Python Backend Engineer Jobs

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. <

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling. Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods. In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions. You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 5&#43;, MSEE with 3&#43;, or PhD wi

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. About the Team At Micron Technology, we transform how the world uses information to enrich life for all. The Heterogeneous Integration Group (HIG) HBM Architecture team develops future High-Bandwidth Memory (HBM) architectures, PHY design methodologies, and automation solutions that enable next-generation AI, high-performance computing, networking, and data center applications. The team works closely with Architecture, Design Engineering, Verification, Product Engineering, and external partners to advance memory technologies while improving design quality, productivity, and development efficiency. Position Overview As a Senior or Graduate Engineering Intern, you will collaborate with experienced HBM architects and engineers to support the development of digital design methodologies, automation frameworks, timing analysis flows, and architecture validation solutions for next-generation HBM PHY and IO subsystems. This role offers hands-on experience in digital design, verification, automation, and timing analysis, while providing opportunities to leverage AI Assisted engineering workflows, Large Language Models (LLMs), and Generative AI tools to enhance engineering productivity and design efficiency. Responsibilities Support digital design, integration, and timing analysis activities for HBM PHY and IO subsystems, including timing constraint development and timing closure efforts. Develop an

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Architect Team As a member of the Delivery Architect team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Architect, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Perform development work and technical support related to our data transformation and ETL jobs in support of a global data warehouse. Can communicate results with internal customers. Requires the ability to work independently, as well as in cooperation with a variety of customers and other technical professionals. What you'll be doing Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation jobs. Can explain technical solutions and resolutions with internal customers and communicate feedback to the ETL team. Perform technical code reviews for peers moving code into production. Perform and review integration testing before production migrations. Provide high level of technical support, and perform root cause analysis for problems experienced within area of

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. The Site Inventory Control (SIC) team is at the forefront of our ambitious expansion efforts. SIC plays a pivotal role in connecting wafer starts, inventory strategy, cycle time management, output delivery, and factory execution. As a Senior Engineer for Fab 4 HVM SIC, you will be the operational hub, driving alignment between Technology Development (TD), High Volume Manufacturing (HVM), Probe, Supply Chain, Planning, and Engineering organizations. This outstanding opportunity allows you to lead the charge in optimizing inventory and cycle time performance while ensuring flawless factory execution! We are looking for individuals who thrive on collaboration and tackling complex operational challenges. You'll have the chance to bring to bear data to drive decisions and implement AI-enabled solutions to improve speed, accuracy, and decision-making. Responsibilities: Lead multi-functional initiatives for wafer starts, inventory, cycle time, and output performance to support business commitments Develop and improve inventory control methodologies, business processes, and operational metrics and recommend corrective actions Develop and implement inventory, priority, and capacity strategies for New Product Introduction (NPI) programs Foster coordination between Technology Development, High Volume Manufacturing, Supply Chain, Planning, and Engineering teams to optimize inventory positions and factory flow Identify and mitigate constraints, risks, and op

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. Department Intro: Join our Process QE team in Taiwan, where we drive innovation and excellence in process quality control and user-friendly and reliable manufacturing system environments. We empower our team members to make a tangible impact on the world. Position Overview: As a Process QE Technician, you will focus on one function within the multifaceted realm of process quality engineering. You will support engineers with routine tasks and collaborate on engineering projects. This outstanding opportunity will allow you to develop your skills in a collaborative and inclusive environment, where your contributions will be valued and your growth supported. Responsibilities: Follow SOPs to perform routines such as system settings, document control, and metrics maintenance. Tasks change based on the function assigned in process QE. Collaborate with senior engineers to analyze and resolve technical issues with detailed solutions. Initiate solutions using Micron's tools to improve labor efficiency and mitigate risks during conversion. Contribute to the continuous improvement of engineering processes and practices. Qualifications & Skills: Proven ability to work in a team-oriented, collaborative environment. Determined and proactive approach to learning and tackling

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. The AI Engineer, People Technology is responsible for designing, developing, and deploying AI-powered solutions that transform work across the People Organization. This role combines software engineering, AI development, and HR domain expertise to build intelligent applications, automations, and agents that improve employee experiences, increase operational efficiency, and accelerate workforce transformation. The ideal candidate is a hands-on builder with demonstrated experience using AI Assisted Software Development Platforms to develop enterprise AI solutions. You must have successfully designed and deployed AI agents that collaborate across multiple platforms, systems, and business functions while operating within enterprise governance, security, and compliance standards. This role requires deep knowledge of HR technologies, including Workday, ServiceNow, and the Microsoft Copilot ecosystem, along with a passion for applying AI to solve complex business challenges. Responsibilities: AI Product & Solution Development: Experience with the end-to-end product lifecycle turning a vision into a roadmap while driving adoption and value delivery. Design, develop, test, and deploy AI-powered products, applications, and intelligent workflow solutions. Apply AI Assisted Development Tools to accelerate software development, solution building, and deployment activities. Support authorities in translating business needs into developed solutions and prototypes. Develop reusable frameworks, ser

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. Job Responsibility Lead long-term loading, cross-site capacity, workforce, and qualification readiness planning; perform scenario modeling and risk assessment for business changes, ramps, network shifts, and demand fluctuations. Drive CapEx, OpEx, budget, and cost-efficiency planning through financial modeling, variance analysis, and collaboration with Finance and Operations teams. Improve labor productivity and operational performance through KPI management and analytics, including LPI, OT%, utilization, bottlenecks, and equipment effectiveness. Ensure qualification readiness by aligning capacity, hardware, software, systems, and resources to support successful qualification execution. Develop and standardize planning methodologies, data governance frameworks, reporting processes, and management dashboards across Global Quality Operations. Utilize SQL, Python, Power BI, Tableau, and automation technologies to build predictive planning models, automate recurring processes, and generate actionable business insights. Apply company-approved AI and automation technologies, including Microsoft 365 Copilot, Azure OpenAI-based solutions, Power Automate, UiPath, Genie Lab, and other enterprise AI platforms to improve forecasting, reporting, decision support, workflow efficiency, and knowledge management.

