to lead the development of an Agentic Framework to support our AI applications. In this role, you will be the technical anchor for our AI offerings, working to deliver a production-grade Agentic Operating Layer for software-defined vehicles. This is a 50% Architecture / 50% Implementation position. You will be responsible for designing and implementing an extensible architecture that bridges high-velocity vehicle telemetry with sophisticated AI reasoning. We need a leader who is collaborative by nature but decisive in execution-someone who can drive architectural consensus and take full accountability for the performance, safety, and scalability of the resulting system. Responsibilities: Lead the architecture and design of an extensible AI platform. Drive architectural consensus across teams on AI-core decisions to ensure platform unification. Lead the development of agentic orchestration by designing and implementing mission-critical components that allow AI agents to decompose complex goals into actionable sub-tasks. Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth). Strong domain expertise in the AI area, including LLM, RAG, fine-tune large models, traditional ML models, etc. (AI depth) Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art) Perform data analysis and offer insights to inform business decisions across multiple domains. Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information. Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations. Take charge of projects, ensuring timely completion in a dynamic work environment. Qualifications: Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required. 10+ years of software engineering experience with 4+ years dedicated to shipping production-scale AI/Agentic systems. You have a track record of moving projects from whiteboards to global cloud deployments. Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Expert-level experience with stateful orchestration frameworks (e.g., LangGraph, AutoGen, or similar). You understand the nuances of managing state across complex, multi-step AI missions. Strong experience grounding AI in structured/unstructured Big Data environments. Practical knowledge of traditional databases, streaming analytics, and Vector databases. Proven experience building multi-agent systems and frameworks with adaptive orchestration Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms. Solid experience in data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong knowledge of software development best practices, version control systems, and agile methodologies. Results-driven with a positive can-do attitude and excellent problem-solving skills. Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Experience in the automotive industry is highly desirable. Experience building multi-tenant "Platform-as-a-Service" (PaaS) models is desirable. Benefits Offered: Competitive compensation and equity program Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 15 paid holidays Hybrid office work arrangement/flexibility Perk Offerings include: Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowances (towards gym membership and fitness programs) Internet reimbursement Computer Accessory Allowance Employee Engagement Offerings: Departmental team building and outings Employee Referral Program Culture/Employee Satisfaction Surveys - Feedback matters! The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,500-$300,000 USD

Job Description Job Description RETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines , we're innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent automation, and data is the answer to delivering quality and flexibility at scale. We deliver products to meet the demands of today while continuously investing in our Bright Factory model to take advantage of what comes next. Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to a brighter way of manufacturing AI infrastructure, we'd love to speak with you. ABOUT THE ROLE As a senior Robot Perception Engineer on the Smart Robotics team at Bright Machines, you will be a hands-on senior contributor responsible for productizing visual inspection solutions for our automation platform. You will own the full pipeline-from algorithm development to production deployment-turning prototype inspection capabilities into reliable, high-throughput features that operate at scale across our automation lines. In this role, you will develop and optimize computer vision and deep learning models for defect detection, classification, and visual validation. You will collaborate closely with cross-functional teams, including Mechanical Engineering and Manufacturing Operations, to design end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions. Additionally, you will have the opportunity to shape the inspection product roadmap and drive the adoption of cutting-edge machine learning techniques in an industrial setting. WHAT YOU WILL BE DOING Develop and optimize visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation using deep learning Optimize model inference for GPU deployment, leveraging CUDA, TensorRT, and related acceleration frameworks Collaborate with Mechanical engineers to design illumination setups that maximize inspection accuracy and robustness Build and maintain data pipelines for model training, evaluation, and continuous improvement Partner with platform team to establish MLOps practices for model versioning, experiment tracking, automated retraining, and production model monitoring Harden inspection solutions for production reliability, including monitoring, alerting, and graceful degradation Work with service engineering and field teams to deploy inspection solutions and support customer rollouts Define metrics and benchmarks to measure inspection accuracy, throughput, and reliability WHAT YOU WILL BRING MS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability. 5+ years of relevant experience in computer vision and/or machine learning Strong programming skills in Python Deep experience with PyTorch for model development and training Experience optimizing ML models for GPU inference in production environments Track record of shipping ML/CV models from prototype to production Experience with image acquisition, camera systems, and sensor integration IT WOULD BE GREAT IF YOU HAD Knowledge of lighting and optics for machine vision (diffuse/directional illumination, lens and filters) Experience with industrial camera systems and standards (GigE Vision, GenICam, CoaXPress) C/C++ experience for performance-critical components Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) Experience with data annotation, labeling workflows, and active learning strategies Experience with ROS2 Understanding of manufacturing processes and quality control methodologies Publications or patents in computer vision, deep learning, or related fields BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure production. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers, neoclouds, and leading Original Equipment Manufacturers (OEMs) to reduce their time to revenue. With its Bright Factory model, Bright Machines builds higher quality data center infrastructure at scale, addresses increasing market demands for computing power due to the surge of AI, and answers the call to the U.S. national mandate to reshore manufacturing. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded "Best AI-based Solution for Manufacturing" by AI Breakthrough, named a "Technology Pioneer" by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.

Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are seeking a highly skilled, hands-on Senior level performance engineer who thrives on deep technical challenges. The ideal candidate possesses a mastery of Linux kernel systems and low-level optimization, with a collaborative mindset to drive cross-functional projects. This is a full-time position where you will roll up your sleeves to perform direct performance benchmarking and system tuning, making a tangible impact on Crusoe's global compute operations. What You'll Be Working On: System Performance Benchmarking : Design and execute rigorous benchmarks to analyze system behavior, identifying bottlenecks and opportunities for performance enhancement. Kernel Optimization : Develop and implement low-level optimizations within the Linux kernel to maximize efficiency and system throughput. Hands-on Development : Write and maintain high-performance code using Go, C, C++, or Rust to drive infrastructure improvements. Data Plane Tuning : Focus on data plane performance, ensuring our cloud architecture meets the high-speed requirements of modern AI workloads. Cross-Functional Collaboration : Partner closely with Software Infrastructure, Product, and other engineering teams to align performance initiatives with broader organizational goals. Technical Problem-Solving : Actively troubleshoot complex system issues, applying an analytical approach to ensure reliability and scalability. Strategic Knowledge Sharing : Contribute to team documentation and best practices, fostering a culture of technical excellence and continuous improvement. What You'll Bring to the Team: Linux Kernel Mastery : Deep expertise in Linux system internals and kernel-level programming is essential for this role. Programming Proficiency : Expert-level skills in Go, C, and C++ (Rust is also a strong asset). Systems Performance Mindset : A proven track record of hands-on performance tuning, benchmarking, and optimization in complex environments. Educational Foundation : A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience. Collaborative Spirit : Ability to work effectively within cross-functional teams, communicating complex technical concepts clearly to stakeholders. AI Ecosystem Familiarity : Experience or exposure to the Artificial Intelligence/Cloud ecosystem and standard industry tooling. Bonus Points: Hands-on experience with Rust development. Prior experience working in high-scale cloud or infrastructure engineering environments Deep familiarity with performance-critical infrastructure components beyond the kernel layer. Experience with specific low-level performance analysis and tracing tools. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $ 170,000 - $205,000. + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Job Description Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. In this role, you will: Develop, coordinate, and execute verification and validation test plans for Pose monitors using Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) environments. Analyze and triage pipeline results that contribute to key launch-blocking metrics for software and system releases. Collaborate with cross-functional teams, including software developers, hardware engineers, systems engineers, simulation developers, and safety experts, to identify and mitigate risks. Track and report test campaign results to demonstrate feature readiness during safety clearance for each Zoox milestone. Develop metrics and performance benchmarks for V&V campaigns, driving continuous improvement of test coverage and efficiency. Contribute to the development of risk analysis models to quantify behavioral risk when testing gaps exist. Qualifications MS or higher degree in a technical field, such as Mechatronics, Mechanical, Electrical, Aerospace, or Systems Engineering. 5+ years of hands-on systems integration and validation experience (simulation testing, SIL/HIL testing, structured testing, and end-to-end product validation) with a focus on delivering complex systems to production. Proficiency in Python for data analysis, test scripting, and automation. Experience with requirements and test traceability tools such as Polarion, Jama, DOORS, or TestRails. Strong systems-level thinking and the ability to understand and navigate complex technical systems. Basic proficiency with probability and statistics. Ability to grapple with ambiguity and collaborate with cross-functional teams. Bonus Qualifications Experience with autonomous vehicles, robotics, or other safety-critical systems. Experience with simulation environments and hardware-in-the-loop (HIL) testing for pose estimation or perception systems. Experience with fault protection system design and validation. Familiarity with industry safety standards such as ISO 26262, ISO 21448 (SOTIF), ARP 4754, or ARP 4761. Experience with Linux systems and containerized testing environments. Proficiency with SQL for test data analysis. