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Requisition Number: 27254 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $75,920.00 - $110,000.00 Security Clearance: Secret Level of Experience: Mid This opportunity resides with Warfare Systems (WS), a business group within HII’s Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems. HII works within our nation’s intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners. Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 Job Description Huntington Ingalls Industries, Technical Solutions Division (HII-TSD) is currently seeking Systems Administrators. The ideal candidates work well in an agile, fast moving culture and has a fundamental passion and curiosity to learn. This is a pipeline requisition intended to gather interest from candidates with this skill set for futureopportunities. While there may not be an active opening at this time, we encourage you to apply so we canreach out when a matching role becomes available. Pay is dependent upon candidates relevant years of experience and education background. #LI-HB1 Essential Job Responsibilities Maintain development systems (i.e. security patches, kernel updates, OS updates). Use procedures to perform identification, troubleshooting, and diagnosis of hardware failures and restore system capability to operations. Provide administrator support (User creation/deletion, security group management, storage media permissions, shared resources configuration). Manage transferring of data between networks as needed Purchase and configure PCs for new personnel. Purchase and maintain printer toner inventory, replacing cartridges when needed. Maintain system documentation and inventory database. Perform other infrastructure maintenance tasks as required. Minimum Qualifications Bachelors in related field and 0-6+ years relevant experience Masters in related field and 0-4+ years relevant experience High School Diploma or equivalent and 4-10+ years relevant experience Current CompTIA Security+ ce Certification preferred at time of hire OR ability to obtain within 6 months of hire date Knowledge of Active Directory, Windows OS, Windows Server OS Basic understanding of OSI networking model Must be able to bend, reach, stoop and lift up to 50 lbs. Must be able to climb rung ladders and work in confined areas. Must be able to obtain and maintain a TS/SCI security clearance with enhanced security checks Minimum Secret clearance is required to start Preferred Requirements Experience configuring and managing VPN connections to remote sites. Other IT/technical certifications than listed above. Experience working in classified environments. Experience working with NIPR, SIPR, other DoD networks. Experience with different databases, including working knowledge of SQL, relational data stores. Experience with Linux OS. Physical Requirements Adequate visual acuity and manual dexterity for meeting the requirements of the Systems Analyst discipline. The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. We are looking for an experienced software engineer with excellent C/C++ programming skills and at least 5 years of related work experience. The ideal candidate should have a strong background in software design, debugging, and performance analysis, and a deep understanding of system level architecture. Key Requirements: • Degree in Computer Science, Computer Engineering, or related discipline, • Excellent C/C++ programming skills, • Strong experience in software design, debugging, and performance analysis, • Deep understanding of system level architecture, • Experience with Linux driver or Linux Kernel development, • Ability to work independently and lead development efforts, • Experience contributing to large open/closed source projects Preferred Skills & Experience: • Minimum 5 years of software engineering or related work experience, • Masters or PhD in Computer Science, Computer Engineering or a related discipline, • Experience with Python and using C/C++ libraries from Python (e.g. using Cython), • Focus on software quality and testing, • Experience architecting low and high level APIs, • Proficient in a variety of development styles and programming languages, • Ability to build projects from the ground up, • Comfortable working within a rapidly evolving project, • Driven and self-directed Perks: • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days, • Stock options Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.

Job Description Lead an engineering team that partners with the Linux engineers of a major silicon company, and works across the full Linux stack from kernel to GUI, to optimise Ubuntu, the world's most widely used Linux desktop and server, for the latest silicon. The role is a fast-paced, problem-solving role that's challenging yet very exciting. The right candidate must be resourceful, articulate, and able to deliver on a wide variety of solutions across PC and IoT technologies. Our teams partner with specialist engineers from major silicon companies to integrate next-generation features and performance enhancements for upcoming hardware. As a Partner Engineering Manager at Canonical your role is to manage relationships with our key technology partners by ensuring timely delivery on agreed project milestones. Technical leadership experience and a background in software engineering are necessary prerequisites for this role. You will be expected to lead, challenge, and develop strong engineers, positively influence the culture, facilitate technical delivery, and work with your team on strategy and execution. What you'll do • Lead a team of distributed engineers to design and implement the best Ubuntu integration for the latest IoT and server-class hardware platforms and software stacks, • Engage with commercial partners to deliver a delightful, optimised, first class Ubuntu experience on their platforms, • Develop your team through coaching, mentoring, leading by example, and feedback, • Oversee commercial engagements and support timely delivery on agreed project milestones, • Ensure an ongoing commitment to strict quality and reliability standards, • Engage with other teams at Canonical to ensure alignment on product architecture and roadmaps, • Work from home with global travel up to twice a year for up to two weeksWho you are, • You have worked with Linux distributions, debian packaging and high performance, server-class hardware, • You have experience working directly with customers, resolving their technical issues, interpreting their business challenges and effectively communicating how your solution will meet their needs, • You have demonstrated experience managing or leading a team of software engineers, • You have understanding of agile software development methodologies, • You collaborate effectively across multiple internal teams, building trust and delivering results, • You have effective communications skills in English, both written and oral, • You have a bachelor's (or equivalent university level) degree, preferably in a technology fieldWhat Canonical offers, • Learning and Development opportunities, • Annual Compensation Review, • Recognition Rewards, • Annual Leave, • Priority Pass for travel We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration #LI-remote

