Jobs in United States

Engineer 2 in United States

3,675 active opportunities · Updated October 2026

Explore current engineer 2 jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Berkeley, Macau S.a.r., United States
✓ Quality checkedCompany trend -20.1%

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

PythonAWSAzureDocker
N
📍 Santa Clara, United States
✓ Quality checkedCompany trend -13.7%

We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next-generation block storage capabilities and architects a proprietary distributed file system solution from its inception. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. What you’ll be doing: 100% hands-on coding role in C language, Kernel and Userspace Access advanced AI tools and a token budget for code development provided by NVIDIA, the world's AI factory leader. Research, design, implement and test, new and existing, distributed storage services and features of NVIDIA’s block and file storage solution, in both Host and DPU environments. Acquire understanding of the algorithms, the technicalities and the interaction with other components across NVIDIA’s block and file storage ecosystem. Analyze and solve challenging bugs and customer cases in la

M
📍 Manassas, VA - Fab 6, United States
✓ Quality checkedCompany trend -72%

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 Operations Shift Engineer at Micron Technology, Inc. in Manassas, VA (MTV), you will be responsible for investigating, improving and maintaining measurement recipes within the Metrology department. You will work with applications team and shift team members within the department as well as shift engineers from other process areas to investigate and resolve any measurement recipe related issues as well as equipment related issues occurring within the fabrication line! Responsibilities: Resolve recipe issues with line monitoring, analyze tools, identify root cause, and intensify to process engineering teams. Engage process areas regarding measurement and inspection recipe related investigations and works with their engineering teams to identify plan of action. Involves themselves in fab-wide events that may have impacted production quality. Can organize and drive RDA/Metrology shift actions to respond to such events! Works with first shift engineers to understand recipe related concerns and is involved in execution of shift actions that are associated with such work. This includes creating recipes for new part types on all toolsets and creating custom recipes with GDM for difficult lots. Process DTS case closures and MWR’s. Provide real-time feedback to shift team members when there are any issues that are identified with these documentations. Manage WIP in the area by monitoring lots and KPI holds in the area. Ensure proper focus is placed on prior

AIRecruitment
M
📍 Boise, ID - Main Site, United States
✓ Quality checkedCompany trend -72%

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 Thin Films Equipment Engineering team at Micron develops and enhances advanced semiconductor manufacturing equipment in a fast-paced research and development environment. The team works closely with Process Engineering, Facilities Engineering, and equipment suppliers to enable next-generation memory technologies and achieve world-class equipment performance. Through innovation, collaboration, and data-driven decision-making, the team plays a critical role in advancing semiconductor technology development. As a Thin Films Equipment Engineering Intern, you will gain hands-on experience working with groundbreaking semiconductor equipment and processes. You will support engineering projects focused on equipment optimization, data analysis, and technology development while collaborating with multi-functional teams. This role provides exposure to semiconductor manufacturing, experimental design, and the application of advanced analytics to solve complex engineering challenges. Responsibilities Collect, analyze, and interpret equipment and process data to find opportunities for performance optimization and continuous improvement. Support structured engineering experiments, document findings, and communicate results through technical reports and presentations. Collaborate with Equipment Engineering, Process Engineering, Facilities Engineering, and equipment suppliers to address technology-development challenges and improve equipment performance. Develop an understanding of equipment hardware,

PythonSQLMachine LearningArtificial Intelligence
I
📍 Oregon, Hillsboro, United States
✓ Quality checkedCompany trend +116%

Job Details: Job Description: This position is in the Intel Mask Operations within the Logic Technology Development team working in one of the most advanced semiconductor process technologies in the world. In this position the engineer will be an integral contributor to the ongoing production of photolithography masks for Intel's leading-edge silicon manufacturing solutions. In this position, you will work on-site, in a dynamic and collaborative environment solving complex and challenging technical problems on sophisticated manufacturing processes and equipment. As IMO module Engineer the responsibilities may include but not limited to: Process equipment installation and development. Equipment maintenance, management of troubleshooting activities, regular monitoring of process performance, defect analysis and reduction. Drives improvements on quality, reliability, cost, yield, process stability/capability, productivity, and safety/ergonomics. Working with cross functional teams to solve technical process and defect issues. Plans and conducts experiments to fully characterize the process throughout the development cycle. Establishes control systems to optimize and sustain production performance. Develops strategies to resolve difficult problems and establishes systems to manage these problems in the future. An ideal candidate should exhibit the below behavioral traits: Experience with rapid analysis of complex process issues and identification of a solution path Willing to work Independently with minimal direction, to be self-directing and show initiative Communication skills and demonstrated ability to summarize complex d

SQLRecruitment
B
📍 Berkeley, Macau S.a.r., United States
✓ Quality checkedCompany trend -20.1%

Tactical RF Sensors Subsystem Lead Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Tactical RF Sensors Subsystem Lead Engineer to be the lead for sensor subsystem in Berkeley, MO , supporting a proprietary Air Dominance Fixed Wing program . You will be joining a fast-paced program where you will be responsible for developing and integrating complex, highly integrated, radio frequency (RF) sensor systems. In this role, you will be joining a cross-functional team integrating next generation capabilities as part of a very exciting and critically important development effort. Your role will be to oversee and coordinate the work of a team of engineers throughout the various stages of the program development life cycle. You will have the opportunity to operate in an agile development environment to mature our products, work on next generation open-architecture model-based designs, and to collaborate across multiple disciplines. The day-to-day activities of this position will be a combination of traditional design engineering, coordinating the daily activity of the engineering team, overseeing and approving technical work, collaborating with cross-functional peers, and presenting technical challenges and solutions to leadership. Frequent interaction with program leadership, customers, and industry partners during critical design phases will be key elements of this position. This position will provide the candidate an opportunity to develop their engineering skills with potential growth into a leadership role. Position Responsibilities: Coordinate the daily activity of an engineering team using agile toolsets (JIRA, Confluence, etc.) Provide technical l

