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Job DescriptionJob Description Location: Houston, Texas Position status: Permanent Exempt Status: Exempt Company Profile: CNPC USA is a subsidiary of China National Petroleum Company and serves as the North American headquarters. Our mission is to drive innovation through advanced research and development of next-generation technologies for oil and gas exploration and production. Job Summary: CNPC USA is seeking a highly experienced Senior Firmware Engineer to lead the architecture, design, and development of embedded firmware for MWD/LWD downhole tools, with a primary focus on high-speed mud pulse telemetry (MPT) and MWD system integration. This position is a key technical role responsible for end-to-end firmware architecture, real-time signal processing, telemetry encoding and decoding, sensor and measurement integration, power management, and system-level performance across the downhole-to-surface data chain. The ideal candidate will have hands-on experience developing high-speed mud pulser systems and other MWD/LWD products, combined with a strong systems and architecture perspective spanning firmware, electronics, sensors, and telemetry encoding and decoding. This role will drive technology from concept and architecture definition through field deployment and commercialization, and will help establish firmware standards and design practices for the broader downhole product portfolio. Key Responsibilities: Define and own the firmware architecture for MWD/LWD tools - including high-speed mud pulse telemetry - from system requirements through implementation, qualification, and field release. Design and optimize high-speed mud pulse telemetry schemes, including pulser generation and control, modulation/encoding, power-efficiency optimization, and surface decoding algorithms. Develop, test, and debug embedded firmware in C/C++ for microcontroller, microprocessor, or DSP-based downhole measurement and telemetry systems. Architect firmware-to-hardware and firmware-to-sensor interfaces, defining data flow, timing, synchronization, and communication protocols across subsystems. Develop signal-processing and noise-mitigation algorithms for telemetry, vibration, and sensor data in harsh, high-noise downhole environments. Take a system-level view across firmware, electronics, mechanical, and surface software to ensure end-to-end tool performance, data integrity, and reliability. Work closely with electronics, mechanical, test, operations, and field teams to improve tool reliability and field performance. Lead firmware integration, troubleshooting, root-cause analysis, performance optimization, verification, qualification, and reliability testing of embedded telemetry systems, including hardware-in-the-loop (HIL) and environmental testing Support field deployment and product sustainment by investigating and resolving firmware, telemetry, sensor, and electronics issues to ensure reliable system performance. Establish firmware development standards, coding practices, version control, and design documentation for the downhole engineering team. Mentor and provide technical guidance to less experienced firmware and electronics engineers. Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Embedded Systems, or a related discipline; Master's degree or above is preferred. 8+ years of embedded firmware development experience, with demonstrated experience at a lead or principal level. Direct, hands-on experience developing high-speed mud pulse telemetry (MWD) systems and other MWD/LWD products. Strong system and architecture perspective, with a proven ability to define firmware architecture and interfaces spanning firmware, electronics, sensors, and surface software. Familiar with various electronic communication Bus systems and implementations. Expert-level embedded firmware development in C/C++ for MCU, MPU, or DSP-based real-time systems. Solid understanding of hardware-software integration, including sensor interfaces, communication interfaces, and timing/synchronization. Proficiency with laboratory and debug tools such as oscilloscopes, logic analyzers, emulators/debuggers, and automated or HIL test methods. Strong troubleshooting and root-cause analysis capability for mixed firmware/hardware systems. Preferred Experience: Deep experience with mud-pulse telemetry (positive, negative, or continuous-wave/siren pulsers), especially, with high-data-rate downhole telemetry. Experience with EM telemetry, short-hop, directional drilling tools, downhole sensors, and MWD/LWD measurement systems. Strong background in real-time signal processing, digital communications/telemetry, modulation and encoding, and algorithm development. Familiarity with high-temperature electronics, shock/vibration survivability, and pressure-compensated or sealed downhole systems. Experience defining firmware architecture and standards across a product portfolio. Experience with surface decoding software and optimization of the downhole-to-surface data chain. Experience with manufacturing test systems, qualification testing, and product commercialization. Prior experience supporting both new product development and sustaining engineering for deployed tools. Work Environment: This job operates in a professional office environment. This role routinely uses standard office equipment, including computers, phones, photocopiers, filing cabinets, and fax machines. Physical Demands: The physical demands described here are representative of those that an employee must meet to successfully perform the essential job functions. While performing the duties of this job, the employee is regularly required to talk or hear. This is a sedentary role; however, some filing, bending, and the ability to lift 20 lbs are required. Travel: This position requires some overnight international and domestic travel. Local travel between other CNPC USA locations and testing facilities is required. Supervisory Responsibility: This position has no direct supervisory responsibilities; however, it serves as a technical lead, mentor, and point of contact for less-experienced engineers. CNPC USA is an Equal Opportunity Employer (EOE). Qualified applicants are considered regardless of race, color, age, sex, sexual orientation, religion, disability, ethnicity, national origin, marital status, veteran status, or any other legally protected status. Disclaimer: The job description is not intended to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time with or without notice.

