Work Location Type: Remote Req Number 329896 About Grainger W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, offers customers access to more than 14 million products, and offers more than 24 million products. For more information, visit . Compensation The anticipated base pay compensation range for this position is $124,200.00 - $207,000.00. This role is eligible for an incentive target of up to 15 % or $ , based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. 23 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required. Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools. Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. For additional information and details regarding Grainger's benefits, please click on the link below: Grainger Benefits The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Position Details: As a Lead Software Engineer (Software Engineer IV) you will develop applications that align with a strategic vision. In addition to coaching engineers, you will partner with key stakeholders including Product Managers and Architecture. You will embrace curiosity to ensure a deep understanding of the business requirements that drive the analysis and physical design of technical solutions. Within the Customer Order domain, you will play a pivotal role in shaping the user experience and building scalable, high-performance applications that enhance customer notifications into their order lifecycle. You'll partner with cross-functional stakeholders to build, evolve, and modernize Grainger's digital experience with a focus on quality, performance, and maintainability. This is a hands-on role requiring deep expertise with AWS (Simple Email Service, SQS, SNS, Lambda), Kafka, MongoDB, Kotlin or Java, Kubernetes, Datadog - combined with strong emphasis on technical leadership, mentoring, and collaboration skills. You Will: Lead engineer on a team responsible for the application and delivery of high-quality, maintainable software for highly complex applications Own engineering culture within the team championing sensible defaults to enable continuous delivery activities Contribute to continuous learning on your team culture by leading knowledge sharing sessions with latest technological features and engineering practices Maintain software in production with demonstrated ability to triage and resolve issues Mentor developers, conduct code reviews, and participate in pair programming. Advocate for and implement engineering best practices including component reusability, modularity, separation of concerns, and performance optimzation Drive complex technical initiatives in partnership with Architects Partners directly with IT Management team to ensure successful design and delivery of technology based solutions Drive continuous delivery practices improving CI/CD pipelines, test strategies, and build automation You Have: Bachelor's Degree or equivalent experience in computer science or similar; or equivalent experience required 5+ years experience as a Software Engineer; with experience in modern software engineering; designing; developing, testing and deploying scalable software applications within a variety of technologies and environments required Expert knowledge of programming skills; JVM, Kotlin, Typescript, React, or similar languages Strong focus on backend with working knowledge of front end Demonstrated knowledge of distributed system design and integration patterns (Kafka) Understanding of event driven data streaming architectures Familiarity with Agile/Scrum methodologies and Dev Ops Practices Experience with analyzing, interpreting and communicating complex problems and practices Demonstrated success in leading the evolution of monoliths to microservices and shaping cross-team technical strategies. Familiarity with backend-for-frontend (BFF) concepts or partnering with Node.js backend APIs preferred We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.
09/25/2026
Full time
Work Location Type: Remote Req Number 329896 About Grainger W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, offers customers access to more than 14 million products, and offers more than 24 million products. For more information, visit . Compensation The anticipated base pay compensation range for this position is $124,200.00 - $207,000.00. This role is eligible for an incentive target of up to 15 % or $ , based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. 23 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required. Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools. Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. For additional information and details regarding Grainger's benefits, please click on the link below: Grainger Benefits The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Position Details: As a Lead Software Engineer (Software Engineer IV) you will develop applications that align with a strategic vision. In addition to coaching engineers, you will partner with key stakeholders including Product Managers and Architecture. You will embrace curiosity to ensure a deep understanding of the business requirements that drive the analysis and physical design of technical solutions. Within the Customer Order domain, you will play a pivotal role in shaping the user experience and building scalable, high-performance applications that enhance customer notifications into their order lifecycle. You'll