Python Engineer Jobs

Associate and Mid-Level Software Engineers Company: The Boeing Company The Boeing Company is looking for an Associate or Mid-Level Software Engineer to join our team in Berkeley, MO. Position Responsibilities: Lab Environment Provisioning: Design, provision, and maintain scalable lab environments on-premises and on cloud platforms (Azure, AWS) using Infrastructure as Code (IaC) tools such as Terraform and Ansible. Automated Integration Testing Orchestration: Develop and manage automated integration testing workflows that aggregate inputs from multiple program segments, ensuring comprehensive test coverage and timely feedback. Deployment Management: Manage and optimize automated deployment pipelines and mechanisms for both physical and virtual systems, ensuring reliable and repeatable software delivery. Data-Driven Feedback & Reporting: Orchestrate processes to collect, analyze, and deliver comprehensive feedback on product stability, performance, and integration issues to segment development teams, enabling continuous improvement. Collaboration & Communication: Work closely with cross-functional teams including development, QA, security, and physical lab team to align deployment strategies, testing requirements, and environment configurations. Security & Compliance: Integrate security best practices into provisioning, deploying, and testing processes, supporting compliance with relevant standards and frameworks. This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experien

We are looking for a Senior System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN solutions for NVIDIA's AI Clouds hosting GPU-accelerated workloads — including hyperscale multi-node training, inference, cloud gaming, and cloud functions. This role spans the full lifecycle of our SDN stack — from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response. What you'll be doing: Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow) Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes Drive upstream contributions to OVN-Kubernetes and related open-source projects Develop software for network observability — monitoring, telemetry, intelligent metering, and performance analysis Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments Own end-to-end observability for the SDN stack — build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure Drive reliability through incident management, resource monitoring, and performance tuning<

At NVIDIA, we are at the forefront of technological innovation, pushing the boundaries of AI and accelerated computing. Our team in Santa Clara, CA is looking for a Senior Software Engineer in Test to join us in this exciting journey. This is a ground breaking opportunity to work with powerful technology, collaborate with a world-class team, and make a significant impact in the industry. If you are passionate about AI and quality assurance, and thrive in a dynamic environment, this role is perfect for you! What you'll be doing: Accomplishing test cases to validate NVIDIA enterprise offerings, such as NIM, NeMo, and BioNeMo. Crafting, implementing, and maintaining automated test cases and supporting automation infrastructure. Collaborating with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and improve test plans. Investigating and bringing to bear AI capabilities to accelerate the Quality Assurance (QA) process. What we need to see: MS or PhD degree in computer science or relevant field, or equivalent experience. At least 5&#43; years of professional experience in software testing. Proficiency in oral and written English. Comfort working with Linux OS. Strong skills in shell and Python programming. Strong knowledge of QA principles and background in software testing. Experience using AI development tools for crafting test plans, developing test cases, and automating test cases. Excellent problem-solving abilities. Strong interpersonal skills, quick learning ability, proactive approach, innovation, and dedication. Self-motivation and a passion for learning new hardcore technology. Knowledge in LLM and AI models is a plus. <

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. We are now looking for a Diagnostic NIC Software Engineer. The NPI Diag TW team is searching for Firmware Software Engineer to develop efficient secure and stable diagnostic firmware/software tools and scripts to enable factory build and debugging on NVIDIA products. In this role, engineers should be able to develop, maintain, debug CX/BF chip firmware/software and NBU Diagnostic software upon the next generation NVIDIA DGX/MGX servers, GPU baseboard, and PCIe cards. You will participate in a focused effort to develop and productize ground-breaking solutions that will be applied on many NVIDIA products. You'll find the work is exciting, fun, and meaningful. We have deadlines, customers, and competitions. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our firmware team, you will be a key leader responsible for the Firmware of our DGX/GPU software stack. What you'll be doing: Be involved in the definition, architectural design, and development of security Diag tool and test coverage planning for NVIDIA DGX products with an opportunity to craft its future. Assist with defining and making sure the software development process meets security and performance standards. Design and/or make recommendations for Network solutions that apply to our software to satisfy DGX/GPU server guidelines and requirements. Design Diag tool and scripts to make sure DGX/GPU products go for production smoothly. Design Diagnostic software to help validate GPU/CPU/NIC/DPU HW with good performance and quality. <

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which the GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As a Developer Technology Engineer you will be at the forefront of innovation, working with leading industry partners and exciting OSS projects to accelerate RTX & DGX SoC performance for agentic use. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the next era of enterprise and consumer AI. What you'll be doing: Own key engagements with our fast-paced developer ecosystem partners, optimizing their applications to deliver outstanding end-to-end performance on RTX and DGX SoCs. Take ownership of performance optimization for compute-intensive CPU, AI, and 3D graphics workloads, working with domain experts to identify bottlenecks and implement effective solutions. Work across system software, GPU driver, architecture, and NVIDIA Research teams to influence next-generation, high-performance SoC platforms by bringing real-world workflows and actionable insights from partner and customer needs. Provide technical guidance and mentorship to junior engineers while contributing to an inclusive and high-performing team environment. What we need to see: BS or MS degree in Computer Science, Engineering, Mathematics or related degree (or equivalent experience) 5&#43; years of respective work experience as software developer Proficiency in C/C&#43;&#43;, Python, software