Job DescriptionJob Description Location: Houston, Texas Position status: Permanent Exempt Status: Exempt Company Profile: CNPC USA is a subsidiary of China National Petroleum Company and serves as the North American headquarters. Our mission is to drive innovation through advanced research and development of next-generation technologies for oil and gas exploration and production. Job Summary: CNPC USA is seeking a highly experienced Senior Firmware Engineer to lead the architecture, design, and development of embedded firmware for MWD/LWD downhole tools, with a primary focus on high-speed mud pulse telemetry (MPT) and MWD system integration. This position is a key technical role responsible for end-to-end firmware architecture, real-time signal processing, telemetry encoding and decoding, sensor and measurement integration, power management, and system-level performance across the downhole-to-surface data chain. The ideal candidate will have hands-on experience developing high-speed mud pulser systems and other MWD/LWD products, combined with a strong systems and architecture perspective spanning firmware, electronics, sensors, and telemetry encoding and decoding. This role will drive technology from concept and architecture definition through field deployment and commercialization, and will help establish firmware standards and design practices for the broader downhole product portfolio. Key Responsibilities: Define and own the firmware architecture for MWD/LWD tools - including high-speed mud pulse telemetry - from system requirements through implementation, qualification, and field release. Design and optimize high-speed mud pulse telemetry schemes, including pulser generation and control, modulation/encoding, power-efficiency optimization, and surface decoding algorithms. Develop, test, and debug embedded firmware in C/C++ for microcontroller, microprocessor, or DSP-based downhole measurement and telemetry systems. Architect firmware-to-hardware and firmware-to-sensor interfaces, defining data flow, timing, synchronization, and communication protocols across subsystems. Develop signal-processing and noise-mitigation algorithms for telemetry, vibration, and sensor data in harsh, high-noise downhole environments. Take a system-level view across firmware, electronics, mechanical, and surface software to ensure end-to-end tool performance, data integrity, and reliability. Work closely with electronics, mechanical, test, operations, and field teams to improve tool reliability and field performance. Lead firmware integration, troubleshooting, root-cause analysis, performance optimization, verification, qualification, and reliability testing of embedded telemetry systems, including hardware-in-the-loop (HIL) and environmental testing Support field deployment and product sustainment by investigating and resolving firmware, telemetry, sensor, and electronics issues to ensure reliable system performance. Establish firmware development standards, coding practices, version control, and design documentation for the downhole engineering team. Mentor and provide technical guidance to less experienced firmware and electronics engineers. Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Embedded Systems, or a related discipline; Master's degree or above is preferred. 8+ years of embedded firmware development experience, with demonstrated experience at a lead or principal level. Direct, hands-on experience developing high-speed mud pulse telemetry (MWD) systems and other MWD/LWD products. Strong system and architecture perspective, with a proven ability to define firmware architecture and interfaces spanning firmware, electronics, sensors, and surface software. Familiar with various electronic communication Bus systems and implementations. Expert-level embedded firmware development in C/C++ for MCU, MPU, or DSP-based real-time systems. Solid understanding of hardware-software integration, including sensor interfaces, communication interfaces, and timing/synchronization. Proficiency with laboratory and debug tools such as oscilloscopes, logic analyzers, emulators/debuggers, and automated or HIL test methods. Strong troubleshooting and root-cause analysis capability for mixed firmware/hardware systems. Preferred Experience: Deep experience with mud-pulse telemetry (positive, negative, or continuous-wave/siren pulsers), especially, with high-data-rate downhole telemetry. Experience with EM telemetry, short-hop, directional drilling tools, downhole sensors, and MWD/LWD measurement systems. Strong background in real-time signal processing, digital communications/telemetry, modulation and encoding, and algorithm development. Familiarity with high-temperature electronics, shock/vibration survivability, and pressure-compensated or sealed downhole systems. Experience defining firmware architecture and standards across a product portfolio. Experience with surface decoding software and optimization of the downhole-to-surface data chain. Experience with manufacturing test systems, qualification testing, and product commercialization. Prior experience supporting both new product development and sustaining engineering for deployed tools. Work Environment: This job operates in a professional office environment. This role routinely uses standard office equipment, including computers, phones, photocopiers, filing cabinets, and fax machines. Physical Demands: The physical demands described here are representative of those that an employee must meet to successfully perform the essential job functions. While performing the duties of this job, the employee is regularly required to talk or hear. This is a sedentary role; however, some filing, bending, and the ability to lift 20 lbs are required. Travel: This position requires some overnight international and domestic travel. Local travel between other CNPC USA locations and testing facilities is required. Supervisory Responsibility: This position has no direct supervisory responsibilities; however, it serves as a technical lead, mentor, and point of contact for less-experienced engineers. CNPC USA is an Equal Opportunity Employer (EOE). Qualified applicants are considered regardless of race, color, age, sex, sexual orientation, religion, disability, ethnicity, national origin, marital status, veteran status, or any other legally protected status. Disclaimer: The job description is not intended to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time with or without notice.