partner with cross-functional stakeholders to build, evolve, and modernize Grainger's digital experience with a focus on quality, performance, and maintainability. This is a hands-on role requiring deep expertise with AWS (Simple Email Service, SQS, SNS, Lambda), Kafka, MongoDB, Kotlin or Java, Kubernetes, Datadog - combined with strong emphasis on technical leadership, mentoring, and collaboration skills. You Will: Lead engineer on a team responsible for the application and delivery of high-quality, maintainable software for highly complex applications Own engineering culture within the team championing sensible defaults to enable continuous delivery activities Contribute to continuous learning on your team culture by leading knowledge sharing sessions with latest technological features and engineering practices Maintain software in production with demonstrated ability to triage and resolve issues Mentor developers, conduct code reviews, and participate in pair programming. Advocate for and implement engineering best practices including component reusability, modularity, separation of concerns, and performance optimzation Drive complex technical initiatives in partnership with Architects Partners directly with IT Management team to ensure successful design and delivery of technology based solutions Drive continuous delivery practices improving CI/CD pipelines, test strategies, and build automation You Have: Bachelor's Degree or equivalent experience in computer science or similar; or equivalent experience required 5+ years experience as a Software Engineer; with experience in modern software engineering; designing; developing, testing and deploying scalable software applications within a variety of technologies and environments required Expert knowledge of programming skills; JVM, Kotlin, Typescript, React, or similar languages Strong focus on backend with working knowledge of front end Demonstrated knowledge of distributed system design and integration patterns (Kafka) Understanding of event driven data streaming architectures Familiarity with Agile/Scrum methodologies and Dev Ops Practices Experience with analyzing, interpreting and communicating complex problems and practices Demonstrated success in leading the evolution of monoliths to microservices and shaping cross-team technical strategies. Familiarity with backend-for-frontend (BFF) concepts or partnering with Node.js backend APIs preferred We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.
SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role: We are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability. As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency). This is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale Responsibilities: Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache). Optimize latency and throughput of model inference under real production workloads. Build reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency. Benchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation). Develop custom tools to trace, replay, and fix issues across the full stack - from orchestration down to GPU kernels. Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates. Accelerate research on scaling test-time compute, RL rollout, and model-hardware co-design for next-generation systems. BASIC QUALIFICATIONS: Deep low-level systems programming (C/C++ or Rust) Experience with large-scale, high-concurrent production serving. Experience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.). Strong background in system optimizations: batching, caching, load balancing, parallelism. Low-level inference optimizations: GPU kernels, code generation. Algorithmic inference optimizations: quantization, speculative decoding, distillation, low-precision numerics. Experience with testing, benchmarking, and reliability of inference services. Experience designing and implementing CI/CD infrastructure for inference. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
09/25/2026
Full time
SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role: We are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability. As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency). This is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale Responsibilities: Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache). Optimize latency and throughput of model inference under real production workloads. Build reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency. Benchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation). Develop custom tools to trace, replay, and fix issues across the full stack - from orchestration down to GPU kernels. Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates. Accelerate research on scaling test-time compute, RL rollout, and model-hardware co-design for next-generation systems. BASIC QUALIFICATIONS: Deep low-level systems programming (C/C++ or Rust) Experience with large-scale, high-concurrent production serving. Experience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.). Strong background in system optimizations: batching, caching, load balancing, parallelism. Low-level inference optimizations: GPU kernels, code generation. Algorithmic inference optimizations: quantization, speculative decoding, distillation, low-precision numerics. Experience with testing, benchmarking, and reliability of inference services. Experience designing and implementing CI/CD infrastructure for inference. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Headquartered in Silicon Valley, California, Archer is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems ("UAS"), aviation-related physical artificial intelligence ("AI") solutions, and other technologies to customers worldwide across the commercial aerospace and defense sectors. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What You'll Do As a Staff DevOps Engineer, you will architect, develop, and scale the core services, real-time data pipelines, and distributed infrastructure that power our cutting-edge AI products. You will bridge the gap between complex AI models and production-ready systems, ensuring that our high-throughput, real-time data streaming environment is reliable, secure, and infinitely scalable. Architect and maintain highly available backend systems, distributed data pipelines, and scalable cloud infrastructure to support real-time AI applications. Leverage infrastructure-as-code (IaC) and cloud-native tooling to build, manage, and optimize our production, staging, and development environments. Build and manage stream-processing jobs capable of handling global, high-frequency data streams with ultra-low latency. Work cross-functionally with AI Research, Engineering, and Data Science teams to containerize, deploy, orchestrate, and monitor scalable ML models and infrastructure. Own the full development lifecycle-from system design and infrastructure provisioning to deployment, proactive monitoring, and capacity planning. Maximize system performance, observability, and reliability; respond to high-priority production issues with advanced debugging, root cause analysis, and blameless post-mortems. Mentor and guide team members, fostering an engineering culture centered around DevOps practices, automation, and distributed systems best practices. What You Need BS/MS/PhD degree in Computer Science, Software Engineering, or a related technical field. 5+ years of professional software engineering experience with a heavy focus on backend systems, distributed architectures, and infrastructure management. Strong proficiency in Java, Python and/or Rust, with a solid grasp of writing high-performance, concurrent backend code. Production experience with stream-processing frameworks, specifically Apache Flink. Experience setting up observability stacks (eg Grafana, Prometheus, ELK, etc.) Solid experience with containerization and orchestration (Docker, Kubernetes), including configuring network policies, storage, and auto-scaling. Deep experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools such as OpenTofu/Terraform and Ansible. Hands-on experience with modern GitOps practices (e.g., Argo CD) and managing CI/CD automation pipelines. Solid experience with relational databases (e.g., PostgreSQL), in-memory datastores (e.g., Valkey/Redis), and high-throughput data storage strategies. Able to scale yourself with AI coding assistants while still fully understanding and taking absolute ownership of all code and infrastructure configurations you commit. Excellent communication skills, with a proven ability to design resilient architectures and explain complex infrastructure paradigms to the broader team. Bonus Qualifications Deep experience with Apache Pulsar (or Kafka) handling high-throughput, event-driven streaming architectures. Rust experience with async runtimes (Tokio) and message-driven architectures. Experience architecting real-time media pipelines using WebRTC (LiveKit, RealtimeKit) with a focus on server-side jitter buffering and network impairment handling. Deep understanding of audio codecs, specifically optimizing server-side Opus encoding/decoding for CPU efficiency and low-latency distribution. Familiarity with MLOps frameworks, GPU orchestration in Kubernetes, and serving LLMs at scale. Background in high-availability, real-time systems, telecommunications, or safety-critical networks. Prior experience or a deep interest in aerospace, aviation, or autonomous tracking systems. Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company's business strategy. For this position we are targeting a base pay between $200,000 - $250,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer's People Team at . Reasonable accommodations will be determined on a case-by-case basis. Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy. Certain positions may be eligible for visa sponsorship. Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to . All employment processes are managed by the Archer People Team.
09/25/2026
Full time