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. Key Responsibilities Facility shift team. Day/Night rotate shift is required. Develop and implement comprehensive facility management programs to ensure detailed operations. Coordinate with internal teams and external vendors to maintain and upgrade facility infrastructure. Conduct regular inspections and assessments to determine the condition of facilities and implement preventive measures. Coordinate and lead all aspects of facility projects, ensuring they are completed on time and within budget. Ensure compliance with all safety and environmental regulations strictly. Provide technical support and troubleshooting for facility-related issues. Collaborate with cross-functional teams to successfully implement process improvements and cost-saving initiatives. Leverage approved Generative AI, AI Assistants, and digital technologies to enhance facility operations, process optimization, knowledge management, and operational excellence while ensuring the responsible use of Artificial Intelligence in accordance with Micron policies. Requirements To be considered for this role, you should have: A bachelor’s degree in engineering, Facilities Management, or a related field, or equivalent experience. Proven experience in facility engineerin

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Asana is seeking an experienced IT Systems Engineer (Identity) to join our growing IT Team and support the critical systems that keep IT moving forward. The ideal candidate will be focused on increasing IT efficiency through automation, and improving the end-user experience. Based in our Vancouver office, you will be primarily responsible for the support and implementation of our internal and cloud based IT identity infrastructure and applications. As an Identity Engineer, you will support and implement our internal and cloud-based IT identity infrastructure and applications to increase efficiency through automation. You will collaborate with cross-functional teams to improve the end-user experience while maintaining a crisp and detail-oriented focus on our identity systems. By leveraging your passion for technology and automation, you will play a critical role in scaling Asana's global IT operations. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive efficiency by implementing automated SSO on-boarding and off-boarding processes. Empower the organization through expert administration and support of Google Workspace, Slack, and Asana. Design and deliver security policies in partnership with the Security team to protect our global user base. Scale IT services by identifying and executing on high-impact automation opportunities. Standardize and automate routine IT

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. About the role: You would work on real hardware, not simulators: racks of pre-release APs and switches, RF test equipment, and the automation that gates every release. You will spend your time finding out why a link negotiated at 100M instead of 10G, why a client did not roam cleanly between APs, or why PoE came up wrong after a reboot, and then building the automated test that catches it next time. Responsibilities: Validate WiFi and switching firmware on pre-release hardware in our lab; Build and maintain the automated test suites that gate firmware releases; Investigate failures down to root cause and escalate to firmware owners with evidence; Turn each recurring field issue into permanent regression coverage; Extend our lab tooling and CI pipelines. Requirements: 2+ years of experience with Python; Solid networking fundamentals: VLANs, routing, WiFi, firewalls; Experience with CI (Jenkins or similar) and Linux/Bash; Experience with AI tools - Claude, Codex, etc; Fluent in English and Latvian. Nice to have: Experience with Jenkins DSL (Groovy), JavaScript, Terraform; Network or system administration background; Embedded or hardware test experience; RF or wireless testing background. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of peo

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. About the role: You would work on real hardware, not simulators: racks of pre-release APs and switches, RF test equipment, and the automation that gates every release. You will spend your time finding out why a link negotiated at 100M instead of 10G, why a client did not roam cleanly between APs, or why PoE came up wrong after a reboot, and then building the automated test that catches it next time. Responsibilities: Validate WiFi and switching firmware on pre-release hardware in our lab; Build and maintain the automated test suites that gate firmware releases; Investigate failures down to root cause and escalate to firmware owners with evidence; Turn each recurring field issue into permanent regression coverage; Extend our lab tooling and CI pipelines. Requirements: 2+ years of experience with Python; Solid networking fundamentals: VLANs, routing, WiFi, firewalls; Experience with CI (Jenkins or similar) and Linux/Bash; Experience with AI tools - Claude, Codex, etc; Fluent in English and Lithuanian; Based in or willing to relocate to Kaunas, as this role needs hands on hardware! Nice to have: Experience with Jenkins DSL (Groovy), JavaScript, Terraform; Network or system administration background; Embedded or hardware test experience; RF or wireless testing background. Benefits: International work environment and work with g

About the Team Our Cyber team builds AI systems and products that help trusted defenders understand and respond to cyber threats while improving the safety and reliability of frontier models in security-sensitive settings. The team works across product engineering, model training, evaluations, safeguards, and deployment to make advanced cyber capabilities useful to defenders and responsibly managed. We collaborate closely with Safety/Preparedness, Research, Security, Legal, Communications, GTM, and external partners across OpenAI’s broader cyber work. About the Role We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data. This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases. In this role, you will: Help define and execute the technical roadmap for Codex Cyber’s security products, including evaluations, safeguards, trusted-defender workflows, and deployment decisions. Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities. Shape cyber-specific model training and access patterns, including data, evaluations, validation, and deployment criteria. Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice. Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company-wide cyber priorities. Translate frontier cyber research into launch-ready tools, operational playbooks, and durable infrastructure for Codex and security products. You might thrive in this role if you: Enjoy 0 -> 1 envi