We are seeking a Front-End Integration Engineer for the NIC Silicon group. Join our team at NVIDIA's Networking business unit and be part of the innovative build and implementation of the next generation Network Adapter Silicon chips. Contribute to the development of powerful communication devices. What You'll Be Doing: Own and maintain Continuous Integration pipelines. Monitor, complete, and fix daily and nightly CI flows in front-end build areas. These include Lint, Synthesis, Equivalence Checking and Simulation. Automate EDA Flows: Build, develop, and maintain robust automation scripts using Python, Tcl scripting, and Shell to integrate EDA tools (Synopsys, Cadence) into automated build pipelines. Manage Perforce Integration: Maintain multi-IP branch/stream strategies, manage workspace specs, complete hardware build drops, and handle release labels/tags in Perforce (Helix Core). Support Engineering Teams: Act as the primary point of contact for RTL and verification engineers to debug flow crashes, bottlenecks, environment setups, and CI failure reports. Enforce Quality Gates: Implement automated check-in and change list triggers to run sanity checks, linting, and style enforcement before code is committed to main streams. Optimize Infrastructure: Monitor compute farm resources (LSF) and storage usage to reduce pipeline runtime and improve overall execution efficiency. What We Need to See: Experience: 2&#43; years of hands-on industry experience in ASIC/SoC front-end integration, CAD, or EDA flow automation. Education: Bachelor’s degree or Master’s degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Perforce Expertise: Strong hands-on experience managing Perforce (P4 / Helix Core) streams, workspace specs, c

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Health100 is America's trusted front door to health and care. The Health100 platform integrates any participating health plan, PBM, pharmacy (retail and specialty), provider, digital health point solution provider, and employer, and addresses the top health care challenges for the consumer. We are looking for a hands-on, passionate engineering leader to join a high-energy, mission-driven team on the forefront of digital health innovation — reinventing how consumers engage with their health. As the Lead Director of Software Engineering, you will lead the strategic vision, development, and execution of our platform engineering roadmap. You will drive innovation, manage cross-functional teams, and ensure the delivery of high-quality products that exceed consumer expectations. As a key strategic leader, you will own integration strategy and execution across multiple domains, managing partner requirements, technical constraints, and external commitments while advancing platform modernization initiatives. You will partner closely with external stakeholders, understand their technical constraints and success criteria, and communicate risks and feasibility clearly in both technical and business terms. Responsibilities: </

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Metrology Overlay Process Development Engineer you will be primarily responsible for starting up, developing, and optimizing the overlay metrology processes used for DRAM photolithography process flows. Overlay metrology is a critical need within the semiconductor industry, and in this position your responsibilities will include, but are not limited to: · Driving the understanding of new metrology technology and measurement techniques to ensure that our overlay measurement capabilities meet the precision, accuracy, and throughput required to meet our device overlay roadmaps · Partnering with metrology equipment vendors on continuous improvement of software/hardware and development of overlay techniques to support lithography process characterization, process optimization, and process control · Optimizing and maintaining the calibration of metrology systems that support our technology development · Working closely with process development and process integration engineers to optimize measurements for multiple device process flows and layer stacks · Developing applications on next generation processes and technologies within Fab 4 and qualification for tech

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s DRAM Design Engineering Group (DDEG) is where innovation meets excellence. We are advancing memory and storage technologies through collaborative engineering and creative problem-solving. Our team works at the forefront of semiconductor design, developing solutions that shape the future of memory products in a fast-paced, learning-focused environment. As a Design Verification Engineer, you will help develop next-generation memory technologies by verifying and optimizing digital and analog circuit designs. In this role, you will work closely with global multi-functional teams across the product lifecycle to deliver high-quality, manufacturable memory solutions that meet performance, reliability, cost, and customer requirements. Your work will directly contribute to bringing advanced memory products from concept to production. Responsibilities: Verify circuit functionality, reliability, power, and compliance with product specifications Drive verification planning, coverage closure, circuit debug, and design improvements Perform circuit modeling and simulation using industry-standard tools Support silicon validation, reticle experiments, and tape-out activities Partner with engineering, manufacturing, and product teams to deliver manufacturable designs Minimum Qualifications: Bachelor’s degree in Electrical Engineering or a related field 4&#43; years of semiconductor design, verifi