Headquartered in Silicon Valley, California, Archer is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems ("UAS"), aviation-related physical artificial intelligence ("AI") solutions, and other technologies to customers worldwide across the commercial aerospace and defense sectors. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What You'll Do As a Staff DevOps Engineer, you will architect, develop, and scale the core services, real-time data pipelines, and distributed infrastructure that power our cutting-edge AI products. You will bridge the gap between complex AI models and production-ready systems, ensuring that our high-throughput, real-time data streaming environment is reliable, secure, and infinitely scalable. Architect and maintain highly available backend systems, distributed data pipelines, and scalable cloud infrastructure to support real-time AI applications. Leverage infrastructure-as-code (IaC) and cloud-native tooling to build, manage, and optimize our production, staging, and development environments. Build and manage stream-processing jobs capable of handling global, high-frequency data streams with ultra-low latency. Work cross-functionally with AI Research, Engineering, and Data Science teams to containerize, deploy, orchestrate, and monitor scalable ML models and infrastructure. Own the full development lifecycle-from system design and infrastructure provisioning to deployment, proactive monitoring, and capacity planning. Maximize system performance, observability, and reliability; respond to high-priority production issues with advanced debugging, root cause analysis, and blameless post-mortems. Mentor and guide team members, fostering an engineering culture centered around DevOps practices, automation, and distributed systems best practices. What You Need BS/MS/PhD degree in Computer Science, Software Engineering, or a related technical field. 5+ years of professional software engineering experience with a heavy focus on backend systems, distributed architectures, and infrastructure management. Strong proficiency in Java, Python and/or Rust, with a solid grasp of writing high-performance, concurrent backend code. Production experience with stream-processing frameworks, specifically Apache Flink. Experience setting up observability stacks (eg Grafana, Prometheus, ELK, etc.) Solid experience with containerization and orchestration (Docker, Kubernetes), including configuring network policies, storage, and auto-scaling. Deep experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools such as OpenTofu/Terraform and Ansible. Hands-on experience with modern GitOps practices (e.g., Argo CD) and managing CI/CD automation pipelines. Solid experience with relational databases (e.g., PostgreSQL), in-memory datastores (e.g., Valkey/Redis), and high-throughput data storage strategies. Able to scale yourself with AI coding assistants while still fully understanding and taking absolute ownership of all code and infrastructure configurations you commit. Excellent communication skills, with a proven ability to design resilient architectures and explain complex infrastructure paradigms to the broader team. Bonus Qualifications Deep experience with Apache Pulsar (or Kafka) handling high-throughput, event-driven streaming architectures. Rust experience with async runtimes (Tokio) and message-driven architectures. Experience architecting real-time media pipelines using WebRTC (LiveKit, RealtimeKit) with a focus on server-side jitter buffering and network impairment handling. Deep understanding of audio codecs, specifically optimizing server-side Opus encoding/decoding for CPU efficiency and low-latency distribution. Familiarity with MLOps frameworks, GPU orchestration in Kubernetes, and serving LLMs at scale. Background in high-availability, real-time systems, telecommunications, or safety-critical networks. Prior experience or a deep interest in aerospace, aviation, or autonomous tracking systems. Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company's business strategy. For this position we are targeting a base pay between $200,000 - $250,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer's People Team at . Reasonable accommodations will be determined on a case-by-case basis. Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy. Certain positions may be eligible for visa sponsorship. Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to . All employment processes are managed by the Archer People Team.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Visa will accept applications for this role until at least 09-30-2026 Job Description We are seeking a highly skilled AI developer with deep expertise in Agentic and Generative AI to drive the next wave of intelligent automation and digital transformation. In this role, you will be at the forefront of designing, implementing, and optimizing AI-powered solutions integrated into the ServiceNow platform. Your primary focus will be on leveraging artificial intelligence, including custom MCP tooling, Agentic scoped applications, and third-party Large Language Models-to enhance workflows, automate complex processes, and deliver innovative business outcomes. You will architect and build custom AI solutions and ensure seamless user experiences through intelligent automation. As a thought leader in AI, you will collaborate with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and contribute to Visa's enterprise AI strategy. In addition to your AI responsibilities, you will develop and configure integrations between ServiceNow and other enterprise applications, manage the full lifecycle of these integrations (from API development and scripting to framework deployment), and ensure robust, secure, and scalable connections. Roles and responsibilities: Designing, developing, and optimizing AI-powered solutions (built within the ServiceNow platform and/or integrated through external custom solutions), including the creation of custom MCP tooling and Agentic solutions. Leveraging AI solutions to integrate and orchestrate third-party Large Language Models (LLMs) such as OpenAI, Google Gemini, etc, driving intelligent automation