Job Description Role & Responsibilities Overview: Architecture & Technical Leadership • Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers, • Design and govern agentic orchestration framework for multi-step workflows, • Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation Platform & Integration Design • Define integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIs, • Design configurable, metadata-driven framework for multi-LOB onboarding, • Define API/microservices patterns (Python/.NET hybrid) AI & GenAI Enablement • Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows, • Establish multimodal integration approach combining structured, unstructured, and external data, • Design prompt lifecycle, evaluation, and optimization strategy Governance, Safety & ModelOps • Define AI safety and guardrails (PII, hallucination control, policy constraints), • Establish ModelOps and PromptOps frameworks, • Ensure explainability, auditability, and traceability of AI outputs Program Leadership • Lead technical execution across AI, data, and platform teams, • Guide engineers (AI, data, full-stack) and ensure alignment with architecture, • Drive technical decisions and stakeholder communication Candidate Profile: • Experience: 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture, • Background: Strong experience in designing enterprise-scale platforms and distributed systems, • Domain (good to have): Insurance / reinsurance / financial services, • Education: Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field, • Profile Type: Hands-on architect with ability to balance strategy + execution Technical skills: • GenAI & Agentic Frameworks - Semantic Kernel/ LangGraph (or similar orchestration frameworks); LLM integration (Azure OpenAI, OpenAI APIs, etc.); Prompt engineering, prompt lifecycle design, • Retrieval & RAG - Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management, • Tool Access & Integration - MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs, • AI Safety & Governance - NVIDIA NeMo Guardrails;Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control, • Evaluation & ModelOps - Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring, • DevOps & Observability - CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. About the Role Plume's Core Engineering team is looking for a Senior Wireless Firmware Engineer with deep expertise in WiFi driver development to lead innovation for large-scale WiFi and broadband solutions. You will work across embedded firmware, wireless drivers, and system-level software to enable high-performance, scalable, and reliable WiFi experiences. This is a high-impact senior role where you will lead complex initiatives in wireless networking, performance optimization, and large-scale deployments, while mentoring other engineers and influencing system architecture. What You'll Do • Lead design and development of WiFi firmware and driver architecture for next-generation wireless platforms, • Own critical components of the WiFi stack and drive technical direction across projects, • Mentor junior engineers and provide technical guidance across firmware and driver domains, • Design, develop, and optimize WiFi firmware and low-level wireless drivers, • Work on IEEE 802.11 stack (WiFi 4/5/6/6E/7), including MAC/PHY layers, • Debug and optimize WiFi drivers with chipset/SoC vendors, • Analyze network behavior and improve performance (throughput, latency, reliability), • Participate in full software lifecycle: design, development, testing, deployment, and support, • Troubleshoot complex system-level issues across firmware, drivers, and networking stacks Required Qualifications • BS/MS/PhD in Computer Science, Electrical Engineering, or related field, • 8+ years of experience in embedded systems, firmware, or driver development, • Proven experience leading complex technical projects end-to-end, • Strong expertise in C/C++, • Deep experience with WiFi driver development at chipset/SoC level, • Strong understanding of Linux kernel and networking stack, • Deep knowledge of IEEE 802.11 MAC and PHY layers, • Experience with OpenWRT, RDK, or OpenSync, • Strong debugging and performance optimization skills Preferred Qualifications • Experience with Broadcom, Qualcomm, or MediaTek WiFi chipsets, • Experience with mesh networking and large-scale deployments, • Knowledge of MU-MIMO, OFDMA, beamforming, WiFi 7, • Python or scripting for automation, • Familiarity with cloud-managed networking systems What You Bring • Strong ownership and leadership mindset, • Ability to solve complex, ambiguous problems, • Experience mentoring engineers, • Excellent communication and collaboration skills, • Passion for building high-performance wireless systems This role is fully remote but requires someone to reside in EST. Unfortunately, we are not offering sponsorship at this time. The total compensation package would include an anticipated compensation range of $140,000.00 - $150,000.00, plus bonus, equity, and benefits. Benefits include: a 401 (k) plan and a company match, basic life insurance, plus unparalleled health, dental, vision, and other benefits and perks. An employee's base salary and its position within the range may depend on several factors, including job-related knowledge, education, skills, experience, and other business-related considerations. Published ranges are provided in good faith at the time of posting. #LI-Remote, #RemoteJobs, #WorkFromHome, #RemoteWork, #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave's Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack. This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Python, Go, bash/sh, C, • Prometheus, Victoria Metrics, Grafana, • Linux Kernel (custom build), Ubuntu, • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Docker, kubernetes (k8s), KubeVirt, containerd, kubelet Focus Areas: • Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes., • Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement)., • Stack-Wide Support – Ensure kernel support and stability across:, • Virtualization (KubeVirt, QEMU, vFIO), • Container runtimes (containerd, nydus, kubelet), • HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand), • Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs., • Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.About the role:, • Triage and fix kernel crashes and performance regressions., • Develop, test, and upstream kernel patches relevant to CoreWeave's hardware/software environment., • Collaborate with hardware vendors and the Linux community on feature enablement., • Implement diagnostics and tooling for kernel-level observability., • Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads., • Provide kernel-level expertise during incident response and root-cause investigations.Who You Are:, • 5+ years of professional experience in Linux kernel engineering or systems-level development., • Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers)., • Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump., • Strong C programming skills with the ability to write maintainable and upstream-quality code., • Experience working with kernel modules, drivers, and subsystems., • Strong problem-solving abilities with a "full-stack" systems perspective. Preferred: • Contributions to the Linux kernel or related open-source projects., • Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes., • Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning)., • GPU/DPU bring-up and driver experience., • Experience in HPC or large-scale distributed systems., • Familiarity with QA/QE best practices, • Experience working in Cloud environments, • Experience as a software engineer writing large-scale applications, • Experience with machine learning is a huge bonus The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Role: Senior AI Engineer (GenAI & Azure/ .NET Full-Stack Integration) Experience: 10–12 Years Location: United States Role Summary: We are looking for a Senior AI Engineer to build and maintain an automated insurance document processing system. You will bridge the gap between advanced GenAI capabilities and production-grade software, writing the code that extracts data from emails, enriches it via web scraping, and serves it through a modern React interface. Key Responsibilities: • LLM Implementation: Build and optimize prompts and "Agentic" workflows to convert complex insurance documents into precise JSON formats for storage in SQL/Cosmos DB., • Feature Development: Develop and maintain business logic within .NET Core APIs and create intuitive UI components in React for data validation and risk assessment., • Data Enrichment: Build web-scraping pipelines to gather external ratings and risk data, implementing fuzzy matching logic to reconcile customer identities., • Optimization: Implement Azure AI Foundry for model monitoring, focusing on reducing latency and costs in the RAG pipeline., • Maintenance: Debug complex interactions between the LLM orchestration layer and the core business logic, ensuring high reliability for the document submission lifecycle. Qualifications: • 10+ years of professional engineering experience with a heavy focus on GenAI integration., • Proficiency in .NET Core, React, and Python-based AI frameworks (LangGraph, Semantic Kernel, or FastAPI)., • Hands-on experience with Azure AI Search, RESTful API design, and CI/CD (GitHub Actions/Azure DevOps)., • Ability to translate complex business rules into both deterministic code and LLM prompts.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do To accelerate datacenter deployment and management, CoreWeave is expanding its firmware engineering team to focus on developing and maintaining OpenBMC-based firmware for our next-generation Baseboard Management Controllers (BMCs). As a Senior Firmware Engineer, you'll design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave's high-performance compute infrastructure. You'll work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance. Key Responsibilities • Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave's custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring., • Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments., • Optimize: BMC Performance and Harden Security, • Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS., • Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation., • Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase., • Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave's infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals. Who You Are Minimum Qualifications • Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware., • Education: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Technical Skills: • Proficiency in C/C++ for embedded systems., • Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments., • Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish), • Experience with hardware bring-up, board-level debugging, and sensor integration., • Comfort with Linux kernel configuration, device trees, and BSP-level integration., • Working knowledge of source code control system such as Git, • Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles., • Basic scripting skills in Python or Bash for build automation and validation., • Strong problem-solving and analytical thinking; able to break down complex system-level issues., • Communicates effectively with peers across hardware, firmware, and operations teams., • Self-driven with a focus on delivering high-quality, maintainable code., • Thrives in a fast-paced environment and balances multiple priorities effectively.Preferred Qualification, • Experience developing CI/CD pipeline for firmware builds and regression testing, • Exposure to large-scale datacenter or HPC environments, • Contributions to open-source firmware projects or upstream Linux development The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Role: AI Architect (Azure/.NET/React - GenAI & Agentic Systems) Experience: 12–15 Years Location: United States Role Summary: We are seeking a hands-on AI Architect to lead the design and evolution of our enterprise Document Submission and Intelligence platform. You will be responsible for defining how GenAI, Agentic frameworks, and RAG architectures transform raw insurance documentation (emails, PDFs, renewals) into structured, actionable business data. Key Responsibilities: • System Architecture: Define the end-to-end blueprint for a multi-layered AI platform, integrating LLM orchestration (LangGraph/Semantic Kernel) with a .NET Core and React ecosystem., • Data Intelligence: Design robust RAG (Retrieval-Augmented Generation) strategies using Azure AI Search and vector databases to enable deep-context searching across customer risk profiles., • Tooling & Connectivity: Architect the Model Context Protocol (MCP) layer to enable AI agents to perform web scraping for risk rating enrichment and fuzzy matching against enterprise databases., • Safety & Governance: Establish rigorous guardrails (NVIDIA NeMo, Microsoft Presidio) for PII masking and hallucination control., • Evaluation Framework: Define "LLM-as-a-judge" metrics to ensure high accuracy in extracting JSON schemas from unstructured insurance documents. Qualifications: • 12+ years in software/data engineering with 5+ years specializing in AI/ML architecture., • Proven experience designing high-throughput document processing pipelines (Unstructured LLM SQL/Cosmos)., • Deep expertise in Azure OpenAI, vector search optimization, and agentic workflows., • Strong background in financial services or insurance domains is highly preferred.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: MLOps Engineer Expert Type: Contract Compensation: $90–$140/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics., • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems., • Evaluate MLOps tasks and solutions and provide clear, written technical feedback., • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization., • Hands-on production experience with JAX and/or PyTorch at scale., • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton., • Demonstrable career progression., • Ability to engage reliably for at least 40 hours/week during weekdays., • Strong written communication skills and the ability to explain complex technical decisions clearly. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionWe are currently hiring for our clients scale up of a software business. This is a senior appointment: Own parts of their core backend infrastructure, which is a complex, real-time distributed system written in Python and Rust Own big initiatives end-to-end and deliver them with minimal guidance Troubleshoot highly complex production issues Constantly improve the development velocity while maintaining a very high reliability standardTheir backend is developed in Python running in the cloud over k8s. It's not a typical backend interacting with a UI frontend, handling audio streams in real-time. their systems integrate with a large number of third party services. There are several challenges, and as in any fast-paced startup, each team member gets to experience a lot of professional growth and ownership.Qualifications: BSc in Software Development or equivalent industry experience Previously a Staff or Principal Engineer at a startup company 10+ years of experience in Python development Strong Python Asyncio experience Strong software design skills Excellent communicator in writing and orally Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc) Deep understanding of Networking Protocols, Operating Systems Deep knowledge of Python Profiling Experience in delivering and troubleshooting a production-grade cloud-based distributed system Experience in building and troubleshooting a real-time low-level system (e.g. kernel, drivers, RTOS) Kubernetes and Helm experience Experience with different observability stacks Strong LLM prompting skills, but also being able to work without them Experience with gRPC and its troubleshooting Being a contributor or maintainer of an open-source packageBonus: An understanding of one of the following: WebRTC, STUN/TURN, SIP, RTP, HLS, RTMP Having worked with Rust and PyO3 Audio programming experienceThe position centres on distributed systems and concurrent programming, specifically Python's async io framework. Candidates need to be comfortable with low-level, high-performance systems — not web app development. Some DevOps familiarity (e.g., Kubernetes) is also expected. This role is a Global remote role, ideally US or Europe ( NO Applications from India / Pakistan ) EST Timezone

Job Description We are sharing a specialised part-time consulting opportunity for CUDA and GPU programming professionals experienced in kernel optimization, C++ engineering, profiler-guided performance analysis, GPU hardware utilization, and technical review. This role supports current and upcoming remote consulting opportunities focused on GPU kernel optimization, performance evaluation, CUDA/HIP review, profiler metric analysis, C++ and Python workflows, and high-quality project execution. Selected professionals will apply their GPU programming expertise to analyze kernels, identify performance bottlenecks, improve implementation quality, and document optimization decisions across modern hardware environments. Key Responsibilities Professionals in this role may contribute to: GPU Kernel Optimization • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization, • Review kernel implementations and identify bottlenecks in memory access, occupancy, throughput, or execution patterns, • Improve performance outcomes using CUDA, HIP, shader programming, or related GPU programming models, • Optimize kernels even when limited background context is available for the underlying algorithm Profiler-Guided Performance Analysis • Use profiler metrics such as L2 cache hit rate, L2 throughput, occupancy, memory behavior, and related performance signals, • Evaluate when specific profiler metrics are useful, misleading, or secondary to other optimization factors, • Document optimization decisions clearly and explain tradeoffs in technical terms, • Calibrate performance judgments against structured benchmarks, hardware constraints, and project-specific criteria C++, Python & GPU Programming Review • Write, modify, and reason about C++17, Python, and GPU programming code, • Review code for correctness, performance impact, maintainability, and optimization potential, • Use Git-based workflows to manage technical materials and project submissions, • Apply practical GPU programming expertise across CUDA, HIP, Slang, HLSL, GLSL, or related kernel programming environments Ideal Profile Strong candidates may have: • Strong practical experience with GPU programming and kernel optimization, • Fluency in core C++ features through C++17, • Working knowledge of Python and Git, • Fluency in at least one GPU programming model, such as CUDA, HIP, Slang, HLSL, GLSL, or related kernel programming, • At least 1 year of professional or graduate-level research experience working with GPUs, • Strong understanding of GPU profiler performance metrics and how to use them to optimize kernels, • Ability to work independently on technical review and optimization tasks, • Availability to work at least 20 hours per week depending on project scope Educational Background • A degree in computer science, electrical engineering, computer engineering, applied mathematics, physics, mechanical engineering, or a related technical field is helpful, • Graduate-level research, professional GPU engineering experience, or equivalent hands-on kernel optimization experience is highly relevant, • Practical experience with CUDA, HIP, GPU architecture, high-performance computing, graphics programming, or compiler-adjacent performance work may be especially valuable Nice to Have • Experience with CUDA, HIP, CUDA C++ Core Libraries, inline PTX assembly, or tensor core-level optimization, • Experience optimizing kernels for NVIDIA Blackwell hardware or other modern GPU architectures, • Familiarity with Nsight Compute or comparable GPU profiling tools, • Prior experience with GPU hardware organizations such as NVIDIA, AMD, Qualcomm, or similar technical environments, • Open-source contributions related to GPU kernel optimization, HPC, compiler tooling, graphics, or performance engineering Why This Opportunity • Apply advanced GPU programming expertise to structured remote project work, • Contribute to high-quality kernel optimization, performance review, and technical evaluation workflows, • Work on flexible assignments aligned with CUDA, C++, profiler analysis, and GPU architecture strengths, • Use your ability to identify bottlenecks, improve performance, and explain optimization decisions clearly, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Eligible professionals may be based in approved project locations depending on project needs, • Expected commitment of at least 20 hours per week depending on project availability, • Competitive rates between $70–$90 per hour depending on expertise and project scope, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job Description The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the next generation market data provider — with the radical idea that you should only pay for the data that you use. We power the world's largest finance and fintech institutions and lower the barrier of entry for small startups, gaining over 4,000 users during our first year of launch. Our team brings former experience at the world's leading quantitative firms, including Two Sigma, Flow Traders, Tower Research, PDT Partners, SIG, and more. We're looking for a midlevel or senior IC to join our core engineering team. Our team is responsible for all things C/C++ and Rust, and the most performance-sensitive parts of our codebase. You'll be working with nearly 20 PB of data, with thousands of bare metal CPU cores at your disposal. Responsibilities • Design, develop, and maintain high-performance server applications in C/C++ and Rust., • Write message parsers and feed handlers for direct market data feeds from trading venues., • Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds)., • Implement tools and libraries for petabyte-scale data processing and analysis., • Collaborate with the systems team to implement best practices for build, deployment, CI/CD., • Implement monitoring and improve application uptime., • Ensure smooth feature rollouts and updates.Preferred background, • 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup., • Strong proficiency in C/C++ or Rust., • Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers., • Experience working with multiprocess environments., • Comfortable with lldb/gdb., • Good communication skills and work ethic for a remote workplace., • An interest in low-level optimization and performance engineering., • An interest in financial data or algorithmic trading.Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!