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Description Job Description About This Role Twenty80 is partnering with a fast-moving technology company to find an AI Engineer to build and ship LLM-powered applications. Our client is looking for someone to own new AI workflows from prototype to production. Expect to ship fast, talk directly to customers, and build systems that solve real problems for users. This is a full-time onsite position. You will work five days a week from our client's office in San Francisco, collaborating in person with PMs, designers, and the GTM team to ship fast and stay close to the work. This is a deeply technical role that blends ML, product thinking, and engineering. You will build and own production services that rely on LLMs and speech models. What you'll do Develop and own end-to-end AI applications across a range of workflows, from copilots to automation tooling and beyond. Improve our client's LLM-powered platform, used daily by thousands of users. Build and optimize inference pipelines and real-time speech recognition systems. Collaborate closely with PMs, designers, and GTM teams to iterate rapidly and launch high-impact features. Suggested Experience Our client is looking for exceptional, top-tier talent. 3+ years building production AI systems, ideally in fast-moving environments or as a founder. Extensive experience with LLM inference (OpenAI, Anthropic, Llama, etc.). Strong product sense. Comfortable working across the stack (frontend, backend, etc.) to get features shipped. Obsessed with speed, ownership, and getting real user feedback. This is a remote position, although Bay Area residents are encouraged to work from the client's SF office. Nice to Haves Experience with ASR systems (e.g. Whisper). Seniority 2 to 6 years of experience as a software engineer, with AI and LLM-focused product work. Work experience Must have built complex AI applications end-to-end (LLM inference work, agent products, etc.). Experience in a fast-moving startup or as a founder. Education CS undergraduate degree from a four-year university. Hard skills Able to work across the stack (frontend, backend, infra) to problem solve and ship features. Applied-AI literacy. Can reason about evals, statistics, and the non-determinism of LLM systems. Familiarity with SOC-2 or sensitive data pipelines. Soft skills Obsessed with speed, ownership, and getting real user feedback. Traits to avoid Lack of progression in role after 2 to 3 years. About Twenty80 Twenty80 is an executive and specialty search firm representing this client on the search. All candidate conversations run through us.

Job Description Job Description Job Description Senior Engineer, Internal Tools, Artificial Intelligence (AI) Required, Work From Home The Senior AI Engineer is the engineering backbone of the internal tools team. Building and maintaining the platforms that every team in the company relies on. Your work directly increases organizational efficiency and enables teams to move faster. The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem. This position is 100% Remote. Senior Engineer Responsibilities: Build & Ship: - Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams. - Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. - Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products. Architecture & Integration: - Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. - Design for reliability, performance, and scale what you build today must hold as the company grows 5-10x. - Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems. - Own your services in production: monitoring, alerting, incident response, and post-mortems. AI & Automation: - Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes. - Move fast from prototype to production. You know the difference between a demo and a system that works at scale. - Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity. Collaboration & Influence: - Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don't wait for a spec you help shape it. - Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example. - Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Qualifications Senior Engineer Qualifications: - 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. - Artificial Intelligence (AI) experience required. - Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java. - Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices. - Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). - Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. - Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. - Clear communicator who can explain technical tradeoffs to non-technical stakeholders. - Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus. - Frontend experience with React, Next.js, or equivalent modern frameworks is a plus. - Familiarity with HRIS, ERP, or people systems data models and processes is a plus. - Experience at a high-growth or AI-native company is a plus. - Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. - Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Senior Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Senior Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .

Job Description Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We're accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond. The Role Every engineer at Hadrian ships software. The speed and quality of that work depends directly on the tools, pipelines, and workflows underneath it. The Builder Tools team owns that foundation. As a Software Engineer on the Builder Tools team, you will build and maintain the CI/CD infrastructure, internal tooling, and AI-assisted development workflows that every engineering team at Hadrian depends on. Your users are Hadrian's engineers, and your job is to make them faster. That means owning shared pipeline libraries, reducing friction in the SDLC, making internal systems accessible to AI coding agents, and automating the work that slows teams down. This is a high-leverage role. The systems you build touch every engineer at Hadrian, and the improvements you ship show up immediately in how fast the company moves. What You'll Do Build and maintain CI/CD pipeline libraries that abstract build, release, and deployment events for use across multiple engineering teams Design and build internal tools, APIs, and CLI utilities that reduce developer friction and automate recurring engineering tasks - dependency upgrades, credential rotation, routine maintenance Help make Hadrian's internal systems API-ready for AI coding agents; build harness tooling, context systems, and feedback loops that improve the quality of AI-generated contributions in our codebase Instrument and monitor developer productivity systems; surface bottlenecks and measure the impact of tooling improvements through clear metrics Partner with application development teams to identify needs, implement CI/CD best practices, and drive adoption of new tooling across the org Join the on-call rotation to support systems and services during production incidents; contribute to root cause analyses and postmortems Participate in code reviews and author technical proposals that raise the engineering bar for the Builder Tools team What We're Looking For 5-8 years of software engineering experience, with at least 2-3 years focused on CI/CD, developer tooling, or build infrastructure Hands-on experience building and maintaining complex CI/CD pipelines and build infrastructure - pipeline-as-code, artifact management, multi-environment deployments Strong programming fundamentals in Go, Python, TypeScript, or similar; track record of writing clean, maintainable, well-tested code Experience with Docker and container orchestration (Kubernetes or similar) Solid understanding of source control concepts and practical Git experience Proven ability to troubleshoot complex systems and resolve issues efficiently A developer empathy mindset: you build tools that are easy to adopt, well-documented, and reduce toil rather than create it Bachelor's degree in Computer Science or related field, or equivalent experience What Will Set You Apart Genuine curiosity and hands-on experience with AI coding tools and agents - Copilot, Cursor, Claude Code, or similar - and opinions about what makes them work well in a real codebase Experience building API-ready interfaces or harness tooling for AI coding agents Prior work on developer experience or engineering productivity programs Familiarity with GitOps principles and workflows Experience with static analysis, automated PR pipelines, or code review tooling Background in fast-paced or scaling startup environments Growth & Trajectory The Builder Tools team is being built from the ground up, and this is one of the foundational IC roles on it. As the team grows and the function matures, there are opportunities to specialize in AI-assisted developer workflows, CI/CD platform ownership, or SDK/API development - and to grow into a senior IC or tech lead role as the org scales. Compensation For this role, the target salary range is $120,000- $250,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits for Full-time Employees Medical, dental, vision, and life insurance plans for employees 401k Relocation support may be provided for certain situations, based on business need. Flexible vacation policy Equity ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Hadrian Is An Equal Opportunity Employer It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions. Compensation Range: $164.5K - $233K

Job Description Job Description No subs- No sponsorship Remote AI Engineer (Mid-Senior) United Global Technologies (UGT) Remote (U.S.), Full-time UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed - and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio. WHAT YOU'LL DO - Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate. - Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths. - Architect scalable data pipelines - aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems. - Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages. - Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM. - Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform. - Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI). - Mentor a junior AI engineer and help establish engineering conventions and onboarding standards. WHAT WE'RE LOOKING FOR (REQUIRED) - 5+ years of professional software / AI engineering experience, with a strong Python foundation. - Hands-on experience building LLM / RAG applications - retrieval, chunking strategies, prompt orchestration, and evaluation. - Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini. - Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent). - Practical understanding of security and data governance, including handling of sensitive or controlled data. - U.S. citizenship or permanent residency (supports a federal / DOE environment). - Ability to provide consistent support during Pacific Time core business hours. NICE TO HAVE (PREFERRED) - Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment. - Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance. - Experience using Microsoft Copilot for enterprise RAG use cases. - Experience integrating application and AI logging into a SIEM. - Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge. EMPLOYMENT & ELIGIBILITY - Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role). - Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required. - Must reliably support Pacific Time core business hours. - U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work). - Government-furnished equipment provided for the engagement. ABOUT UGT United Global Technologies, Inc. (UGT) is a Charlotte, NC-based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.