and enhanced user experiences. Collaborating with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and deliver innovative, AI-driven business outcomes. Troubleshooting and resolving issues with ServiceNow configurations and AI components, ensuring seamless operation and reliability. Identifying requirement gaps to ensure high-quality solutions and providing configuration options with clear pros and cons. Designing and implementing intuitive, user-friendly software that enables customer-led customization and flexibility. Collaborating with internal customers and business analysts to clarify requirements and architect effective, AI-driven solutions. Authoring comprehensive technical design and build documentation for all facets of the technical infrastructure. Conducting research and analysis of existing systems to provide accurate time estimates and recommendations to project managers. Actively participating in project meetings and daily scrums to communicate development status, progress, and technical insights. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least September 30, 2026. Qualifications Basic Qualifications 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications Proven ability to deliver projects on time and within budget by writing high-quality code, mentoring junior developers, understanding workload and usage requirements, and producing clear technical documentation that enables knowledge transfer and long-term supportability across global teams. Experience designing robust, scalable, and moderately complex architectural solutions that integrate across a broader technical ecosystem, while effectively operating as a collaborative member of a globally distributed team across diverse time zones and cultures. Minimum of 2 years of relevant professional experience including hands-on work with AI-powered solutions, with a bachelor's degree; or at least 2 years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD). In-depth knowledge of APIs, web services, and standard relational database concepts. Proven experience with JavaScript, AJAX, JSON, CSS, REST, SOAP, and HTML. Strong Python skills and hands-on experience building RESTful or GraphQL APIs. Demonstrated experience building GenAI solutions, agents, or conversational applications, exhibiting the ability to differentiate reasoning approaches like ReAct and Chain-of-Thought (CoT). Demonstrate ability to design and architect Agentic Systems, applying various agent architectures (symbolic, BDI, LLM-based) to design intelligent agents tailored for specific tasks and environments. Implement Core Agent Capabilities. Develop agents that can perceive, reason, plan, act, and learn, utilizing Python and relevant AI libraries and frameworks. Analyze and Evaluate Agent Behavior. Critically assess agent performance, understand the complexities of multi-agent systems and human-agent interaction, and identify risks. Navigate Ethical Landscapes. Identify, analyze, and address the ethical challenges and safety considerations inherent in developing and deploying autonomous AI systems, applying principles of responsible AI. Apply Agentic AI to Solve Problems. Conceptualize and build functional AI agents for practical applications, demonstrating the ability to integrate diverse concepts into cohesive business solutions. Deep understanding of prompt engineering concepts, LLM fine-tuning, and retrieval-augmented generation (RAG). Familiarity with MCP servers or comparable model-serving/hosting platforms. Excellent problem-solving skills, strong communication, and a collaborative attitude. Strong analytical skills with the ability to extensively analyze and improve business processes and workflows. Demonstrated expertise in designing, implementing, and optimizing AI-driven functionalities integrated with ServiceNow, such as custom Agentic AI skills, GenAI integrations, and intelligent automation. Strong technical background in ServiceNow-specific development tools and frameworks (UI Policies, UI Macros, UI Pages, Client Scripts, Script Includes, Business Rules, Mid Server Configuration & Architecture, Import Sets, Transform Maps, Update Sets). Strong knowledge of the CMDB, data modeling, data strategies, and integrations. Knowledge of ServiceNow ITSM/ITOM product portfolio including Change Management, Discovery, and Service Mapping. Relevant certifications such as Certified ServiceNow Admin (CSA), Certified Implementation Specialist (CIS), or Certified Application Developer (CAD) are highly desirable. Information for US Applicants For roles located in the US, the estimated salary range for this position is $124,300.00 to $ 198,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Visa will accept applications for this role until at least 09-30-2026 Job Description We are seeking a highly skilled AI developer with deep expertise in Agentic and Generative AI to drive the next wave of intelligent automation and digital transformation. In this role, you will be at the forefront of designing, implementing, and optimizing AI-powered solutions integrated into the ServiceNow platform. Your primary focus will be on leveraging artificial intelligence, including custom MCP tooling, Agentic scoped applications, and third-party Large Language Models-to enhance workflows, automate complex processes, and deliver innovative business outcomes. You will architect and build custom AI solutions and