Job Description We are sharing a specialised part-time consulting opportunity for MLOps and ML systems professionals experienced in training infrastructure, modern ML frameworks, JAX, PyTorch, kernel-level programming, and structured technical evaluation. This role supports current and upcoming remote consulting opportunities focused on ML infrastructure review, MLOps task development, framework-level engineering, model training workflow evaluation, kernel-level optimization, and high-quality project execution. Selected professionals will apply hands-on ML systems expertise to design challenging technical tasks, evaluate solutions, review training pipeline reasoning, and provide structured feedback across advanced machine learning engineering workflows. Key Responsibilities Professionals in this role may contribute to: MLOps & Training Infrastructure Review • Design and evaluate domain-relevant tasks involving MLOps, ML systems, and training infrastructure, • Review solutions related to training pipeline design, distributed systems reasoning, model training workflows, and infrastructure-level decision-making, • Identify gaps in technical reasoning, unclear assumptions, incomplete solutions, or weak engineering tradeoff analysis, • Support review of technical materials involving modern ML frameworks, system design, and model development workflows Framework-Level & Kernel Programming Evaluation • Write, assess, and reason about technical tasks involving JAX, PyTorch, Pallas, Triton, and related ML engineering tools, • Evaluate code, explanations, and solutions involving kernel-level programming and performance-oriented ML systems work, • Review technical decisions involving framework behavior, training efficiency, GPU utilization, and implementation quality, • Apply strong engineering judgment to assess correctness, clarity, scalability, and practical feasibility Rubric Development & Technical Feedback • Develop detailed rubrics and evaluation frameworks for MLOps, ML systems, distributed training, and kernel-level tasks, • Provide clear written technical feedback explaining solution quality, reasoning gaps, and improvement areas, • Collaborate with other subject matter experts to support consistency and accuracy across technical review work, • Maintain a high standard of precision, documentation quality, and structured evaluation across submitted materials Ideal Profile Strong candidates may have: • 2+ years of dedicated professional experience in ML infrastructure, MLOps, ML systems engineering, or a closely related technical field, • Hands-on production experience with JAX and/or PyTorch at scale, • Experience writing or optimizing custom GPU kernels using Pallas, Triton, or comparable kernel programming tools, • Strong understanding of model training infrastructure, distributed systems, framework-level behavior, and ML engineering workflows, • Demonstrable career progression in technical engineering roles, • Strong written communication skills and ability to explain complex technical decisions clearly, • Ability to work independently in a remote, project-based environment Educational Background • A degree in computer science, computer engineering, electrical engineering, applied mathematics, machine learning, data science, or a related technical field is helpful, • Professional experience in MLOps, ML infrastructure, ML systems, distributed training, GPU programming, or framework-level engineering is highly relevant, • Equivalent hands-on experience with large-scale ML systems, production training workflows, or kernel-level optimization may also be valuable Nice to Have • Experience with distributed training systems, model training pipelines, GPU optimization, performance analysis, or large-scale ML infrastructure, • Familiarity with Pallas, Triton, CUDA-adjacent workflows, XLA, JAX internals, PyTorch internals, or compiler-adjacent ML systems work, • Experience writing technical rubrics, evaluation frameworks, benchmark tasks, or expert-level engineering assessments, • Comfort reviewing complex technical solutions and explaining tradeoffs with clarity and precision, • Availability for high-commitment project work, potentially up to 40 hours per week depending on project scope Why This Opportunity • Apply M precision, • Availability for high-commitment project work, potentially up to 40 hours per week depending on project scope Why This Opportunity • Apply MLOps and ML systems expertise to structured remote project work, • Contribute to high-quality technical task design, solution evaluation, and training infrastructure review, • Work on flexible assignments aligned with your JAX, PyTorch, kernel programming, and ML systems background, • Use your engineering judgment to evaluate complex technical reasoning and framework-level implementation quality, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Eligible professionals should be based in the United States depending on project needs, • High-commitment project availability may be required, potentially up to 40 hours per week during weekdays depending on project scope, • Competitive rates between $60–$100 per hour depending on expertise and project scope, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news. Role Overview We are seeking an AI Engineer to design, develop, and deploy scalable LLM-powered solutions leveraging AWS cloud services, Snowflake, and modern GenAI frameworks. This role focuses on building production-grade AI systems, optimizing LLM inference, and integrating enterprise data platforms with cutting-edge AI technologies. The ideal candidate combines strong cloud engineering expertise with hands-on experience in prompt engineering, foundation models, agentic AI systems, and data pipelines within Snowflake and AWS ecosystems Key Responsibilities AI & Generative AI Development • Design, develop, and deploy LLM-powered applications and agentic AI systems in production environments., • Implement advanced prompt engineering strategies including:, • Prompt chaining and multi-turn orchestration, • Few-shot learning and in-context learning, • Chain-of-Thought (CoT) and Tree-of-Thought (ToT) prompting, • Function calling and tool use optimization, • Structured output generation (JSON, XML schemas), • Build and optimize Retrieval-Augmented Generation (RAG) systems integrating Snowflake data with LLMs., • Evaluate and fine-tune foundation models via AWS Bedrock or other managed AI services., • Develop guardrails for AI systems including hallucination mitigation, grounding, and safety controls., • Implement LLMOps best practices for model lifecycle management:, • Model versioning, deployment, and rollback strategies, • Prompt versioning and experimentation frameworks, • Monitor and observe LLM application performance using observability tools., • Evaluation frameworks for LLM outputs Cloud & Platform Engineering (AWS) Architect scalable AI solutions using AWS services such as: • Bedrock - Sagemaker – Access and fine-tune foundation models, • Lambda – Serverless LLM application deployment, • EC2 – GPU-accelerated inference and batch processing, • Step Functions – Orchestrate complex LLM workflows and agentic pipelines, • CloudWatch – Monitoring, logging, and alerting for AI systems Data Engineering & Snowflake Integration • Build and optimize data pipelines between Snowflake and AI services., • Design feature stores and embeddings pipelines using Snowflake., • Leverage Snowflake's Cortex LLM functions for in-database AI operations., • Implement vector search and semantic search capabilities., • Work with structured and unstructured enterprise data., • Ensure data quality, governance, and security., • Optimize Snowflake queries for AI workloads and cost efficiency. AI Application Development • Build APIs and backend services to operationalize AI solutions., • Integrate LLM/AI systems into internal applications, sales tools, or analytics platforms., • Implement streaming and real-time inference for low-latency AI applications., • Collaborate with stakeholders to translate use cases into production AI systems. Required Qualifications • 5+ years of experience in AI/ML, Software or Data engineering., • Proficiency in Python with solid understanding of ML fundamentals, • Strong hands-on experience with AWS, APIs and microservices architecture, • Experience integrating AI solutions with data systems like Snowflake., • Practical experience with prompt engineering, • Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar, • Experience with agentic frameworks (AutoGen, CrewAI, or equivalent). Preferred Qualifications • Experience building RAG pipelines in enterprise environments., • Knowledge of MLOps best practices., • Experience with vector databases and embeddings., • Familiarity with model evaluation frameworks (e.g., LLM eval metrics)., • Experience implementing AI governance and responsible AI practices., • Background in sales, media, marketing analytics, or enterprise data platforms (a plus). Pay Range $130,000 - $14,000,000 USD TEGNA offers comprehensive benefits designed to safeguard the physical, mental and financial health of our employees and their families. TEGNA offers two medical plan options for full and part-time employees through Blue Cross Blue Shield of Texas, as well as access to dental and eye care coverage; fertility, surrogacy and adoption assistance; disability and life insurance. Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute 1% - 80% of their pay on a pre-tax basis to TEGNA’s 401(k). Contributions made up to the first 4% of pay are eligible for a 100% match from the company and are 100% vested from day one. Regardless of participation in TEGNA medical plans, ALL employees and their eligible family members receive nine free virtual doctor’s appointments with a physician through Teladoc, and 12 free annual therapy sessions with a licensed clinician through Spring Health. TEGNA offers a generous Paid Time Off (PTO) benefit as well as nine paid holidays per year. • Some jobs are covered by a collective bargaining agreement and thus some or all of the benefits described herein may not apply. For example, some newsroom bargaining unit employees receive health and retirement benefits under plans administered by the union. EEO statement: TEGNA Inc. is a proud equal opportunity employer. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. We value and consider applications from all qualified candidates without regard to actual or perceived race, color, religion, national origin, sex, gender, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, disability, medical condition, enrollment in college or vocational school, political affiliation, military or veteran status, citizenship status, genetic information, or any other basis protected by federal, state or local law. TEGNA will reasonably accommodate qualified individuals with disabilities in accordance with applicable law. If you are in need of an accommodation in order to submit your application, please email _ Recruiting Fraud Alert: To all candidates: your personal information and online safety are important to us. Only TEGNA Recruiters or Hiring Managers will reach out to you regarding consideration of your application or background. Communications with TEGNA employees will either come from a TEGNA email address with a domain of tegna.com or one of our affiliate station domains. Recruiters or Hiring Managers will never request payments, ask for financial account information or sensitive information such as social security numbers. _ _