Job Description Job Description About NIO NIO Inc. is a pioneer and a leading company in the global smart electric vehicle market. Founded in November 2014, NIO aspires to shape a sustainable and brighter future with the mission of "Blue Sky Coming". NIO envisions itself as a user enterprise where innovative technology meets experience excellence. NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological breakthroughs and innovations, exceptional products and services, and a community for shared growth. NIO provides premium smart electric vehicles under the NIO brand, premium smart electric vehicles for families through the ONVO brand, and small smart high-end electric cars with the FIREFLY brand. About the Position We are seeking a senior OS / kernel engineer to join our SkyOS team. The team is responsible for the design and development of NIO's full-domain vehicle operating systems. The position will explore new ideas and designs that can make systems software faster, more dependable, and intelligent, from proof of concept to final production quality. You will have the opportunity to work on almost every layer of systems software, including kernel, networking, file system, drivers, hypervisor, libc, build system, etc, to optimize the system from high-level architecture down to the choice of assembly instructions, to bring high-impact innovations onto production systems by collaborating with engineering teams. If you enjoy building systems from scratch, writing high quality system code, optimizing performance, and shaping the future of systems software for intelligent EVs, the stage is ready for you. Responsibilities Prototype and evaluate advanced systems software concepts, including kernels, file systems, drivers, and networking, to improve system performance, safety, and dependability. Design, implement, and optimize critical low-level system components to fulfill strict real-time performance and safety goals. Contribute to the long-term systems software architecture and help guide technical decisions within the smart EV infrastructure. Collaborate closely with broader engineering teams to transition prototypes and advanced concepts into highly reliable, production-ready deployments. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or related fields. Strong background and hands-on experience in operating system internals, virtualization, or system security. Solid understanding of computer hardware architecture, with practical experience in at least one of the following: x86, Arm, or RISC-V. Proficiency in C, assembly, and/or Rust. Proven ability to navigate, debug, and improve complex, low-level codebases. Strong troubleshooting skills to diagnose and resolve complex system-level performance, memory, and stability issues. Ability to work independently on ambiguous technical problems while remaining a strong, communicative team collaborator. Preferred Qualifications Master's or Ph.D. in Computer Science, Engineering, or a related field. Familiarity with the latest academic research in systems (e.g., papers from SOSP, OSDI, ASPLOS) and a track record of applying these concepts to solve industry problems. Experience modifying, extending, or building core system software components (such as custom kernel modules, hypervisors, real-time operating systems (RTOS), or network stacks). Exposure to microkernel architectures or automotive/safety-critical operating systems. Familiarity with formal verification methods or automotive safety standards (e.g., ISO 26262). Benefits Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO: Anthem Blue Cross, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage. Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents. Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible Anthem Blue Cross medical plan Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with Brokerage Link option Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time 13 Paid Holidays a year Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO) Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO) Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance Commuter benefits Mobile Cell Phone Credit Free lunch and snacks Onsite gym Employee discounts and perks program Compensation The US base salary range for this full-time position is $143,200.00 - $186,000.00. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. Five9 is one of the world's leading cloud contact center platforms. Our AI-powered Automated Quality Management (AQM) product is transforming how enterprises measure, evaluate, and improve agent and interaction quality at scale. As we build out our dedicated AQM Prompt Engineering capability within Specialized Services, we are hiring a Senior WEM AQM Prompt Engineer to lead and shape this practice. This senior role goes beyond hands-on prompt design. You will be the technical authority for Five9 AQM prompt engineering - setting standards, building reusable assets, mentoring the Prompt Engineer team, and acting as the go-to expert for complex customer escalations and pre-sales engagements. If you have spent a significant portion of your career building sophisticated Speech Analytics programs in Verint, NICE, or Genesys - and you have developed serious prompt engineering skills alongside that domain expertise - this role was designed for you. Why Your Speech Analytics Background is the Foundation for This Role Building effective AQM prompts follows the same disciplined, iterative methodology that defines expert-level Speech Analytics category design: Speech Analytics / Verint AQMFive9 AQM Prompt EngineeringDefine category intent & scopeDefine prompt intent & evaluation