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Remote Euv Lithography Research Engineer Jobs (NOW HIRING)

Aerostar, a business unit of TCOM, is seeking a Staff Research Engineer to help lead the ... Remote candidates will not be prioritized. Physical Requirements & Working Conditions: * Physical ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS We are seeking an experienced Research and Development Engineer to manage ...

Principal Security Research Engineer

Austin, TX ยท On-site +1

$158K - $205K/yr

This is a full-time remote role supporting a hybrid workforce. What You'll Do: * Design, implement ... Be the subject matter expert on Security Research Engineering and the data acquisition process.

DTEX is seeking a highly skilled and mission-driven Threat Intel Research Engineer to join our ... Flexibility - Work in a hybrid or remote environment that balances collaboration with autonomy.

$158K/yr

Fully remote work environment with global collaboration opportunities. * Exposure to large-scale AI ... Collaboration with experienced researchers, engineers, and AI specialists. * Professional growth ...

Incident responder or detection engineer roles * Demonstrated ability to progress threat research ... Prior experience in customer-facing technical roles (consulting, remote support, or advisory)

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Remote Euv Lithography Research Engineer information

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$37K

$106K

$142.5K

How much do remote euv lithography research engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for remote euv lithography research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is a Remote EUV Lithography Research Engineer?

A Remote EUV Lithography Research Engineer is a specialist who studies and develops extreme ultraviolet (EUV) lithography technology, typically for the semiconductor manufacturing industry, while working remotely. Their main tasks include conducting experiments, analyzing data, and collaborating with teams to improve EUV lithography processes used in creating advanced microchips. This role often requires expertise in physics, optics, and materials science, as well as familiarity with simulation tools and cleanroom protocols. Working remotely, they may use virtual collaboration tools and remote access to laboratory equipment to perform their duties effectively.

What are the key skills and qualifications needed to thrive as a Remote EUV Lithography Research Engineer, and why are they important?

To thrive as a Remote EUV Lithography Research Engineer, you need a strong background in physics, optics, semiconductor fabrication, and typically a master's or Ph.D. in engineering or a related field. Familiarity with EUV lithography tools, simulation software (such as LithoSim or PROLITH), and data analysis platforms is essential, along with experience in remote collaboration technologies. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These skills and qualities are crucial for advancing lithography technology, troubleshooting complex systems, and collaborating efficiently with global teams.

What are some common challenges faced by Remote EUV Lithography Research Engineers, and how can they be addressed?

Remote EUV Lithography Research Engineers often encounter challenges related to coordinating experiments and troubleshooting equipment without direct, on-site access to advanced lithography facilities. Effective communication with on-site teams and leveraging remote monitoring tools are critical for success. Staying updated with the latest simulation software and maintaining detailed documentation can help bridge the gap between remote and physical operations. Building strong collaborative relationships with cross-functional teams, such as process engineers and equipment technicians, also aids in resolving technical issues more efficiently.

What is the difference between Remote Euv Lithography Research Engineer vs Remote Semiconductor Process Engineer?

AspectRemote Euv Lithography Research EngineerRemote Semiconductor Process Engineer
Required CredentialsAdvanced degree in physics, materials science, or engineering; specialized knowledge in lithography techniquesBachelor's or master's in electrical engineering, materials science, or related field; process engineering certifications
Work EnvironmentResearch labs, R&D departments, collaborative projects with equipment manufacturersManufacturing facilities, process development labs, cross-functional teams
Industry UsageSemiconductor fabrication, advanced chip manufacturing, research institutionsSemiconductor production, device fabrication, process optimization

The Remote Euv Lithography Research Engineer focuses on developing and improving lithography techniques for chip manufacturing, often working in research settings. In contrast, the Remote Semiconductor Process Engineer concentrates on optimizing manufacturing processes in production environments. Both roles require technical expertise but differ in their focus on research versus process implementation.

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What job categories do people searching Remote Euv Lithography Research Engineer jobs look for? The top searched job categories for Remote Euv Lithography Research Engineer jobs are:

Systems Research Engineer, GPU Programming

Together AI

San Francisco, CA โ€ข On-site, Remote

$160K - $230K/yr

Other

Medical

Posted 9 days ago


Job description

About the Role

As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.

Requirements
  • Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
  • Knowledge of ML/AI applications and models
  • Knowledge of performance profiling and optimization tools for GPU programming
  • Excellent problem-solving and analytical skills
  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences
Responsibilities
  • Optimize and fine-tune GPU code to achieve better performance and scalability
  • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
  • Stay up-to-date with the latest advancements in GPU programming techniques and technologies
About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy ย