We are looking for a software engineer to join a lean and technical quantitative trading startup. You’ll be responsible for developing and maintaining scalable trading applications and infrastructure for many financial markets and assist with developing the full stack of infrastructure to support trading operations. The role is fast paced, with daily or even more frequent release cycles, and requires a good sense of prioritization between longer and shorter term needs. Within our systems, from hardware drivers to TCP/multicast handlers to Python interfaces, each layer requires custom optimization for latency, bandwidth, or both. An understanding of trade-offs in terms of clock cycles and CPU cache effects is a must. Multi-core/multi-threaded communications using lock-free algorithms will be employed to increase the theoretical computational limit per unit time; consequently, the candidate should have a good grasp of run-time behavior, serialization delays, and asymptotic behavior in this environment. Compensation consists of base salary, discretionary performance bonus, and possible participation in longer-term incentive schemes. \n Skill Requirements • C++11 and higher experience, • Excellent design and debugging skills, • Experience developing for production critical systems, • Excellent communication and prioritization skills Technical Details About Us • Linux shop running modern kernels, • C++20 codebase, Python layer on top, • Technical expertise throughout (everyone programs), • Cloud-scalable research infrastructure Desirable Skills • Experience with Python, • Experience with x86 hardware, • Experience with performance engineering, • Understanding of Intel Xeon pipelining and cache behavior, • Experience with the TCP networking stack, • Experience optimizing Linux kernels / using kernel-bypass networking, • Experience leveraging AWS or similar cloud infrastructure Benefits • Catered meals and bountiful snacks, • Generous budget for home office equipment, • Health / Dental / Vision / 401k, • Fitness and wellness benefits, • Base compensation: $150,000-200,000 with additional discretionary annual performance bonus \n

Description: VAST Data is looking to add a V-Force Developer to our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. VAST Data is looking for a top debugger and developer to join the V-Force team in RTP, NC! The V-Force team is the tip of the sword addressing and debugging critical customer issues and implementing quick fixes and enhancements for our customers. The V-Force team is part of the R&D team and no only works on customer escalations, but also supports customer feature requests, customer POCs and is key to sales enablement. This job requires a special type of person that enjoys understanding complex customer issues and requirements. Requirements: VAST is building the highest-performing file system in the world. This requires innovating all the way into the Linux operating systems that require accessing data at unlimited bandwidth and low latency. We are forming a new team focused solely on Kernel development, collaborating with the upstream community, and setting new industry standards for fast file systems. Requirements System programming in C/C++. Solid networking knowledge (OSI network layers, TCP/IP) Python/Git- advantage Knowledge block-level Storage/file systems — advantage BSc/MSc degree in Computer Science, Engineering or equivalent

Due to the nature of our work in defense, Darkhive does not provide visa sponsorship for this role. Candidates must be eligible to obtain and maintain a security clearance, which usually requires US citizenship. About Darkhive, LLC Established in 2021, Darkhive builds hardware and software solutions designed to seamlessly integrate into the military defense system. We offer tactical uncrewed systems, human-machine interfaces, and software continuous delivery platforms. Darkhive is a company of U.S. Special Operations veterans, engineers, robotics perception experts, DevSecOps, defense technology executives, and superb support staff—above all, we are a mission-first team. We believe that the U.S. and our allies around the world deserve high-quality, affordable tools that keep them safe when each second counts. If you are a free-thinking problem solver who is looking for a highly collaborative and innovative environment, apply with Darkhive today! Senior Embedded Linux Engineer You’ll contribute to full-stack embedded development—from writing low-level Linux drivers to bringing up hardware prototypes in the lab. The work involves integrating high-performance camera sensors, wireless communication modules, and real-time subsystems on modern embedded Linux platforms. You'll be part of a small, fast-moving team shipping systems that operate in real environments, not just test benches. This is a full-time, exempt position reporting to the VP of Engineering. This position is remote with travel up to 25% to our company headquarters or other locations. Key Responsibilities • Develop and maintain Linux kernel drivers and low-level system software for embedded compute platforms, wireless modules, and custom MIPI image sensors, • Build and integrate software stacks for Wi-Fi and RF communication modules, including power management, firmware bring-up, and regulatory tuning, • Port and debug embedded Linux builds on Qualcomm Snapdragon platforms (Yocto, AOSP experience a plus), • Work with device trees, bootloaders, and system bring-up for new hardware platforms, • Perform hardware-software integration, including camera tuning, I2C/SPI debug, and scope/logic analyzer work, • Collaborate with hardware and mechanical teams to validate new designs and support board bring-up, • Support integration and troubleshooting efforts for customers using our hardware, including driver-level debugging and system-level recommendations, • Troubleshoot and optimize embedded systems for performance, stability, and RF compliance Requirements • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field (or equivalent practical experience), • Strong experience with Linux kernel development, kernel module creation, and driver debugging, • Solid understanding of MIPI CSI interfaces, camera sensor integration, and V4L2 pipeline, • Familiarity with wireless driver stacks (Wi-Fi/BT), including wpa_supplicant/hostapd and RF tuning, • Hands-on experience with embedded Linux platforms (e.g., Qualcomm Snapdragon, NXP i.MX, or similar), • Proficient with embedded toolchains, cross-compiling, and kernel/u-boot customization, • Comfortable working with hardware prototypes, schematics, oscilloscopes, and logic analyzers Preferred Qualifications • Experience with custom PCB bring-up and low-level hardware debugging, • Familiarity with sensor initialization via I2C/SPI and power sequencing, • Exposure to antenna tuning or RF compliance testing for wireless modules, • Experience with camera tuning (gain, exposure, white balance) or GStreamer pipelines, • Proficiency with Yocto or Buildroot for embedded Linux build automation, • Experience with JTAG/SWD debuggers, bootloader recovery, or automated hardware tests, • Knowledge of edge AI model deployment, • Familiarity with USB gadget drivers, PCIe or SDIO peripherals, or low-level protocol analyzers, • Direct experience in the Uncrewed Aircraft Systems (UAS) or robotics industry., • U.S. Military Veteran experienced with tactical equipment from a user or developer perspective., • Active Security clearance, • Prior experience in a fast-paced, startup environment Physical and/or Mental Requirements • Ability to sit and/or stand for periods of time., • Ability to use a keyboard, mouse, and other equipment with or without accommodations., • Ability to maintain awareness during business hours., • Ability to lift up to 15 pounds., • Excellent written and verbal communication and good command of the English language., • Learns and memorizes routine tasks., • Reasonable accommodations will be provided to any person with a disability to be able to perform the essential job functions of this position., • Darkhive retains the right to change or assign other duties as required for this position. Selection Process: • Hiring team reviews applications, • 15-minute pre-screen with Darkhive recruiter, • 30-minute phone screen with the hiring manager, • Take home project, • In-person or video interview with hiring team Benefits Darkhive offers: • Comprehensive medical plans, • 100% employer paid dental and vision insurance premiums, • Automatic 401k employer contribution with vesting, • Paid vacation and personal time off, • 11 Paid holidays, • 5 days of sick leave, • Stock options, • Welcoming and friendly work environment, • Respect of work-life balance Darkhive is an equal-opportunity employer and prohibits discrimination and harassment against any employee or applicant because of race, color, gender (including pregnancy), age, gender identity, creed, religion, national origin, sexual orientation, marital status, genetic information, disability, political affiliation, protected veteran status, or any other status protected by federal, state, or local law.

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions. We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. Join our Network Operating System team to build and optimize NOS platforms supporting both SONiC and FBOSS for Cornelis Networks' next-generation switch ASIC platforms. This role combines deep platform integration work—including hardware bring-up, BSP development, and ASIC driver integration—with NOS control plane and data plane development. You'll work collaboratively with hardware, firmware, and SAI/SDK teams to deliver high-performance, production-ready network operating systems. You'll work in an AI-first development environment, leveraging cutting-edge tooling to maximize productivity and impact. Key Responsibilities • NOS Platform Integration: Lead platform porting and BSP development for switch ASIC platforms, including hardware bring-up, driver integration, and platform-specific adaptations, • Hardware Integration: Integrate and validate ASIC drivers, optics/transceiver management, thermal/power management, and BMC/baseboard interfaces, • Multi-NOS Support: Design platform abstractions and implementations to support both SONiC and FBOSS architectures, • NOS Development: Design and implement control plane and data plane components for SONiC and FBOSS, ensuring seamless operation with underlying hardware, • Platform Services: Develop and maintain platform services and daemons for hardware monitoring, configuration, and management, • SAI/SDK Integration: Collaborate with SAI/SDK team to integrate switch abstraction layer with SONiC and FBOSS architectures, • Test Infrastructure: Build and maintain test frameworks, automation, and CI/CD pipelines for NOS platform validation; write comprehensive unit and integration tests, • Performance Optimization: Profile and optimize NOS performance for latency, throughput, and resource utilization, • Open Source Collaboration: Engage with the SONiC and FBOSS open-source communities, contribute improvements where applicable, and stay current with upstream developments, • Technical Collaboration: Work closely with hardware, firmware, and systems teams to resolve integration issues and define platform requirements, • AI-First Development: Leverage AI coding assistants and emerging tooling to accelerate development velocity and code quality Minimum Qualifications • BS in Computer Science, Computer Engineering, or related field, • 7-10 years of software engineering experience, • Strong proficiency in C/C++ and Python, • Linux systems programming and networking stack experience, • Switch/networking hardware experience OR network operating system development experience, • Strong debugging and problem-solving skills for complex hardware/software integration issues, • Excellent communication and collaboration skills, • Commitment to AI-first development practices and continuous learning of emerging AI tooling Preferred Qualifications • SONiC platform development experience (strongly preferred), • FBOSS experience (highly desirable), • Linux kernel and driver development experience, • Network protocol implementation experience (L2/L3 switching, routing, BGP, OSPF), • Switch ASIC/SDK integration experience, • Experience with platform services and daemons (SONiC platform daemons, FBOSS agents, or similar), • Hardware/ASIC architecture understanding, • Performance optimization and profiling experience (perf, gprof, valgrind, etc.), • Open-source contribution history (SONiC, FBOSS, or other networking projects), • Technical leadership and mentoring experience, • Experience with AI-assisted development tools (GitHub Copilot, Cursor, or similar), • Familiarity with test automation frameworks and CI/CD systems, • Experience with platform bring-up, BSP development, or embedded Linux systems Location: This is a remote position for employees residing in the United States. At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives. In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave. Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