ensure seamless user experiences through intelligent automation. As a thought leader in AI, you will collaborate with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and contribute to Visa's enterprise AI strategy. In addition to your AI responsibilities, you will develop and configure integrations between ServiceNow and other enterprise applications, manage the full lifecycle of these integrations (from API development and scripting to framework deployment), and ensure robust, secure, and scalable connections. Roles and responsibilities: Designing, developing, and optimizing AI-powered solutions (built within the ServiceNow platform and/or integrated through external custom solutions), including the creation of custom MCP tooling and Agentic solutions. Leveraging AI solutions to integrate and orchestrate third-party Large Language Models (LLMs) such as OpenAI, Google Gemini, etc, driving intelligent automation and enhanced user experiences. Collaborating with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and deliver innovative, AI-driven business outcomes. Troubleshooting and resolving issues with ServiceNow configurations and AI components, ensuring seamless operation and reliability. Identifying requirement gaps to ensure high-quality solutions and providing configuration options with clear pros and cons. Designing and implementing intuitive, user-friendly software that enables customer-led customization and flexibility. Collaborating with internal customers and business analysts to clarify requirements and architect effective, AI-driven solutions. Authoring comprehensive technical design and build documentation for all facets of the technical infrastructure. Conducting research and analysis of existing systems to provide accurate time estimates and recommendations to project managers. Actively participating in project meetings and daily scrums to communicate development status, progress, and technical insights. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least September 30, 2026. Qualifications Basic Qualifications 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications Proven ability to deliver projects on time and within budget by writing high-quality code, mentoring junior developers, understanding workload and usage requirements, and producing clear technical documentation that enables knowledge transfer and long-term supportability across global teams. Experience designing robust, scalable, and moderately complex architectural solutions that integrate across a broader technical ecosystem, while effectively operating as a collaborative member of a globally distributed team across diverse time zones and cultures. Minimum of 2 years of relevant professional experience including hands-on work with AI-powered solutions, with a bachelor's degree; or at least 2 years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD). In-depth knowledge of APIs, web services, and standard relational database concepts. Proven experience with JavaScript, AJAX, JSON, CSS, REST, SOAP, and HTML. Strong Python skills and hands-on experience building RESTful or GraphQL APIs. Demonstrated experience building GenAI solutions, agents, or conversational applications, exhibiting the ability to differentiate reasoning approaches like ReAct and Chain-of-Thought (CoT). Demonstrate ability to design and architect Agentic Systems, applying various agent architectures (symbolic, BDI, LLM-based) to design intelligent agents tailored for specific tasks and environments. Implement Core Agent Capabilities. Develop agents that can perceive, reason, plan, act, and learn, utilizing Python and relevant AI libraries and frameworks. Analyze and Evaluate Agent Behavior. Critically assess agent performance, understand the complexities of multi-agent systems and human-agent interaction, and identify risks. Navigate Ethical Landscapes. Identify, analyze, and address the ethical challenges and safety considerations inherent in developing and deploying autonomous AI systems, applying principles of responsible AI. Apply Agentic AI to Solve Problems. Conceptualize and build functional AI agents for practical applications, demonstrating the ability to integrate diverse concepts into cohesive business solutions. Deep understanding of prompt engineering concepts, LLM fine-tuning, and retrieval-augmented generation (RAG). Familiarity with MCP servers or comparable model-serving/hosting platforms. Excellent problem-solving skills, strong communication, and a collaborative attitude. Strong analytical skills with the ability to extensively analyze and improve business processes and workflows. Demonstrated expertise in designing, implementing, and optimizing AI-driven functionalities integrated with ServiceNow, such as custom Agentic AI skills, GenAI integrations, and intelligent automation. Strong technical background in ServiceNow-specific development tools and frameworks (UI Policies, UI Macros, UI Pages, Client Scripts, Script Includes, Business Rules, Mid Server Configuration & Architecture, Import Sets, Transform Maps, Update Sets). Strong knowledge of the CMDB, data modeling, data strategies, and integrations. Knowledge of ServiceNow ITSM/ITOM product portfolio including Change Management, Discovery, and Service Mapping. Relevant certifications such as Certified ServiceNow Admin (CSA), Certified Implementation Specialist (CIS), or Certified Application