Recruitment
B
📍 Berkeley, Macau S.a.r., United States
✓ Quality checkedCompany trend -20.1%

Senior Low Observables (LO) Mission Systems Integration Engineer Company: The Boeing Company The Senior LO Mission Systems Integration Engineer will lead design, integration, analysis, test, and production activities for low observable materials, structures, apertures, sensors, and radomes for mission systems. The role requires strong technical leadership, independent execution of complex tasks, advanced use of computational electromagnetic (CEM) solvers, and the ability to produce and defend technical results with minimal oversight. Key Responsibilities Lead design, modeling, and analysis efforts for LO materials, coatings, structures, and integrated mission systems to meet signature reduction and performance requirements. Independently apply CEM solvers (e.g., FEKO, HFSS, CST, WIPL‑D, xFDTD, or equivalent) to model antennas, apertures, radomes, and LO treatments; perform design optimization and trade studies. Drive integration of LO treatments with mechanical, thermal, and sensor/antenna system constraints; identify and mitigate producibility, testability, and sustainment risks. Plan, execute, and oversee laboratory and field tests (anechoic chamber measurements, antenna/radome characterization, RCS measurements); lead data collection, reduction, and validation activities. Develop and validate predictive models, reconcile simulations with measurements, perform uncertainty quantification, and provide actionable recommendations to engineering and program leadership. Produce high-quality technical documentation: test plans, test reports, technical memoranda, design reviews, and customer briefings. Mentor and provide technical oversight to junior engineers and technicians; ensure adherence to engineering processes, qual

PythonRecruitment
B
📍 Berkeley, Macau S.a.r., United States
✓ Quality checkedCompany trend -20.1%

Experienced Low Observables Mission Systems Integration Engineer Company: The Boeing Company We are seeking a Low Observables (LO) Design & Integration Engineer to support design and analysis activities for stealth/low-signature systems. The engineer will perform LO material and structure design, electromagnetic analysis, integration and test support, data processing, and technical reporting. The role requires practical experience with LO materials and technologies, solid electromagnetics knowledge, and hands-on expertise with computational electromagnetic (CEM) solvers used to design and optimize LO solutions. Key Responsibilities Perform design and analysis tasks for LO materials, coatings, treatments, and structural treatments to minimize radar, infrared, and other signatures. Develop and validate LO integration concepts for aircraft/vehicle structures and subsystems, including manufacturability and testability considerations. Use CEM solvers to model, simulate, and optimize LO components and systems (e.g., surface treatments, RAM, apertures, seams, RAM-structure interactions). Perform sensitivity studies and trade-offs across materials, geometry, and integration approaches to meet system-level LO requirements. Process and analyze measured test data from laboratory and flight/field tests; compare test results to simulation and iterate designs. Produce technical documentation: detailed analysis reports, integration guidance, test plans, and summaries suitable for engineering and program management audiences. Communicate technical results and recommendations to multidisciplinary teams and support design reviews. Support manufacturing and test engineering to ensure LO design intent is preserved through fab

PythonRecruitment
H
📍 Texas, United States of America, United States
✓ Quality checkedCompany trend -5.2%

$147.1K – $230.9K/yr

Principal Embedded Firmware and Software Engineer Description - We are seeking a Principal Embedded Firmware & Software Engineer to lead the design, development, and debugging of embedded software and firmware for computer systems. In this role, you will combine deep, hands-on engineering expertise with system-level technical leadership to ensure seamless integration between software and hardware components, delivering reliable and efficient system performance. You will collaborate closely with cross-functional teams including hardware engineers, software developers, QA, and product managers to bring high-quality products to market. Responsibilities Provide technical leadership for the architecture, development, security, integration, debugging, validation, and deployment of embedded firmware and software including BIOS/UEFI, EFI applications and drivers, embedded controllers, and RTOS-based systems. Analyze hardware and system architectures to define firmware requirements, dependencies, interfaces, integration strategies, and validation approaches. Troubleshoot and resolve firmware issues by designing and implementing enhancements, updates, and programming changes across firmware subsystems. Define and drive firmware integration, verification, and validation strategies, including automated testing, regression testing, and continuous integration . Develop and improve engineering tools and automation using Python and other appropriate technologies for development, debugging, testing, analysis, and validation. Advance CI/CD and DevSecOps practices for embedded development to improve engineering velocity, quality, traceability, and release confidence. Evaluate and apply AI-assisted software development and engineering tools where they can improve developer productivity,

PythonGitLinuxAI
N
📍 Santa Clara, United States
✓ Quality checkedCompany trend -13.7%

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created communication libraries like NCCL, NVSHMEM & technology like GPUDirect -- for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. Communication performance between the GPUs has a direct impact on AI applications. Your work in AI toolkits will make all of those easier for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models. Improve AI compilers to hide communications or perform automatic fusion. Conduct in-depth AI workload performance characterization on multi-GPU clusters. Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads. Author

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