_ mission is enabling the world to connect, communicate and collaborate securely without compromise. COVID-19 has made our mission all the more real. We support customers across various enterprises including Fortune 500 companies, 9/10 of the largest global banks and the Department of Defense. The world has fundamentally changed. We are growing from 400 employees into the next phase of our journey, and we need passionate talent filled with empathy and agility. The right candidate for the job is ethical, hyper-organized, fanatical about seeing things through to completion, service-oriented, and humble enough to take feedback and coaching yet confident enough to provide feedback and coaching. Menlo is well-funded for growth and our investors are second to none. They include Vista Equity Partners (“_”), General Catalyst, JPMC, American Express, HSBC, and Ericsson Ventures. Role Overview We are seeking a forward-thinking Security Engineer to join our team, focusing on SecOps for the cloud architecture supporting the product. In this role, you will operate across a complex, multi-cloud environment (AWS & GCP) comprising both traditional VMs and modern managed and unmanaged container-based architectures. As part of a lean team, your primary focus will be on the aggressive automation of security processes. You will be responsible for deploying, integrating, and monitoring Jenkins and GitLab pipelines to ensure that "Security as Code" scales seamlessly alongside our infrastructure. This includes the strategic deployment and management of CSPM, CNAPP, and CWPP tools to act as a force multiplier for the team. Your operational cadence must be built on speed and automation over manual triage. Success requires you to continuously tune alerting to ensure high-fidelity signals, reduce alert fatigue, and build automated response workflows. Ultimately, you will conduct rigorous infrastructure reviews to ensure that cloud configurations, IAM policies, and orchestration layers meet our security baselines while maintaining rapid release velocity. Key Responsibilities ● Multi-Cloud Governance (AWS & GCP): Deploy and manage Cloud Security Posture Management (CSPM) tools to automatically detect and remediate misconfigurations across both providers. ● Container Security Lifecycle: Implement Cloud Native Application Protection Platform (CNAPP) strategies by shifting left and integrating container image scanning directly into Jenkins and GitLab pipelines. ● Workload Protection: Deploy and tune Cloud Workload Protection Platform (CWPP) tools to monitor runtime behavior and detect anomalies in both VMs and Kubernetes pods. ● Advanced Automation & SOAR: Build Automated Response Playbooks to automatically enrich alerts, isolate compromised resources, and dismiss low-fidelity noise without human intervention. ● Infrastructure Review & Identity: Manage effective permissions across complex multi-cloud IAM structures and standardize secret management workflows. ● Release Readiness & Customer Trust: Collaborate closely with Technical Program Managers (TPMs) during software releases to enforce compliance standards and oversee vulnerability scanning. Additionally, respond to customer inquiries regarding the impact of Common Vulnerabilities and Exposures (CVEs) on our product. Required Skills & Qualifications ● Multi-Cloud Fluency: Deep architectural understanding of GCP and AWS, with the ability to manage complex IAM policies, standardizing identity, and securing networking layers across both providers. ● Security Automation: Proficiency in Python, Go, or Bash to write custom scripts that eliminate toil, build auto-remediation playbooks, and streamline security operations. ● Infrastructure as Code (IaC): Experience developing secure Terraform modules and primitives for the organization to stem from, ensuring security defaults are baked into the architecture and catching misconfigurations before deployment. ● Developer Enablement: Design and maintain shared CI/CD security components (SAST/SBOM/Container Scanning) that are easily adoptable by engineering teams with minimal friction. ● Container Security: Proven experience securing managed (EKS, GKE) and unmanaged container workloads, with a strong emphasis on automating runtime defenses and admission controllers. ● Pragmatic Mindset: The ability to operate pragmatically within a lean team, knowing how to prioritize risk based on runtime context and business impact rather than just chasing scanner outputs. ● Privileged Access Management: Proven ability to implement and manage Just-In-Time access policies to replace manual ticket and eliminating standing privileges. ● Federal Compliance & Citizenship: Due to the role’s involvement in federal compliance activities, the candidate is required to be a US citizen. Bonus Points ● Orchestration & Event-Driven Automation Expert: Proven experience designing and deploying fully automated security systems using AWS Step Functions or Google Cloud Workflows. You have a track record of building event-driven architectures that orchestrate complex, multi-stage security workflows such as automatically triggering vulnerability scans upon resource creation, aggregating and filtering reporting data, and routing high-fidelity, actionable alerts to Slack, Grafana, and other external platforms. ● Performance-Aware Security Engineering: Experience troubleshooting and tuning security agent performance to balance deep visibility with system stability, specifically preventing CPU/Memory exhaustion in high-traffic proxy environments. ● Linux Security: Understanding of Linux security primitives, specifically the use of MAC (Mandatory Access Control) like AppArmor or SELinux, DAC (Discretionary Access Control), and Linux kernel capabilities Our Compensation and Benefits At Menlo Security, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $105,000 - $185,000. In accordance with NY, CO, CA, and WA law, the range provided is Menlo Security’s reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become Menlo Security shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. Menlo Security does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Menlo Security. Menlo Security is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. MSGL-I4 Why Menlo? Our culture is collaborative, inclusive, and fun! We have five core values: Stay Aligned, Get It Done, Customer Empathy, Think Creatively and Help Each Other Out. We believe in open communication, supporting new ideas, and sharing a mutual mindset of what we’re aiming to achieve together. There are tremendous opportunities to take initiative, implement new ideas, and have a hand in building a legacy. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Security’s policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.

Why join Freenome? Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. Founded in 2014, Freenome has ~400 employees and continues to grow to match the scope of our ambitions to provide access to better screening and earlier cancer detection. At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count. Become a Freenomer Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time. About this opportunity: At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote. What you’ll do: • Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.), • Build new models or fine-tune existing models to identify biological changes resulting from disease, • Build models that achieve high accuracy and that generalize robustly to new data, • Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms, • Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration, • Take a mindful, transparent, and humane approach to your work Must haves: • PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics, • 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques, • Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling, • Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, • Practical and theoretical understanding of DL models like large language models or other foundation models, • Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning, • Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data, • Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc., • Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face, • Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases, • Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations, • Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists, • A passion for innovation and demonstrated initiative in tackling new areas of research Nice to haves: • Deep domain-specific experience in computational biology, genomics, proteomics or a related field, • Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models, • Experience in NGS data analysis and bioinformatic pipelines, • Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS, • Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems Benefits and additional information: The US target range of our base salary for new hires is $199,675 - $302,400. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ _ for additional company information. Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Applicants have rights under Federal Employment Laws. • _, • _, • _ #LI-Remote

👋Hello, we’re Instrumentl. We’re a mission-driven startup helping the nonprofit sector to drive impact, and we’re well on our way to becoming the #1 most-loved grant discovery and management tool. About us: _ is a hypergrowth YC-backed startup with over 4,000 nonprofit clients, from local homeless shelters to larger organizations like the San Diego Zoo and the University of Alaska. We are building the future of fundraising automation, helping nonprofits to discover, track, and manage grants efficiently through our SaaS platform. Our charts are dramatically up-and-to-the-right 📈 — we’re cash flow positive and doubling year-over-year, with customers who love us (NPS is 65+ and Ellis PMF survey is 60+). Join us on this rocket ship to Mars! About the Role As a Sr. Software Engineer, GenAI at Instrumentl, you’ll own the full lifecycle of AI features—from rapid prototyping to production deployment and ongoing evaluation. You will build agentic LLM systems that can plan and use tools, implement RAG pipelines over our domain data, manage and evolve embeddings and indices, and stand up evaluation/observability so our AI is grounded, safe, and cost‑effective. Our ideal candidate is a strong software engineer, has experience building AI features and most importantly eager to learn, willing to experiment, and excited to empower both teammates and customers to accelerate social progress and propel innovation. You’ll embed with one of the above groups in a hands-on role, collaborating closely with Product and Design, while partnering with DTI on platform‑level AI capabilities. The Instrumentl team is fully distributed (though if you’d like to work from our Oakland office, we would love to see you there). For this position, we are looking for candidates based in the United States who have significant overlap with Pacific Time Zone working hours. Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets. Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance. Own RAG end‑to‑end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding. Continuously improve recall/precision while managing index health. Collaborate cross‑functionally while raising engineering standards: Work side by side with Product, Design, and GTM on scoping, UX, and measurement; run experiments (A/B, canaries), interpret results, and iterate. Write clear, maintainable code, add tests and docs, and contribute to reliability practices (alerts, dashboards, incident response). Software engineering background: 7+ years of professional software engineering experience, including 1+ years working with modern LLMs (as an IC). Startup experience and comfort operating in fast, scrappy environments is a plus. Hands-On: you’ve used Python (FastAPI or equivalent) PostgreSQL or any relational language, Redis etc, and you’re open to adopting new tools to get the job done. Data chops: Comfortable with SQL, schema design, and building/maintaining data pipelines that power retrieval and evaluation. Infrastructure & languages: Proficiency in Python (FastAPI, Celery) and TypeScript/Node; familiarity with Ruby on Rails (our core platform) or willingness to learn. Experience with AWS/GCP, Docker, CI/CD, and observability (logs/metrics/traces). LLM agentic systems: Experience building tool/function‑calling workflows, planning/execution loops, and safe tool integrations (e.g., with LangChain/LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration). Collaborative approach: You thrive in a cross‑functional environment and can translate research ideas into shippable, user‑friendly features. Results‑driven: Bias for action and ownership with an eye for speed, quality, and simplicity. RAG expertise: Strong grasp of document ingestion, chunking/windowing, embeddings, hybrid search (keyword + vector), re‑ranking, and grounded citations. Experience with re‑rankers/cross‑encoders, hybrid retrieval tuning, or search/recommendation systems. Evaluation mindset: Comfort designing eval suites (RAG/QA, extraction, summarization), using automated and human‑in‑the‑loop methods; familiarity with frameworks like Ragas/DeepEval/OpenAI Evals or equivalent Why You’ll Love Working Here Join a mission-driven, product-led team that values curiosity, collaboration, and clear outcomes Work closely with leaders who believe in bold ideas, fast learning, and empowering people to do their best work Play a direct role in shaping the team and culture that will take Instrumentl to its next stage of growth For US-based candidates, our target salary band is $175,000 - $220,000 USD + equity. Salary decisions consider experience, location, and technical depth. 100% covered health, dental, and vision insurance for employees (50% for dependents) Generous PTO, including parental leave 401(k) Company laptop and home-office stipend Bi-Annual Company Retreats for in-person collaboration Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow here. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

VetsEZ is in search of a Senior VistA MUMPS Developer, a unique opportunity to contribute to the Department of Veterans Affairs (VA) Health Data Management (HDM) project. This role involves managing a diverse range of software products, middleware platforms, system integrations, and health data integrations, with a specific focus on the VistA electronic health record system. The candidate must reside within the continental US. Responsibilities: • Write, modify, and maintain clean, scalable MUMPS code for the VistA system., • Implement new functionalities based on user requirements and propose system enhancements., • Maintain system performance and address security vulnerabilities., • Address defects, produce bug fixes, and remediate POA&M’s., • Integrate VistA with other healthcare systems, ensuring seamless data exchange using HL7 and other protocols., • Design, develop, and manage databases within the VistA environment., • Provide technical support, troubleshoot issues, and communicate system functionalities to users., • Participate in code reviews, quality assurance activities, and enhance the M-Unit framework with the VistA-Kernel module., • Keep up to date with MUMPS programming and healthcare IT advancements. Requirements: • Bachelor’s degree in information technology, Computer Science, Electronics Engineering, or other Engineering or technical discipline., • 8 plus years of experience in IT and/or Federal Government contracting., • Proven experience as a MUMPS developer within VistA., • Kernel Experience to include: TaskMan, MenuMan, Alerts, KIDS, • Experience with FileMan and MailMan, • RPC Broker experience, to include the client and server. (Client is written in Delphi and is known as the Broker Development Kit, the server is written in Mumps), • Familiarity with Agile frameworks and regression testing., • Excellent analytical and organizational skills., • An ability to understand front-end users' requirements and a problem-solving attitude., • Results-oriented and committed to delivering high-quality software on time. Additional Qualifications: • Ability to obtain a government clearance., • SAFe/Scrum certification is preferred. Benefits: • Medical/Dental/Vision, • 401k with Matching, • Corporate Laptop, • PTO + Federal Holidays, • Training opportunities, • Remote work options Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time.