Developer (CAD) are highly desirable. Information for US Applicants For roles located in the US, the estimated salary range for this position is $124,300.00 to $ 198,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We are seeking a highly skilled and experienced AI Systems Engineer to join our team. This is a hands-on, senior individual contributor role that will be pivotal in leading the development, operations, and support of our entire AI infrastructure. You will be responsible for the entire lifecycle of our AI systems, from architecting and building high-performance GPU clusters to deploying and optimizing our most advanced AI models and agentic services. Responsibilities AI Infrastructure Architecture & Strategy: Lead the design and implementation of our next-generation AI infrastructure to support our Agentic AI initiatives. You will define the technical strategy for our on-premise GPU clusters, storage solutions, and networking to ensure optimal performance, scalability, and reliability for all our AI workloads. Cloud AI Service Integration: Support and secure the use of public cloud AI services, including Azure OpenAI services and Google Cloud Platform (GCP) services like Gemini. This includes managing secure access, monitoring usage, and tracking billing to ensure cost-effectiveness. You will also have hands-on experience supporting compute, GPUs, and AI services on both GCP and Azure. Hands-on GPU Cluster Management: Take a leadership role in the configuration, installation, and optimization of GPU server clusters. This includes advanced troubleshooting of hardware and software, performance tuning, and implementing best practices for cluster utilization and resource management. You will be an expert in administering job schedulers like LSF in a production environment, including integration with Docker for containerized job submission. Full-Stack AI Tech Stack Development & Operations: Architect and deploy a robust and scalable AI tech stack. You will be responsible for the end-to-end operational lifecycle, including setting up and managing deep learning frameworks (PyTorch, TensorFlow), containerization with Docker and Kubernetes, and implementing CI/CD pipelines for AI model development. Advanced LLM Deployment & Optimization: Lead the deployment, serving, and optimization of Large Language Models (LLMs). You will be an expert in techniques such as model quantization, distillation, and using high-performance serving frameworks (e.g., vLLM, TGI, TensorRT-LLM) to maximize inference throughput and minimize latency. Agentic AI Workflow & Service Engineering: Architect and build production-grade Agentic AI workflows and services. You will be responsible for the technical design and implementation of systems that integrate LLMs with external tools, APIs, and databases, and will mentor other engineers on building robust and scalable AI agent applications. Automation & Monitoring: Develop and maintain automation scripts using languages like Python, Bash, or Perl to streamline system maintenance, deployment, and reporting. Implement and manage monitoring solutions for system health, job statuses, GPU utilization, and container performance to proactively identify and resolve issues. AI Systems Support & Mentorship: Act as the final escalation point for the most complex technical issues related to our AI infrastructure. You will also serve as a technical leader and mentor to other engineers, providing guidance on best practices in AI systems engineering, performance tuning, and operational excellence. Security and Compliance: Develop and implement security best practices for our AI systems and data, ensuring compliance with relevant regulations and protecting our intellectual property. Required Skills and Qualifications 10+ years of experience in a senior technical role, with at least 5 years focused on building and operating high-performance computing or AI infrastructure. Proven track record as a Principal or Senior Staff Engineer. Expert-level knowledge of NVIDIA GPU architecture and technologies like CUDA and cuDNN. Extensive experience with multi-GPU and multi-node training and inference. Proven experience with public cloud AI services, specifically managing access, usage, and billing for Azure OpenAI and Google Cloud Platform (GCP) services. Extensive hands-on experience with Docker: image management, container orchestration, and troubleshooting. Proficiency in scripting languages such as Python, Bash, or Perl. Deep expertise in Linux system administration (RHEL preferred), including networking, storage, and performance tuning. Familiarity with user authentication and integration using systems like LDAP or Active Directory. Strong problem-solving and communication skills with the ability to work in a multi-platform, cross-functional, and geographically distributed team. Preferred/Bonus Skills Understanding of AI job profiling and tuning (memory, GPU, I/O). Experience administering LSF clusters in a production or research environment. Familiarity with other job schedulers like Slurm is a plus. Experience with LSF Docker integration and job submission using container images. Experience with macOS/AppleSilicon system admin tasks and troubleshooting. The annual salary range for California is $136,500 to $253,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more. We're doing work that matters. Help us solve what others can't.