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $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 ; 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 . click apply for full job details

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details

Do you want to shape the future of virtualized (SDN) networking in one of the world's biggest public clouds? The Amazon Elastic Compute Cloud (EC2) Nitro Dataplane team owns the packet pipeline that runs right beneath all our customer's EC2 VPC instances, adding features like firewalls (security groups), routing, billing and monitoring as we touch every single packet on every single host across our worldwide fleet in more than 30 regions. Our vision is to combine the performance of bare metal networking while maintaining all the benefits of the cloud, including delivering features not possible on bare metal leading to true Software Defined Networking (SDN). We continue to grow, and are looking for kernel/embedded C programmers who can deliver ultra-high performance for our EC2 customers - our goal is to be processing many millions of packets per second on embedded CPU cores. This requires both being able to implement highly optimized data structures, but also low level tuning to our hardware. If you have good experience in C/C++ or Rust, and a passion for systems software engineering such as kernel or embedded software development, then this is a unique opportunity to join us in building the platform which is the basis for all new EC2 VPC features in the years to come. You can have an immediate impact for all of our customers including internal customers such as AWS Lambda, and external customers that run on Amazon EC2 as we deploy new features and updates regularly and often. With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, there are many stretch opportunities to grow your skills and knowledge. Key job responsibilities Your responsibilities will include: Being an engineer on a small team, mentoring junior engineers, ensuring the right development practices are followed. Be very hands-on; work with the engineering team to manage the day-to-day development activities by leading architecture decisions, participating in designs, design review, code review, and implementation. Maintain current technical knowledge to support rapidly changing technology, always on a look out for new technologies and work with management and development team in bringing new technologies. Communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proficiency in design and analysis of algorithms and data structures - In-depth knowledge of TCP/IP - Kernel or embedded development, particularly Linux kernel - Scripting (Ruby/Python/Rust) - Strong knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis - Knowledge of, at least, one modern programming language such as C, C++, Rust, Python or Perl - Ability to take a project from scoping requirements through actual launch of the project - Meets/exceeds Amazon's leadership principles requirements for this role - Meets/exceeds Amazon's functional/technical depth and complexity for this role Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Job DescriptionJob DescriptionDescriptionAbout The Role: Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Senior Software Engineer to be part of our Advanced Capabilities team and based out of our Arlington, VA location. We are seeking an experienced Senior Software Engineer with expertise in U.S. Navy tactical combat systems to support a fast-paced, customer-focused test and experimentation team. This role requires deep experience in designing, developing, integrating, and testing complex software products in mission-critical environments. This role applies interdisciplinary engineering principles to ensure that software, networks, and mission systems operate effectively, securely, and in compliance with Department of Defense standards and regulations. Clearance & Location Requirements: All applicants must currently possess an active Secret U.S. Security Clearance. This is an on-site position. Requiring at least 5 days in the office, based out of our Arlington, VA location. Key Responsibilities What You Will Do: Support full development lifecycle including system design, implementation, integration, test, and deployment of complex systems supporting DoD and Navy operational. Conduct architecture analysis for distributed combat systems (hardware/software/network). Design, develop, and maintain real-time software systems supporting Navy combat systems and tactical data processing Collaborate with cross-functional teams including program management, cybersecurity, software development, hardware engineering, logistics, and test organizations. Support system certification, verification, and validation activities in accordance with DoD standards. Provide technical leadership in design reviews, code reviews, and system-level engineering discussions. Develop software interfaces to communicate across network protocols such as TCP/UDP, DDS, ActiveMQ, Kafka, RabbitMQ Participate in technical reviews (MRA, MRR, DAWG, TWEG, etc.) and support government and stakeholder briefings. Skills, Knowledge & ExpertiseWho You Are (Required): Bachelor's degree in Engineering, Computer Science, Mathematics, Physics, or related STEM field or equivalent relevant full-time experience. 