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions. We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. We are seeking an experienced Senior Software Engineer to design, develop, and optimize middleware for storage applications on CN platforms. This role focuses on improving performance, scalability, and reliability for customer storage environments and enabling storage software to run effectively over Cornelis Networks solutions. The ideal candidate has strong experience in C/C++ on Linux, performance-focused systems software, and storage technologies. Key Responsibilities • Own the design and development of middleware for storage applications on CN platforms, with a focus on performance, scalability, and production readiness., • Work with customer-relevant storage technologies (Lustre, WEKA, BeeGFS, DAOS, etc.) to improve integration, resolve performance issues, and enable strong end-to-end behavior in distributed environments., • Analyze storage workloads, reproduce issues, develop benchmarks, and deliver fixes or enhancements based on real customer use cases and measured system behavior., • Collaborate across kernel/driver, firmware, fabric management and performance teams to support product development, ecosystem enablement, and advanced customer escalations., • Participate in design reviews, code reviews, CI, and long-term maintenance., • Contribute upstream open-source storage software projects where appropriate., • Operate as a self-motivated "owner," taking full responsibility for features from initial ideation through to remote deployment and maintenance., • Execute with precision in a fast-paced culture, balancing the need for rapid shipping with the long-term stability required for networking & storage infrastructure Minimum Qualifications • Experience in high-performance systems programming in C/C++ on Linux., • Experience developing, debugging, or optimizing storage middleware or related high-performance software., • Familiarity with storage technologies such as Lustre, WEKA, BeeGFS, DAOS, or similar distributed storage platforms., • Experience analyzing system stability and performance, identifying bottlenecks, and delivering production-quality fixes and improvements., • Strong collaboration skills and the ability to work across software, hardware, and customer-facing engineering teams. Preferred Qualifications • Experience with distributed storage environments at cluster scale., • Experience contributing to open-source software or working in upstream-facing engineering environments., • Familiarity with performance testing, benchmarking, and tracing tools., • Experience supporting customer deployments or handling complex escalations., • AI-First Engineering: Demonstrate a "proven AI-first" mindset by integrating advanced AI coding assistants and LLMs into the daily software development lifecycle to 10x output., • Technological Passion, Stay at the bleeding edge of AI research, proactively identifying opportunities to apply new LLM capabilities to networking hardware and software stacks. Location: This is a remote position for employees residing in the United States. At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives. In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave. Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. What you will do: As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful impacts in the world of travel. Your responsibilities: • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases., • Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits., • Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency., • Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases., • Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy., • PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field., • 10+ years of experience with developing machine learning models and products at scale from inception to business impact., • Programming experience in Python and hands-on experience with frameworks such as PyTorch., • Proven record of training, fine tuning, optimizing models and inference run-time, • Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling., • Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development, • PhD in AI, machine learning, data science, or related technical fields. Publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). • Customer Support Systems: Experience with AI technologies in customer support applications., • Agile Practice for AI production: Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain., • Infrastructure Acumen: Experience deploying and scaling business-critical AI services and driving architectural requirements on ML infrastructures Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. _ . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: _. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

AURA TECHNOLOGIES, LLC (AURA) is an advanced research and development (R&D) company creating game-changing innovations for the US Department of Defense and the private sector in cutting-edge technology. If you are a smart, capable, and talented individual who possesses high integrity, thrives in a fast-paced environment, wants to chart your own course based on your capabilities, and is willing to be accountable for failures and successes, then continue reading because you may be the ideal candidate to join our exponentially growing R&D business. Bigger challenges. Bolder ideas. Global impact. At AURA Technologies, LLC we’re on a mission to deliver solutions with the capacity to change the world. We’re a North Carolina company behind some of the world’s most unique technology in government, hi-tech, AI, commercial and healthcare services. Our technology is bridging the digital divide to improve lives for our customers around the globe. By providing powerful new ways for people to connect with one another, we support our clients to gain greater access to data, decision making, medical research, commerce, and much more. Our team is empowering customers worldwide. At AURA Technologies, we are excited to announce a new opening for a dedicated security architect in our dynamic team. You will lead the implementation of a new embedded cybersecurity platform. You will translate detailed security specifications into implementation-level designs and working code for a hardened Intel/Linux appliance deployed in air-gapped OT environments. This is a greenfield implementation. You will be writing the most security-sensitive components of the system from the ground up, including: • Cryptographic key management services with hardware-rooted trust • Certificate lifecycle management for offline and network-constrained environments • Secure boot chain and platform integrity verification • OS-level hardening and mandatory access control configuration • Integration with hardware security elements and platform trust anchors You will work directly with the Chief Architect (PhD, Computer Science, 25+ years in systems and security) and will be instrumental in building out the engineering team, helping recruit, mentor, and establish the technical practices for the developers who will maintain and extend your work. Requirements and Skills • Embedded Linux. Deep, hands-on experience with custom embedded Linux systems-- including kernel configuration, initramfs, systemd, disk encryption, and mandatory access controls (SELinux or AppArmor)--sufficient to architect secure system designs, define implementation standards, and provide authoritative technical guidance to the engineers responsible for building and maintaining production Linux images. You have built or substantially modified production bare-metal Linux images, not just deployed containers on cloud VMs., • TPM 2.0 and hardware root of trust. Working experience with TPM-based security: secure boot, measured boot, platform integrity, key sealing, and attestation. You understand the TPM 2.0 architecture and have used it in practice., • Air-gapped and OT environments. Experience designing or deploying systems in disconnected, high-assurance, or industrial control environments. You understand the constraints of operating without cloud connectivity and the implications for key management, certificate lifecycle, and software updates., • PKI and X.509. Substantive experience with public key infrastructure: certificate chains, validation, revocation, and certificate profiles. You do not need to be a CA administrator, but you need to understand the role of PKI in system identity and trust establishment., • Systems programming. Strong proficiency in C or C++ for systems-level work. You are comfortable reading kernel code, debugging with strace and gdb, and reasoning about memory safety, concurrency, and process isolation., • US Citizenship and ability to pass a background investigation. Highly Desirable • Rust. Production experience writing Rust for systems or embedded targets. Rust is the primary implementation language for this project. If you are a strong C/C++ systems developer without Rust experience, we will invest in your transition — the language is the easy part when the systems thinking is already there., • Cryptographic engineering. Practical experience with cryptographic libraries (OpenSSL, tpm2-tss, PKCS#11), secure protocol implementation, or hardware security module integration., • OT security standards. Familiarity with security standards applicable to industrial and critical infrastructure environments (e.g., IEC 62443, NIST 800-82, or equivalent). Not Required • Security clearance (none needed for this role) • Cloud or SaaS experience • Web application security • CISSP or similar management-oriented certifications What You Will Not Be Doing • Administering PKI infrastructure (separate role) • Cloud architecture or DevOps • Penetration testing or red-teaming (though your threat modeling instincts will be valued) • Front-end or UI development Why This Role • Greenfield architecture. You are building from a clean sheet, not maintaining legacy code. The security architecture is thoroughly specified; your job is to bring it to life., • Genuinely hard problems. Hardware-rooted key management, tamper-responsive security, and certificate lifecycle in offline environments — this is not checkbox compliance work. These are real engineering challenges with real security consequences., • Research culture. AURA is an R&D company. We pursue SBIR, STTR, and applied research projects across multiple disciplines. Engineers are encouraged to champion research directions they are passionate about., • Autonomy and ownership. As the first security-focused developer on this platform, you will shape the implementation approach, tooling, and technical culture for the team that follows. BENEFITS: • Fortune 500-level Health Care Coverage, • Unlimited Leave Program after 60 days, • 10 Paid holidays & Paid Winter Break, • 401(k) Safe Harbor Contributions, • Employee Discount Program Submit your resume/CV in PDF format via instructions at the following link: _ No phone calls after submission. We will let candidates know via automated reply that we have received their resumes and will contact them if there is a good fit after the closing date for this job. AURA Technologies, LLC is an Equal Opportunity Employer and affirmative action employer of veterans protected under the Vietnam Era Veterans’ Readjustment Assistant Act (VEVRAA). We are a Drug Free Workplace and thus, all job offers are contingent on successful criminal background check and drug screen. As a US Federal Contractor, AURA uses the Department of Homeland Security e-Verify system to determine eligibility to legally work in the United States. Write a carefully crafted, well-written cover letter that elaborates on your interest in this position and why you think you are the best candidate for the job. Submit your cover letter, CV and three professional references (one of which must be from a current or former supervisor) in PDF format ONLY via BambooHR. Any attachments must be in PDF format or will not be opened due to virus concerns. No phone calls after submission. We will let candidates know via automated reply that we have received their resumes and will contact them if there is a good fit after the closing date for this job.