09/24/2026
Full time
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We are seeking a highly skilled and experienced AI Systems Engineer to join our team. This is a hands-on, senior individual contributor role that will be pivotal in leading the development, operations, and support of our entire AI infrastructure. You will be responsible for the entire lifecycle of our AI systems, from architecting and building high-performance GPU clusters to deploying and optimizing our most advanced AI models and agentic services. Responsibilities AI Infrastructure Architecture & Strategy: Lead the design and implementation of our next-generation AI infrastructure to support our Agentic AI initiatives. You will define the technical strategy for our on-premise GPU clusters, storage solutions, and networking to ensure optimal performance, scalability, and reliability for all our AI workloads. Cloud AI Service Integration: Support and secure the use of public cloud AI services, including Azure OpenAI services and Google Cloud Platform (GCP) services like Gemini. This includes managing secure access, monitoring usage, and tracking billing to ensure cost-effectiveness. You will also have hands-on experience supporting compute, GPUs, and AI services on both GCP and Azure. Hands-on GPU Cluster Management: Take a leadership role in the configuration, installation, and optimization of GPU server clusters. This includes advanced troubleshooting of hardware and software, performance tuning, and implementing best practices for cluster utilization and resource management. You will be an expert in administering job schedulers like LSF in a production environment, including integration with Docker for containerized job submission. Full-Stack AI Tech Stack Development & Operations: Architect and deploy a robust and scalable AI tech stack. You will be responsible for the end-to-end operational lifecycle, including setting up and managing deep learning frameworks (PyTorch, TensorFlow), containerization with Docker and Kubernetes, and implementing CI/CD pipelines for AI model development. Advanced LLM Deployment & Optimization: Lead the deployment, serving, and optimization of Large Language Models (LLMs). You will be an expert in techniques such as model quantization, distillation, and using high-performance serving frameworks (e.g., vLLM, TGI, TensorRT-LLM) to maximize inference throughput and minimize latency. Agentic AI Workflow & Service Engineering: Architect and build production-grade Agentic AI workflows and services. You will be responsible for the technical design and implementation of systems that integrate LLMs with external tools, APIs, and databases, and will mentor other engineers on building robust and scalable AI agent applications. Automation & Monitoring: Develop and maintain automation scripts using languages like Python, Bash, or Perl to streamline system maintenance, deployment, and reporting. Implement and manage monitoring solutions for system health, job statuses, GPU utilization, and container performance to proactively identify and resolve issues. AI Systems Support & Mentorship: Act as the final escalation point for the most complex technical issues related to our AI infrastructure. You will also serve as a technical leader and mentor to other engineers, providing guidance on best practices in AI systems engineering, performance tuning, and operational excellence. Security and Compliance: Develop and implement security best practices for our AI systems and data, ensuring compliance with relevant regulations and protecting our intellectual property. Required Skills and Qualifications 10+ years of experience in a senior technical role, with at least 5 years focused on building and operating high-performance computing or AI infrastructure. Proven track record as a Principal or Senior Staff Engineer. Expert-level knowledge of NVIDIA GPU architecture and technologies like CUDA and cuDNN. Extensive experience with multi-GPU and multi-node training and inference. Proven experience with public cloud AI services, specifically managing access, usage, and billing for Azure OpenAI and Google Cloud Platform (GCP) services. Extensive hands-on experience with Docker: image management, container orchestration, and troubleshooting. Proficiency in scripting languages such as Python, Bash, or Perl. Deep expertise in Linux system administration (RHEL preferred), including networking, storage, and performance tuning. Familiarity with user authentication and integration using systems like LDAP or Active Directory. Strong problem-solving and communication skills with the ability to work in a multi-platform, cross-functional, and geographically distributed team. Preferred/Bonus Skills Understanding of AI job profiling and tuning (memory, GPU, I/O). Experience administering LSF clusters in a production or research environment. Familiarity with other job schedulers like Slurm is a plus. Experience with LSF Docker integration and job submission using container images. Experience with macOS/AppleSilicon system admin tasks and troubleshooting. The annual salary range for California is $136,500 to $253,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more. We're doing work that matters. Help us solve what others can't.