scopeSelect & tag representative call samplesSelect evaluation call samplesIteratively tune keyword / phrase setsIteratively refine prompt wording & logicTest against live call trafficTest prompt outputs against real callsValidate recall & precision metricsValidate pass / fail accuracy metricsDocument & hand off to QA teamDocument prompts for QA workflow At the senior level, this role adds a leadership and practice-building dimension: you will set the standards the rest of the Prompt Engineering team follows and serve as the technical authority across the most complex customer engagements. Key Responsibilities - Practice Leadership • Serve as the technical lead and subject matter authority for Five9 AQM Prompt Engineering within Specialized Services. • Define and own the prompt engineering methodology, standards, quality gates, and best practice documentation for the team. • Build and maintain a curated, reusable prompt library of validated evaluation templates spanning key verticals and QM use cases. • Mentor and technically guide the WEM AQM Prompt Engineer team (x3), conducting prompt reviews and providing structured feedback. • Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key Responsibilities - Customer Delivery • Lead prompt engineering on the most complex and high-value AQM customer engagements, from initial scoping through production deployment. • Act as the senior escalation point for prompt performance issues, failure analysis, and remediation on live customer deployments. • Partner with customers at senior stakeholder level to translate QM strategy and compliance requirements into precise, measurable AQM evaluation criteria. • Design and execute prompt validation frameworks - including representative call sampling, precision/recall analysis, and A/B prompt testing - to ensure accuracy before production release. Key Responsibilities - Product & Pre-Sales Collaboration • Serve as the Prompt Engineering SME in pre-sales engagements, demonstrating Five9 AQM capabilities and advising prospective customers on prompt-driven evaluation design. • Provide structured product feedback to the Five9 AQM product team based on field experience, identifying gaps, limitations, and enhancement opportunities. • Develop and deliver internal training and enablement for consultants and implementation staff on AQM prompt engineering techniques. • Represent the Prompt Engineering practice in cross-functional forums and contribute to go-to-market materials, customer case studies, and thought leadership content. Key Requirements • Minimum 5 years' hands-on experience as a Speech Analytics Lead, Senior QM Analyst, or WEM Consultant with deep expertise in category/topic design, program governance, and optimization in Verint (Categories/Category Sets), NICE CXne (Category Sets), Genesys (Topics), or equivalent - at a seniority level sufficient to have owned or led an analytics program. • Formal prompt engineering qualification or a verifiable, substantive portfolio of production-grade prompt design work, including evidence of iterative refinement, performance measurement, and documentation. • Demonstrable understanding of LLM behavior - including how prompt structure, instruction framing, persona assignment, chain-of-thought, and few-shot examples affect model outputs. • Strong background in Quality Management design: experience building evaluation frameworks, scorecard design, calibration processes, and QM governance. • Experience leading or mentoring technical team members in a delivery or consulting environment. • Proven track record of translating complex business requirements into structured, testable, and scalable technical solutions. • Excellent written and verbal communication skills; comfortable presenting to senior client stakeholders and internal leadership. • BA/BS or equivalent experience; advanced degree in a relevant discipline is advantageous. Preferred Qualifications • Formal prompt engineering certification: DeepLearning.AI Prompt Engineering for Developers, Anthropic Prompt Engineering, OpenAI Prompt Engineering, DAIR.AI Prompt Engineering Guide, or equivalent industry-recognized program. • Direct experience with one or more leading LLM platforms at an advanced level (OpenAI GPT-4+, Anthropic Claude, Google Gemini, Meta Llama, or similar), including API usage, system prompt design, and evaluation harness development. • Prior hands-on experience with Five9 AQM or another AI-native QM solution (e.g., NICE Enlighten QM, Genesys Cloud AI Quality, Medallia, Qualtrics). • Experience contributing to or owning a Speech Analytics or QM center of excellence - including methodology documentation, internal training, and cross-client best practice standardization. • Familiarity with prompt evaluation frameworks (e.g., LLM-as-judge, human-in-the-loop evaluation pipelines, or equivalent). • Exposure to NLP concepts - tokenization, embeddings, semantic similarity - sufficient to reason about why a prompt succeeds or fails. • Experience with JSON, Python scripting, or no-code automation tools as applied to prompt testing and workflow automation. • Background in contact center compliance-driven QM (financial services, healthcare, utilities) where regulatory accuracy requirements add additional complexity to evaluation design. Key Competencies • Technical Authority - recognized internally and externally as the go-to expert on LLM prompt design for contact Centre quality evaluation. • Analytical Rigor - applies statistical thinking and structured measurement to validate and continuously improve prompt performance. • Linguistic Mastery - exceptional command of written instruction; understands how nuance, framing, and