Kilpatrick Townsend & Stockton LLP is a premier Am Law 100 multinational law firm with 22 offices worldwide, known for its intellectual property, corporate litigation, and technology practices. The firm's AI Innovation team builds and ships production AI systems that serve hundreds of users across the firm and is expanding to a client-facing portal. We work with the latest platforms from Anthropic and Microsoft, run agentic workflows in production, and maintain a growing network of Model Context Protocol (MCP) integrations that connect AI agents to enterprise systems. This is a small team with startup-like autonomy inside a global enterprise. At Kilpatrick we are one team where each person plays an integral role in serving the needs of our clients. The firm has a strong dedication to its employees, values, and commitment to the community. We are looking for a Senior AI Developer, fully remote, to help shape the future of AI at the firm. This is an individual contributor role with significant technical ownership. You will design and deploy agentic AI systems, scale our internal platforms, extend our MCP infrastructure, and help define the technical roadmap for AI adoption. Our AI systems are in production today, serving the firm at scale. We are looking for someone who is ready to contribute immediately to an active, fast-moving development environment. Your first 6 to 12 months will focus on: • Scaling document intelligence and RAG pipelines to handle millions of enterprise documents with high retrieval accuracy, • Expanding agentic workflows and AI skills that automate complex, multi-step legal and operational tasks, • Strengthening the MCP integration layer with new tool connections, improved security, and increased reliability What You Will Do • Help define the technical roadmap for AI adoption, contributing to build-vs-buy decisions, vendor evaluations, and architectural direction, • Architect multi-agent systems and agentic workflows using tool use, function calling, planner-executor pipelines, agent swarms, and autonomous task decomposition, • Build and maintain AI skills: self-contained automation workflows that run in their own execution context with quality assurance verification, • Design context management strategies including RAG, semantic search, vector embedding pipelines, conversation compaction, long-term memory management, and grounding, • Extend our MCP server network with new tool integrations, dynamic server discovery, gateway architectures, OAuth 2.1 auth flows, audit logging, and sandboxed execution, • Build real-time streaming interfaces that surface AI-generated insights, citations, and structured outputs, • Engineer solutions for large-scale data challenges across millions of documents, patent databases, and enterprise systems, • Implement guardrails, evaluation pipelines, and data governance standards appropriate for a regulated legal environment, • Evaluate and integrate new models, APIs, and capabilities as they ship from Anthropic, Microsoft, and other providers Our Stack Anthropic (Claude, Agent SDK, MCP) | Azure OpenAI | Azure AI Foundry | Semantic Kernel | Azure AI Search | Azure Document Intelligence | C# / .NET | React / TypeScript | Node.js | SQL Server | SignalR | SSE Streaming Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field preferred, • Demonstrated experience building agentic AI systems with tool use, function calling, and multi-step workflow execution in production, • Strong working knowledge of the Anthropic platform (Claude models, Messages API, streaming, extended thinking, Claude Agent SDK), • Experience with Microsoft AI services (Azure OpenAI, Azure AI Foundry, Semantic Kernel, or related offerings), • Experience with MCP or similar AI-to-tool integration frameworks (LangChain, LlamaIndex, CrewAI, custom pipelines, or equivalent), • Experience building RAG pipelines, semantic search, and document intelligence workflows at scale, • Proficiency with real-time streaming architectures (SSE, WebSockets, Streamable HTTP) and enterprise auth (OAuth 2.0/2.1, Azure AD/Entra ID), • Ability to work across the stack: backend APIs, streaming infrastructure, frontend interfaces, • Proficiency with AI-native development platforms (Claude Code, GitHub Copilot, Cursor, or similar) over expertise in any single language, • Track record of independently solving complex, ambiguous problems and shipping working solutions Preferred Qualifications • Understanding of ML fundamentals: fine-tuning (LoRA, QLoRA, PEFT), evaluation metrics, NLP tasks, and MLOps/LLMOps practices, • Familiarity with ML frameworks (PyTorch, Hugging Face Transformers, scikit-learn), • Experience with large-scale data processing: millions of documents, vector embedding pipelines, enterprise databases, • Knowledge of large law firm operations, IP workflows, or enterprise document management systems (iManage, NetDocuments) What Success Looks Like In your first year, you will have: • Expanded the reach of our AI platforms across users, use cases, and connected enterprise systems, • Shipped production agentic workflows that complete complex tasks with minimal human intervention, • Improved retrieval accuracy and reduced hallucination rates in RAG pipelines over large document corpora, • Built new MCP integrations that connect AI agents to previously inaccessible enterprise data, • Contributed evaluation pipelines, monitoring, and guardrails that increase confidence in shipping faster Why KT • Production AI at scale. Our AI platforms are in daily use across the firm, with a clear roadmap for continued expansion., • Modern technology stack. Work with the latest platforms from Anthropic and Microsoft, including production MCP integrations and agentic workflows., • Autonomy and ownership. Significant influence over technical decisions, architecture, and the direction of AI at the firm., • Global reach. Serve attorneys and professionals across 22 offices worldwide and a client-facing AI portal., • Competitive compensation and comprehensive benefits commensurate with the market for senior AI talent. This is a full-time, regular position with a multi-faceted health benefit package including medical, dental, and vision. The firm also offers life insurance, short term disability plans and retirement plans in addition to holidays and paid time off. The firm offers hybrid work schedules combining in office work days as well as remote work days. The pay range for this position in California only is $180,000 to $250,000 annually. Selected applicants will be contacted. Kilpatrick is an Equal Opportunity Employer. For more information about our firm, please visit our website at _. Kilpatrick Townsend & Stockton LLP is committed to equal employment opportunity for all persons, regardless of race, color, religion, sex or gender, national origin, age, veteran status, disability, sexual orientation, gender identity, or any other basis prohibited by applicable law. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

About the Company Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. Named one of Fast Company's Most Innovative Companies, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense. With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us. Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world. About the role As Senior Technical Partner Manager, you are the technical owner of Armada's most important partner relationships across the full stack — from silicon and hardware OEMs (NVIDIA, Dell, HPE, Supermicro, Intel, AMD) to hyperscalers and ISVs (AWS, Azure, GCP, Databricks, and the AI/ML ecosystem). You translate between Armada engineering and our partners' engineering, product, and field teams; you design the joint solutions, reference architectures, and enablement assets that make our partners successful selling, deploying, and supporting Armada; and you build the operational rails that let those relationships scale as we grow. You will be the person a partner CTO calls when they need to understand how Armada fits, and the person an Armada PM calls when a partner's roadmap is about to change the shape of ours. You will hold your own in a deep technical conversation with engineers and just as comfortably in a commercial conversation with a partner's alliance team, channel chief, or procurement lead. Location. This role is remote-based. What You'll Do (Key Responsibilities) Own the technical relationship • Serve as the primary technical point of contact for a portfolio of strategic partners spanning hardware OEMs, silicon vendors, hyperscalers, and ISVs., • Act as Armada's technical voice with partner engineering and product organizations; act as the partner's technical voice inside Armada., • Build trusted relationships with partner CTOs, chief architects, solution architects, and alliance leaders. Design joint solutions and reference architectures • Lead the design of joint reference architectures, integrations, and co-engineered solutions that combine Armada's edge platform with partner hardware, software, and cloud services., • Partner with Armada product and engineering to prioritize integration work; partner with partner engineering to land it on both roadmaps., • Run hands-on technical validation — PoCs, bake-offs, interop testing — and translate results into clear, decision-ready narratives for both sides. Build processes that scale in parallel to execution • Design the operating system for technical partnerships at Armada: intake, qualification, technical deep-dives, architecture reviews, enablement, escalation paths, QBRs, and exit criteria., • Stand up repeatable enablement: partner technical training, certification paths, architecture guides, demo environments, and reference deployments., • Instrument the program with metrics that matter — integration velocity, joint pipeline sourced and influenced, time-to-first-deployment, partner NPS, certified-SE headcount — and iterate the process against them. Translate complexity, teach, and evangelize • Explain the Armada platform — hardware, orchestration, networking, security model, AI/ML stack — simply and accurately to audiences ranging from a partner's CFO to their kernel engineer., • Build the teaching materials, whiteboards, and talk tracks that let partners sell and support Armada without needing you in the room., • Represent Armada at partner events, technical councils, webinars, and joint customer engagements. Bridge technical and commercial • Shape the commercial contours of partnerships — joint GTM, solution SKUs, services attach, co-sell motions — in lockstep with Armada's alliances, sales, product, and finance leaders., • Negotiate technical terms in partnership agreements: integration scope, roadmap commitments, interop SLAs, support handoffs, IP boundaries., • Drive joint pipeline and unblock deals where the hard question is technical, architectural, or operational. Required Qualifications • 8–12+ years of experience in technical partner management, partner solutions architecture, alliances engineering, or a closely related hybrid technical/commercial role at an infrastructure, cloud, OEM, or deep-tech company., • Strong technical literacy across infrastructure — both software and hardware. You can credibly discuss server and networking hardware, GPUs and accelerators, virtualization and containers, Kubernetes, Linux, storage, observability, networking (including private 5G, SD-WAN, and satellite), identity and security, and modern AI/ML inference and data pipelines., • A track record of balancing speed and precision and knowing which of the two matters more in each moment., • Proven ability to design and stand-up processes that scale in parallel to execution — not after it. You build the rails while running the train., • A gift for explaining complexity simply and teaching complex concepts. You adjust altitude naturally: zoom into a packet trace with a partner engineer, then zoom out to a one-slide architecture for an EVP., • Comfort holding your own in a technical conversation with engineers — and equal comfort in commercial conversations with partner alliance, channel, and procurement teams., • Experience driving joint reference architectures, co-engineered solutions, or technical certifications with major ecosystem partners (examples: NVIDIA, Dell, HPE, Supermicro, Intel, AMD, Cisco, AWS, Azure, GCP, Databricks, VMware, Red Hat)., • Strong written communication — you can produce a reference architecture, a technical FAQ, and a tight exec memo in the same week., • Willingness to travel ~25–40% to partner sites, customer deployments, and industry events. Preferred Experience and Skills • Hands-on background as a solutions architect, systems engineer, field engineer, or infrastructure engineer earlier in your career., • Edge, telco, defense, energy, maritime, or other non-traditional cloud environments in your resume., • Experience operating inside or across partner programs at Dell, Microsoft, Cisco, NVIDIA, AWS, or a comparable company., • AI/ML inference at the edge, MLOps, or model deployment experience., • Comfort with regulated, air-gapped, or sovereign environments., • Technical certifications (e.g., CCIE, AWS/Azure/GCP Solutions Architect, NVIDIA Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits • Competitive base salary and equity, • Medical, dental, and vision (subsidized cost), • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA), • Retirement plan options, including 401(k) and Roth 401(k), • Unlimited paid time off (PTO), • 14 paid company holidays per year #LI-AB1 #LI-Remote Compensation $163,040 - $203,800 USD You're a Great Fit if You're • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge, • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude, • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company, • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda, • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. Come join us. Job Summary: The OS Core Team at PsiQuantum works closely alongside engineers and scientists in the electronics, system architecture, and validation teams and is responsible for building the scalable, distributed, fault-tolerant control plane and operating system for utility scale photonic quantum computers. Our team is responsible for orchestration, scheduling, kernel architecture, co-design, calibration, validation, providing abstractions, systems, and operating software for the immense heterogenous fabric of co-processors, networks, and photonics that are critical to the success of our company’s goal of building the world’s first useful quantum computer. As a Senior Software Engineer, Calibration & Control you will design and implement algorithms, controls, and software that keep our quantum processors in spec 24×7x365. Responsibilities: The core of our system revolves around a high performance, scalable graph database which contains critical information to control and manage PsiQuantum computing systems. Your role is to scale and extend the current core database systems to support the massive increase in size complexity of our systems. Daily functions: Data systems design and implementation. Participate in design and code reviews. Collaborate across software, hardware, and research teams at PsiQuantum. Testing and maintenance of database software. Champion and serve as an exemplar of good software development practices at PsiQuantum. Experience/Qualifications: 15+ years experience with Python or C++ in a system software context. Design and implementation of large scale distributed storage systems, emphasis on graph databases. Proven track record of developing and shipping reliable, performant software in a high scale or mission critical context. Bachelors degree in a technical discipline preferred, or equivalent experience. Ways to stand out: Experience in graph database systems such as Nebula, neo4j. Experience in high performance computing and data design. Experience in computer architecture. Experience in high performance networking. Experience with highly scalable distributed systems in a reliability and up-time critical environment. PhD in a related technical discipline is a plus but not required. [We are open to adjusting the compensation to experience level] Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to _. We are not accepting unsolicited resumes from employment agencies. The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future. U.S. Base Pay Range $180,000 - $205,000 USD Bay Area Pay Range $200,000 - $220,000 USD

Sr. Distinguished AI Engineer (Agentic AI Platform) 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com 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).