7+ years of relevant experience in system engineering or integration roles. Strong proficiency in C++, Java, or other real-time systems programming languages. Experience with Linux/Unix-based environments and real-time operating systems. Proficiency working with version control software like Git, SVN and software development environments Understanding of the Software Development Life Cycle Strong system integration and test experience, including distributed and tactical systems. Strong understanding of systems engineering processes, including requirements traceability and configuration management. Experience leading test execution and integration activities across functional teams Experience supporting U.S. Navy combat systems integration, testing, or sustainment. Strong understanding of real-time distributed systems, radar systems, and weapon control logic Ability to adapt to rapidly changing priorities and execute multiple concurrent assignments. Ability to travel up to 25%. What Makes You Stand Out: Experience with Navy surface warfare systems and tactical applications (e.g., Aegis Weapon System, SSDS, Link-16). Experience in technical leadership or principal engineering roles. Knowledge of missile defense, air and missile warfare, or integrated fire control systems. Develop and maintain interface control documents (ICDs) across fire control and command subsystems Experience developing, testing, and troubleshooting large-scale or distributed DoD software systems. Experience supporting rapid prototyping, experimentation, integration, and capability demonstrations. If you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network. Pay Range : $135,000 - $231,000 or $164,000 - $273,000 This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. Job BenefitsWhy Work at Innovative Defense Technologies (IDT): IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including: Generous benefits package Competitive PTO Paid holidays 401(k) with immediate vesting and matching 9/80 optional schedule (2nd and 4th Friday off every month) Tuition Assistance Reimbursement Program Professional Development Resources Pre-Tax Commuter Benefits Organization-Wide Monthly Tech Connect Events Annual Employee Recognition Awards Regular Social Events and Catered Lunches EEO Statement:IDT is an Equal Opportunity employer.

Job DescriptionJob Description SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. As we grow, we're looking for mission-driven Platform Software Engineers who are ready to make a real impact-not just with code, but with purpose. If you're passionate about solving complex challenges that matter, there's a place for you here. Responsibilities: Design, maintain, and improve CI pipelines (GitLab CI) for secure software builds and deployments Orchestrate automated deployments across development, test, and production environments using Kubernetes and Helm Ability to perform tasks well aligned with team and product goals with limited technical oversight and guidance. Provide thought leadership, mentorship, and input into tasks for projects Integrate CI pipelines with tools for artifact management, testing, code quality, and security scanning Monitor and troubleshoot CI/CD pipeline performance and deployment issues Manage software release processes including version promotion, branching, integration, and validation Maintain and implement Helm charts for application deployments Perform deployment validation and issue resolution in Kubernetes-based environments Ensure adherence to cybersecurity protocols and secure coding practices Support software vulnerability scanning (Static & Dynamic Analysis Tools) and remediation processes Perform other DevSecOps-related duties as assigned Requirements U.S. citizenship and eligibility for a DoD security clearance Bachelor's degree in a STEM discipline At least 8 year of overall professional software development experience with 5 years of experience with the following technologies: Python3 CI/CD tools (GitLab CI, GitHub Actions, or Jenkins) Git version control Container orchestration with tools such as Docker, Kubernetes, Kustomize, or Helm Demonstrated attention to detail Good verbal and written communication skills Candidates who have any of the following skills will be preferred Linux systems administration Container security tools (e.g., Grype, Syft) SAST/SCA tools (e.g., Fortify, SonarQube, Snyk, Trivy, ZAP) AWS (EKS, EC2, Lambda) Application networking with tools such as Istio, NGINX, or Traefik Monitoring and observability tools (e.g., Prometheus, Grafana) Authentication tools (e.g., Keycloak) Artifact repositories (e.g., JFrog Artifactory, Nexus) Additional programming experience with strongly typed languages such as C++ or Rust Familiarity with secure software development and vulnerability management workflows Experience supporting RMF processes, ATO activities, or DISA STIG application•Experience supporting RMF processes, ATO activities, or DISA STIG application Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $156,000- $235,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

Job DescriptionJob Description Staff Engineer or Principal Engineer - Colorado Stealth Startup About the Opportunity Join an elite, venture-backed team building next-generation, AI-powered collaboration tools for the enterprise. Technical Integrity has been retained to lead the search for a rapidly growing startup developing AI systems that improve how large organizations think, communicate, and make decisions. Their product uses cutting-edge AI to identify and resolve coordination gaps automatically - helping teams operate more intelligently and efficiently at scale. Following a recent, substantial, oversubscribed-round of funding (by names you will certainly recognize), the company is expanding its world-class engineering team in Colorado and beyond. What You'll Do Architect and implement core systems for an AI-powered enterprise collaboration platform, as a core engineer. Define, design, and deliver innovative solutions in distributed systems, backend logic, and AI integration. Collaborate closely with