ambiguity in prompt language directly influence AI outputs. • Leadership & Coaching - ability to elevate the capability of others through structured mentoring, peer review, and knowledge transfer. • Strategic Customer Engagement - trusted advisor to senior client stakeholders on the use of AI in quality management. • Innovation Orientation - proactively monitors the LLM landscape and identifies opportunities to improve Five9 AQM prompt design practices. • Operational Excellence - drives the team toward repeatable, scalable processes without sacrificing quality or creativity. About Five9 WEM Specialized Services The Specialized Services team within Five9 Professional Services delivers expert-led implementation, optimization, and advisory engagements across the Five9 WEM portfolio. Our AQM Prompt Engineering practice is a newly established Centre of excellence, designed to ensure that customers realize the full potential of Five9's AI-powered quality management capabilities. As the founding senior hire into this practice, the Senior WEM AQM Prompt Engineer will have a rare opportunity to define how prompt engineering is done at Five9 - and to build something genuinely new. Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally . click apply for full job details

Job Description Job Description About Us At Agtonomy, we're not just building tech-we're transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry-leading equipment manufacturers, we're creating a future where labor shortages, environmental strain, and inefficiencies are relics of the past. Our team is a tight-knit group of bold thinkers-engineers, innovators, and industry experts-who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot. About the Role We're looking for a skilled ML engineer to build the perception systems that give our autonomous machines human-like awareness in rugged, unstructured environments. You'll develop computer vision and machine learning systems that turns noisy camera and LiDAR data into robust 3D scene understanding - enabling heavy equipment to operate safely through dust, glare, occlusion, and whatever messy conditions a working site throws at it. The field is moving past bounding-box detection and hand-tuned tracking toward learned, dense scene representations, foundation-model-driven data engines, and uncertainty-aware perception. You'll be at the center of that shift. This role is hands-on: you'll write production-grade software, distill and optimize models for embedded hardware, and validate your work on real machines at operating around the world. What You'll Do Develop real-time perception models for open-world obstacle and terrain understanding. Build multi-modal fusion that combines camera and LiDAR into a unified 3D/BEV representation, robust to occlusions, sensor degradation, and GNSS outages. Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance. Design auto-labeling pipelines that leverage foundation models and teacher-student distillation to scale labeling and close the loop from real-world field interventions. Design data and evaluation pipelines that curate large multi-sensor datasets and surface failures fast, with strong visualization and debugging tooling. Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems. What You'll Bring A MS/PhD in Computer Science, AI, or a related field, or 6+ years of industry experience building vision-based perception systems. Deep expertise developing and deploying modern perception models: detection, segmentation, mono/stereo/metric depth, BEV/occupancy, sensor fusion, and 3D scene understanding. Fluency adapting, fine-tuning, and distilling large pre-trained vision and vision-language models. Strong grounding in multi-sensor integration (camera, LiDAR, radar): calibration, spatiotemporal sync, and cross-modal fusion. Experience handling large datasets efficiently and organizing them for labeling, training and evaluation. Fluency in Python with PyTorch/TensorFlow/OpenCV and the ability to write efficient, production-ready code for real-time systems. Proven ability to design experiments, analyze metrics (mAP, IoU, latency/throughput, and calibration/ECE), and optimize to meet stringent real-world performance and safety requirements. An eagerness to get your hands dirty and agility in a fast-moving, collaborative, small team environment with lots of ownership. What Makes You a Strong Fit Experience architecting multi-sensor ML systems from scratch. Experience building auto-labeling / data-engine flywheels at scale. Experience with compute-constrained pipelines including optimizing models to balance the accuracy vs. performance tradeoff, leveraging TensorRT, model quantization, etc. Familiarity with emerging predictive world models for anticipation, anomaly detection, or closed-loop simulation, and adjacent policy paradigms such as Vision-Language-Action (VLA) and World-Action (WAM) models. Experience with compute-constrained deployment: TensorRT, model quantization, and custom CUDA operations. Publications at top-tier perception/robotics venues (CVPR, ICRA, CoRL, RSS, etc.). Passion for how we feed, build, move, and maintain the world. The US base salary range for this full-time position is $200,000 to $280,000 + equity + benefits + unlimited PTO The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process. Benefits • 100% covered medical, dental, and vision for the employee (partner, children, or family is additional) • Commuter Benefits • Flexible Spending Account (FSA or HSA) • Life Insurance • Short- and Long-Term Disability • 401k Plan • Stock Options • Collaborative work environment working alongside passionate mission-driven team!