Distinguished AI Engineer (Agentic AI Platform) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Role Overview** Mercor is seeking GPU kernel optimization experts to contribute to a project with a leading AI lab.This opportunity is designed for freelancers with strong C++ skills, practical GPU programming experience, and the ability to improve kernel performance using profiler-guided analysis.Y

Job Description: The Role As the Trading Architect - Execution Algos on the Architecture Team you will design and build software for our trading platform at Fidelity Digital Assets. This is a hands-on role where you will set technical direction. You will be responsible for turning requirements into service designs and will engage with our chief architect and head of engineering to drive overall architecture of the Fidelity Digital Assets platform. The Expertise and Skills You Bring • Bachelor's degree in computer science or related field with 5 - 10 years of experience., • Strong background in designing and developing low latency trading systems., • Experience in building market data, SOR, Algo and exchange-connectivity platforms., • Experience using kernel bypass e.g., Solarflare Open Onload., • Extensive experience with modern Java using zero GC patterns., • Highly proficient in ultra-low latency design patterns and optimizing trading systems., • Hands on experience with low latency messaging products, such as Aeron, Solace and 29West., • Knowledge of WebSocket and FIX protocols., • Proficient in SQL and a working knowledge of relational and time series databases., • Experience designing APIs, distributed systems, asynchronous workers and resilient messaging services., • An understanding of microservice architecture and cloud-based deployments., • Ability to build reliable software that can withstand unreliable environments., • Can provide leadership and mentorship across small, agile teams in a very collaborative environment where your ideas are welcome., • Solid analytical, communication, and organizational skills., • An interest in and experience with cryptocurrencies and a passion for keeping up to date in space. The Team Fidelity Digital Assets, a Fidelity Investments Company, is developing a full-service enterprise-grade platform for storing, trading, and servicing digital assets, such as Bitcoin and Ethereum. Fidelity Digital Assets embraces an entrepreneurial culture and startup mindset while serving as one of the most innovative business units within Fidelity Investments. Our global, diverse team of hundreds of forward-thinking professionals lead with agility and creativity to build solutions that bridge the gap between traditional institutional investors and their exposure to digital assets. The firm's tenure and experience across multiple business lines presents our employees with unprecedented access to knowledge, technology, and resources that help our team reshape the future of finance. Within Fidelity Digital Assets, the Architecture Team is responsible for the technical vision across Fidelity Digital Assets. The team works with both technology and business teams to design secure, scalable, resilient cloud-based services while ensuring that user requirements are met. Company Overview At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to complete the application or interview process. Please email us at accommodations@fmr.com or call 800-835-5099, prompt 2, option 2 if you would like to request accommodation The base salary range for this position is $126,000-255,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position. Certifications: Category: Information Technology

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is developing a new portfolio of data-centric storage platforms and services to help the world's leading organizations harness their data in new and interesting ways. NetApp is bringing its industry leading, enterprise class data storage technologies into the world's biggest public clouds and the simplicity & flexibility of cloud into customer data centers. As a Software Engineer, you will work as part of an exceptionally talented engineering team responsible for architecture, design and development of ONTAP RAID and Storage software. The overall focus of the team will be on delivering innovative technologies to address competitive market and customer requirements with enterprise-class product quality and time-to-market. The team will also be responsible for maintenance and enhancements to existing technologies and products. Job Requirements Apply modern software engineering skills and best practices to contribute to both new product development and enhancements of existing technologies. Design and develop storage system software, including kernel-level programming and debugging. Write unit tests in C/C++ and develop test automation scripts using Python. Work as part of an exceptionally talented global team, engaging in technical discussions and acting as a resource for peers. Contribute to design, coding, debugging, performance analysis, and troubleshooting across development, test, and production environments. Be proactive in learning and applying the latest testing technologies, tools, and frameworks, while also driving automation initiatives. Develop, modify, and execute comprehensive software test plans and test cases—both manually and through automation—to ensure high product quality. Investigate and resolve issues, collaborating closely with other team members and across teams to address challenges in test and production environments. Work collaboratively with engineers distributed across the globe to ensure integrated and consistent testing and development efforts. Contribute to technical design discussions and share insights on systems engineering concepts, including computer architecture, operating systems, file systems, networking, algorithms, and data structures. Opportunity to work with storage protocols such as NVMe, SAS, and Fibre Channel. Qualifications Strong programming skills in C/C++ and Python with hands-on experience in Linux/UNIX environments. Experience in System Software programming and Kernel level debugging. Experience in writing unit tests code and develop test automation scripts. Familiarity with modern automation tools and frameworks and a passion for implementing the latest testing methodologies. Solid understanding of core systems engineering concepts. Excellent problem-solving skills with meticulous attention to detail. Ability to work effectively in cross-functional, geo-distributed teams. Excellent oral and written communication skills. Experience with storage and cloud technologies is a plus. Education A Bachelor of Science Degree in Electrical Engineering or Computer Science, or equivalent experience is required. Compensation: The target salary range for this position is 100,300 - 149,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Job Description Summary As an FPGA Design Research Engineer, you will have the opportunity to architect and develop state-of-the-art embedded systems for real-time controls and industrial communication applications. You will lead and contribute to R&D projects that are aligned with GE Vernova's energy businesses such as Renewables, Gas Power, Power Conversion, Hydro, and Grid Solutions. Moreover, you will have the opportunity to shape, pursue, and execute R&D efforts in partnership with U.S. Government Agencies such as the Department of Energy (DOE) and the Department of Defense (DOD), universities, and national labs. Technologies developed under these programs will be matured and transitioned into GE business products. Are you ready to join our team of technology enthusiasts to drive the energy transition for a more sustainable future? As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to power the energy transition. We forge the partnerships and invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 technology partners to execute on 150 energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Roles and Responsibilities Develop FPGA solutions for embedded systems and industrial control systems (ICS). Leverage FPGA design tools to develop, simulate, test, and optimize real-time embedded systems. Shape and pursue external opportunities with U.S. government agencies such as the DOE and DOD. Work with GE businesses to help transition real-time embedded controls and communication systems from early-stage lab demonstrations to fieldable prototypes. Collaborate with universities, industrial consortiums, commercial partners, and others to advance the state of the art in embedded systems. Publish technical papers, file patents, and contribute to open-source communities. Qualifications/Requirements Ph.D. in Computer Science, Electrical Engineering, or related disciplines OR Master's degree in Computer Science, Electrical Engineering, or related disciplines with a minimum of 2 years of industry experience OR Bachelor's degree in Computer Science, Electrical Engineering, or related disciplines with a minimum of 5 years of industry experience. 2-5 years of strong FPGA and SoC design experience using Verilog, SystemVerilog and VHDL 2-5 years of hands-on experience with Xilinx and/or Intel (Altera) FPGA devices, tools, and ecosystems (e.g., ModelSim, Intel Quartus, Xilinx Vivado) 2-5 years of solid understanding of digital logic design, including FSMs, pipelining, and resource optimization. 2-5 years of experience with RTL simulation, synthesis, place-and-route, and timing closure 2-5 years of knowledge of clock domain crossing (CDC) techniques and metastability mitigation 2-5 years of familiarity with high-speed and standard interfaces (UART, SPI, I2C, Ethernet, PCIe, DDR) 2-5 years of experience developing testbenches and performing functional verification. 2-5 years of proficiency with on-chip debugging tools (e.g., ILA, SignalTap) 2-5 years of ability to read and interpret schematics, timing diagrams, and hardware datasheets 2-5 years of experience using version control systems (Git preferred) 2-5 years of experience with high-level synthesis (HLS) tools and algorithm-to-hardware workflows, including Vitis HLS and integration with MathWorks MATLAB/Simulink for model-based design and verification. Desired Characteristics: Experience with the development of real-time embedded applications and systems on microcontrollers, FPGAs, x86, and/or ARM processors. Strong embedded programming skills (e.g., C/C++, C#, Python, etc.). Experience with Linux build systems (e.g., Yocto). Working knowledge of Linux driver and/or kernel development Experience writing firmware and with low-level programming (e.g., microcontrollers). Working knowledge of real-time operating systems (e.g., QNX, RTLinux, or VxWorks). Familiarity with virtualization technologies such as hypervisors, Docker containers, etc. Experience with CI/CD technologies (e.g., GitLab, Jenkins, etc.). Eligibility Requirements Legal authorization to work in the US is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening. Must be willing to work out of an office located in Niskayuna, NY This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: ineligible. This posting is expected to remain open for at least seven days after it was posted on June 09, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

CloudLinux is looking for experienced Kernel Developers to join their team at KernelCare. In this fully remote role, you will be responsible for developing Linux kernels and patches with a focus on cybersecurity. The ideal candidate should have strong C programming skills, experience with Linux kern

Develop and maintain Linux kernel drivers and low-level system software for embedded compute platforms, wireless modules, and custom MIPI image sensors. Port and debug embedded Linux builds on Qualcomm Snapdragon platforms (Yocto, AOSP experience a plus). Strong experience with Linux kernel developm

Position Responsibilities Assisting in the development and implementation of a wide range of low-level embedded software Assisting with hardware development Assisting with the development of application software running on the Wave Relay® network, which may include device drivers, Linux kernel modu

Embedded & Desktop Linux Systems Engineer - Optimisation Home based - Worldwide Work across the full Linux stack from kernel through GUI to optimise Ubuntu, the world’s most widely used Linux desktop and server, for the latest silicon. Our teams partner with specialist engineers from major silico

A pioneering AI cloud services company based in New York, NY, is looking for an HPC Performance Engineer to optimize bare-metal systems and enhance performance analysis.

Engineering Manager, Linux Team. Oversee the end-to-end delivery of the Linux Kernel and core OS components. Promote a "minimal patch" philosophy by ensuring your team is a top contributor to the Linux Kernel.

Join a leading company in AI research as a TPU Kernel Engineer focused on optimizing performance across machine learning systems. This position is integral in designing and optimizing TPU kernels, providing feedback to improve model performance, and requires expertise in large-scale systems.