Engineer Ip Verification Jobs

Sr. Full Stack AI Software Engineer — Boise, ID - Main Site. Apply via Workday.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels. Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00. As a Member of Technical Staff, you will: Design and write high-performing and scalable software for training models. Develop new tools to support and accelerate research and LLM training. Coordinate with other

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff, you will: Design and write high-performant and scalable software for training. Improve our training setup from an infrastructure and codebase performance standpoint. Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure Research, implement, and experiment with ideas on our supercompute and data infrastructure

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization. The team combines expertise in software engineering, machine learning, and low-level kernel design and development to design robust systems and enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration. As a Member of Technical Staff, you will: Design and write high-performant and scalable software for training. Understand a

MTS, AI Optimized Memory Digital Design Engineer — 2 Locations. Apply via Workday.

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 Manufacturing Development Engineering (MDE) Shift Engineer in Films, Metals, and Implant, you will play a critical role in supporting 24/7 process development for next-generation DRAM technologies. Operating on a 12-hour rotating shift schedule , you will serve as the primary off-hours technical resource for development activities, helping ensure uninterrupted execution of development experiments and rapid technology learning. This position operates in a dynamic development environment where process conditions, specifications, and experimental flows frequently evolve. You will apply sound engineering judgment to disposition development wafers, respond to process and equipment challenges, support experimental execution, and balance development priorities with operational requirements. You will also apply advanced analytics, automation, and AI-enabled technologies to improve engineering decisions, increase learning velocity, and support Micron's digital manufacturing initiatives. Responsibilities Serve as the primary off-hours technical resource for development activities, making decisions on wafer disposition, tool release, process deviations, execution risks, and development priorities. Partner with Films, Metals, and Implant Process Development, Process Integration, Equipment Development, Manufacturing, and Shift Operations teams to resolve process and equipment issues, remove output constraints, and support experimental processing. Apply Statistical Process Control (SPC), E3, Fault Detection (FD)

Sr. Analyst, Software Development Engineer — CT - Hartford. Apply via Workday.

半導体エンジニア（2026・2027年卒／既卒歓迎）｜Semiconductor Engineer – Class of 2026/2027 & Recent Graduates — Hiroshima - Fab 15, Japan. Apply via Workday.

Staff/Senior PAC (Pump, Abatement, and Chiller) Engineer — Boise, ID - Main Site. Apply via Workday.

Staff/Senior Pump, Abatement, and Chiller Engineer — Hiroshima - Fab 15, Japan. Apply via Workday.

Senior Member of Technical Staff / Member of Technical Staff, DRAM Design Engineer, Next-generation HBM Architecture — Richardson, TX. Apply via Workday.

Principal/Staff, APTD - Advanced Packaging Wafer Level Technology Process Engineer — Fab 10A, Singapore. Apply via Workday.

Engineer - Operations (Wind) is responsible for supporting the operations activities of wind energy assets. This role involves executing daily maintenance tasks, ensuring efficient asset performance, and monitoring operational parameters. The Engineer will assist in improving asset reliability, optimizing processes, and maintaining compliance with safety, regulatory, and operational standards. Additionally, the Engineer will contribute to technology initiatives, assist in team development, and support financial and operational goals within the wind portfolio. Source: Adani Group | Job ID: 58131

Engineer - Engine Maintenance ensures operational readiness and reliability of dredgers and support crafts by conducting thorough maintenance and troubleshooting engine systems to maintain peak performance. Source: Adani Group | Job ID: 49728

Production Engineer is responsible for executing and optimizing production processes while ensuring quality, safety, and cost efficiency. The role supports daily operations, resource planning, and reporting to ensure seamless and effective precast production. Source: Adani Group | Job ID: 58548