Job Description Job Description Halo Industries, Inc., a pioneer in manufacturing innovation with light-based technologies, seeks a highly skilled System Integration Engineer to join our dynamic team. Our proprietary advancements replace traditional processes with novel light-based equivalents, offering higher quality, lower cost, and enhanced functionality. As we rapidly expand our operations, we're looking for a team to oversee our prototype systems' integration and verification activities. The Opportunity We are seeking a highly motivated and skilled Senior System Integration Engineer - Test & Validation to join our dynamic team. This role is crucial for the successful integration, testing, and deployment of our cutting-edge laser-based wafer manufacturing systems. The ideal candidate will have deep hands-on experience with complex electro-mechanical and optomechanical hardware, including lasers, motion stages, and control electronics, and will be responsible for ensuring that all system components perform to specification through rigorous test and validation. This position requires a strong understanding of system-level hardware integration, and test automation, along with the ability to diagnose issues across electrical, mechanical, and optical domains. This is a hardware-focused documentation, test, and validation role - ideal for an engineer passionate about working directly with instrumentation, sensors, and high precision actuators to drive reliability and performance improvements in a fast-paced manufacturing environment. Responsibilities Lead the hardware integration and validation of complex laser-based wafer manufacturing systems, including optical, mechanical, electrical, and precision motion subsystems. Develop and execute detailed hardware test procedures - from subsystem acceptance tests to system-level validation - ensuring performance meets design and reliability requirements. Perform hands-on testing, troubleshooting, and root-cause analysis across electrical, mechanical, optical and controls domains. Work closely with technicians to ensure consistent build quality, accurate documentation, and reproducible test processes. Design and specify test setup, instrumentation and data acquisition requirements needed to validate system functionality and performance. Collect, analyze, and interpret test data, identifying trends, deviations, and opportunities for design or process improvements. Contribute to the development of automation tools for data collection and test execution (LabVIEW, Python, or equivalent). Collaborate with cross functional teams - including mechanical, electrical, optical, and software engineers to resolve integration and performance issues. Contribute to design and readiness reviews, providing feedback focused on hardware testability, manufacturability, and serviceability. Requirements Basic Qualifications Bachelor's degree in Mechanical Engineering, Optical Engineering, Electrical Engineering or a related field. 5+ years of experience in hardware system test, validation, or system engineering within semiconductor equipment, laser systems, robotics, or precision automation. Demonstrated ability to troubleshoot complex hardware systems, isolate issues, and drive corrective actions in collaboration with design engineers. Proven ability to plan, execute, and document hardware validation efforts from concept through system acceptance. Strong hands-on background with electromechanical systems, including controls, sensors power electronics, and optical assemblies. Experience developing and maintaining ATP documents, test procedures, and build instructions for complex systems. Proficient with instrumentation and diagnostics tools (Oscilloscope, DMM, DAQ's, interferometers, alignment cameras, etc.) Preferred Qualifications Experience in a hands-on lab or factory setting, working alongside technicians to build, test and qualify hardware systems. Experience with laser systems and optical alignment, including beam path setup, diagnostics, and calibration. Familiarity with semiconductor wafer manufacturing equipment, process flow, or fab environment practices (vacuum, cleanroom or safety protocols). Working knowledge of hardware test automation using tools for system characterization. Exposure to motion control and optomechanical systems, including tuning, encoder calibration, and vibration analysis. Experience developing or executing Acceptance Test Procedures (ATP's) and formal system-level validation plans. Proficiency with data analysis and visualization for performance trending and reliability studies. Familiarity with data-acquisition and control software (LabVIEW, Python, MATLAB, or similar) for test automation and data logging. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Life Insurance (Basic, Voluntary & AD&D) Family Leave (Maternity, Paternity) Free Food & Snacks Stock Option Plan Short Term & Long Term Disability Base salary $ 150,000 - $ 165,000 Additional Information We are committed to creating an inclusive workplace where all team members feel valued and supported. We welcome applicants from diverse backgrounds, including those from underrepresented communities in STEM. If you meet most of the qualifications and are excited about this opportunity, we encourage you to apply.

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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 AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 ; 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- 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).

Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 ; 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- 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).

Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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 AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 ; 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- 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).