product, design, and AI research peers to shape both strategy and implementation. Ensure infrastructure reliability, scalability, and security through modern cloud and Kubernetes technologies. Work with other Senior Staff Engineers to foster a culture of technical excellence, autonomy, and curiosity. Ideal Candidate Profile Top 20% Engineer: Strong analytical ability, judgment, and breadth of experience. You think from first principles and have a track record of solving complex, real-world problems. Hands-On Builder: You're happiest writing code and shipping production systems in a fast paced startup - not just managing others. Self-Directed & Autonomous: You thrive in a lightly structured environment, decomposing ambiguous problems and independently driving them to completion. Backend, Security & Systems Focused: Most work centers on backend and business logic development and integrations. Security-centric SRE experience is preferred. Frontend development is helpful but not central. Startup & Enterprise Experience: You balance startup agility with enterprise-scale thinking and rigor. Smart, Not Hard: You work efficiently and sustainably, typically producing exceptional results within a 45-50 hour workweek. AI & LLM Experience: You're excited by building in an AI-native environment, leveraging Claude Code and other LLM-assisted tools to enhance development velocity and creativity. Collaborative & Solution-Oriented: No lonewolves. You communicate thoughtfully, contribute positively to discussions, and pair every critique with a constructive solution. How We Work We value leverage over brute force - working smart, not long hours. Engineers are trusted to define their own work, prioritize high-impact projects, and deliver results with minimal oversight. The team collaborates through lightweight, peer-driven conversations rather than rigid sprint cycles or daily standups. You'll work alongside senior peers solving challenging systems problems in a small, high-trust team where every hire makes a visible impact. This is an environment for creative, disciplined problem solvers who thrive in freedom and accountability. Technical Environment and required experience: AI-native development using Claude Code and LLM-assisted tools. Work at the bleeding edge of containerization, Agentic platforms, MCP, and distributed systems. A modern, cloud-first infrastructure built on Knowledge Graph using Neo4J and Terraform and Kubernetes. High-impact autonomy: engineers research, design, and deliver major systems end-to-end. Interview Process We've designed a focused process that balances technical rigor with respect for candidates' time. Step 1: Introductory conversation with Technical Integrity. Step 2: Real-world coding exercise (typically 4 hours). This is the main part of our interview process and replaces multiple rounds. It reflects our AI-native environment and requires use of Claude Code and modern containerization tools. Candidates often find it a valuable preview of what day-to-day work feels like here. Step 3: Three collaborative interviews with engineering leadership. This process gives both sides a deep sense of technical fit and working style. Compensation & Benefits Competitive salary and meaningful equity packages. Recent offers for comparable roles have ranged from $185,000-$250,000 base, plus meaningful signing bonuses and equity stakes. (Equity is the big story- take time to learn about that story throughout your interviews and you will be glad you did). Very solid Health benefits (Medical, Dental, and Vision) 401K match Flexible work arrangements - Colorado-based 1-2 days per week in Boulder. Opportunity to collaborate with world-class technical peers on groundbreaking AI systems. Application Process To apply, please contact Technical Integrity with your resume and a concise statement of interest. We value transparency, prompt feedback, and a respectful candidate experience throughout. If you're a senior software engineer or principal technologist who thrives on autonomy, deep technical challenges, and building at the frontier of AI-assisted engineering, we'd love to hear from you.

Job DescriptionJob Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you a Senior Software Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Senior Software Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. (This position requires in-scope poly, within 7 years). U.S. Citizenship. 14+ years Software Engineering experience and a BS degree in Computer Science or related. Works well independently as well as on a team. Strong communication skills. Description: Seeking a software engineer to parse data products which make information available for Analytic missions. This Program has a robust process to ensure quality of products. The process includes DAT, UAT/SME Validation, Smoke Test, and System Level Test (SLT) prior to deploying products to production. Communication and collaboration: Software Development is a team-oriented discipline. Mostly Java development. Software Engineers are part of the Domain team and need to be able to communicate and collaborate effectively with other team members. Support CI/CD principals utilizing Gitlab, Confluence, and Jira. The Team supports a variety of flexible work schedules that provide additional flexibility to our employees. Core hours coverage of 10 AM to 2 PM is required. No overtime, nor weekend work allowed. Desired Skills: Java, Gitlab, Confluence documentation, and Jira tickets. Location: Annapolis Junction, MD Salary Range: The salary range for this full-time position is $170,000 to $260,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. SIGN-ON BONUS ELIGIBLE. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR T2MbU1BbqC