Job Details: Job Description: We are looking for a PERC Runset Development Engineer to develop and Validate PERC (Programmable Electrical Rule Checker) rule decks. The role involves working closely with PDK Team and foundry to implement PERC and ensure design compliance. Key Responsibilities: • Rule Development: Develop, validate, and maintain complex PERC rule decks to identify electrical reliability violations (e.g., ESD paths, current density, voltage stress, and floating gates). • Multi-Tool Integration: Develop and optimize verification flows across multiple EDA environments, ensuring consistency in results between Calibre PERC( preferred), Cadence Pegasus, and Synopsys tools. • Cross-Functional Collaboration: Work closely with Device Physicists, Process Integration Engineers, and Analog Designers to translate reliability requirements into programmable rules. • Debug and Analysis: Provide expert-level support to design teams in debugging PERC violations, distinguishing between true reliability risks and tool-induced false positives. • Automation: Develop scripts (Python, SKILL, Tcl, or Perl) to automate the execution, reporting, and tracking of reliability checks across different design versions. • Documentation: Maintain detailed documentation of reliability check-sets and create guidelines for designers to implement correct-by-construction layouts. Qualifications: Required Skills: • Experience with PERC rule development (preferably using Calibre PERC). • Knowledge of ESD, latch-up and reliability verification. • Familiarity with SVRF, TVF, Python or Tcl scripting. • Strong debugging and problem-solving skills. • Knowledge of Linux and scripting (Python/Shell/Tcl) is desirable. • Experience with advanced technology nodes is an advantage. • Team player and be able to work with globa

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU & SOC acts as the brains of computers, robots, and self-driving cars that can understand the world. We are looking for Design Validation Engineer in Taipei for board/system power qualification and function test, responsible for NVIDIA Data Center platform, Graphics board, ARM Based platform and Autonomous Driving Platform. If you're creative and autonomous, we want to hear from you! What you'll be doing: Server/Motherboard/Mobile system functionality test. Clock/Sequency/GPIO signal measurement and verification. WAT (wide area test) function test. Gaming test. High/Low speed interface SI test. Co-work with hardware design engineers on debug and FA. Co-work with mechanical/thermal engineers for cooler/heatsink design. What we need to see: Masters degree in EE, computer science, or relative majors. Proficient with Linux system and GPU setup. Capable of writing simple shell scripts and analyzing test results using commands. Familiar with PC and Datacenter system hardware assembly, MB BIOS upgrade, and network troubleshooting Proficient with a programming language (C/C&#43;&#43;, Python, Java, or Perl) Understand UEFI boot OS startup process and out-of-band (

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What you will be doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuous

We are seeking a highly skilled and experienced Staff Network Site Reliability Engineer (SRE) to join our Enterprise Network Operations and SRE team. In this role, you will be pivotal in implementing our vision for a reliable and efficient network infrastructure. The ideal candidate is passionate about network operations and committed to enhancing the user experience. You'll have the opportunity to solve complex network challenges using hands-on debugging and by focusing on network automation, observability, documentation, and operational excellence. This is a critical position focused on ensuring user satisfaction and brilliance in network operations. What you'll be doing: Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability, actively working on network incidents and service requests. Partnering with architecture and deployment teams to guarantee that new implementations are supportable and align with production standards. Advocating for and implementing automation to reduce toil and improve operational efficiency. Minimizing manual operational tasks to achieve and maintain Service Level Objectives (SLOs). Monitoring network performance, identifying areas for improvement, and collaborating with relevant teams to implement refinements. Proactively identifying and mitigating network risks to promote continuous improvement. Collaborating with domain experts across functions to resolve production issues swiftly and effectively, ensuring customer happiness. Conducting blameless postmortems and following through on Root Cause Analyses (RCAs). Discovering opportunities for operational improvements and teaming up with colleagues to devise solutions that enhance excellence and sustainability in network operations. Developing knowledge base articles for automa

We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing. What you'll be doing: Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks. Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems. Collaborate with business and IT teams to translate business requirements into AI-driven solutions. Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation. Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization. Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support. What we need to see: Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field. 6&#43; years of software engineering experience with strong proficiency in Python and backend application development. Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development. Experience integrating enterprise applications and building scalable, production-ready software solutions. Strong analytical, problem-solving, communicatio

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our Team Do you want to be an Information Security Lead at GoDaddy? GoDaddy’s Security organization is looking for a Cloud Security Engineer. We work out large-scale and cross-company security challenges while ensuring that partnership with the development and operational communities remains front of mind. At GoDaddy, Security Engineers apply their strong hands-on technical skills to craft scalable solutions for multiple problems. You must communicate with GoDaddy Engineering teams, perform security assessments, prioritize security risks, and design. We, as a team, implement high-quality security engineering solutions! What you'll get to do... The Senior Cloud Network Security Engineer will play a crucial role in designing, building, and securing large-scale, distributed cloud environments that support GoDaddy Services. This role operates at the intersection of cloud infrastructure, security architecture, and engineering execution. The successful candidate will collaborate closely with service teams, security leaders, and compliance partners to embed security-by-design principles into cloud services and internal platforms. This position requires advanced technical expertise in cloud-native security controls. It also needs a strong understanding of threat models in hyperscale environments. Additionally, it involves influencing architecture decisions across multiple teams. The role demands hands-on engineering, good judgment in ambiguous situations, and proficiency at translating security requirements into scalable, automated solutions. Bui