research engineer

Mirage

<div><p>Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would &mdash; dramatically improving productivity for experienced teams, while making video creation accessible to anyone.<br>
<br>
We&rsquo;re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you&rsquo;ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression.</p><p><b><br>
More about us</b></p><p>
Product<b> </b>(Captions by Mirage)
</p><p>Research<b> </b>(Seeing Voices, technical-white-paper)</p><p>
Updates<b> </b>(Mirage on X / twitter)</p><p>
TechCrunch, Forbes AI 50, Fast Company (press)</p><p><b><br>
Our Investors</b></p><p>
We&rsquo;re very fortunate to have some the best investors and entrepreneurs backing us, including <b>Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz,</b> <b>General Catalyst</b>, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.</p><p><i>
Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
</i></p><p><b>About the Role</b><br>
Mirage is seeking an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You'll develop new approaches for building and extending agentic systems that understand and operate over complex, real-world data, particularly video.</p><p>
This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media.</p><p><b>
Responsibilities</b></p><ul><li><p>
Design and build end-to-end agentic systems for creative tasks</p></li><li><p>
Develop novel approaches for training and adapting the large language models that power these agents</p></li><li><p>
Design new objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability</p></li><li><p>
Explore multimodal reasoning and structured generation for creative control</p></li><li><p>
Run systematic experiments to evaluate and improve agent performance in real-world tasks</p></li><li><p>
Design evaluation frameworks for agentic workflows in video analysis and editing</p></li><li><p>
Analyze failure modes across the full agent loop (planning, tool use, execution) and iterate on improvements</p></li></ul><p><b>
What makes you a great fit</b></p><ul><li><p>
BS/MS/PhD in CS, ML, or related field</p></li><li><p>
Strong track record building production ML systems or agentic pipelines</p></li><li><p>
Deep understanding of transformers and modern LLM techniques</p></li><li><p>
Experience with fine-tuning, alignment, or post-training methods, especially for adapting models to generate structured outputs or drive tool use</p></li><li><p>
Comfort owning the full stack, from model-level experiments to deployed agent systems</p></li><li><p>
Strong experimental rigor and good taste for what makes agents actually work in practice</p></li></ul><h3 class="jobSectionHeader"><b>
Benefits:</b></h3><ul><li><p>
Comprehensive medical, dental, and vision plans</p></li><li><p>
401K with employer match</p></li><li><p>
Commuter Benefits</p></li><li><p>
Catered lunch multiple days per week</p></li><li><p>
Dinner stipend every night if you're working late and want a bite!
</p></li><li><p>Grubhub subscription</p></li><li><p>
Health &amp; Wellness Perks</p></li><li><p>
Multiple team offsites per year with team events every month</p></li><li><p>
Generous PTO policy</p></li></ul><p>
Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p><p><i>
Please note benefits apply to full time employees only.</i></p><p>
Compensation Range: $175K - $275K</p></div>

Research Engineer, Agentic Systems

<div><p>Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would &mdash; dramatically improving productivity for experienced teams, while making video creation accessible to anyone.<br>
<br>
We&rsquo;re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you&rsquo;ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression.</p><p><b><br>
More about us</b></p><p>
Product<b> </b>(Captions by Mirage)
</p><p>Research<b> </b>(Seeing Voices, technical-white-paper)</p><p>
Updates<b> </b>(Mirage on X / twitter)</p><p>
TechCrunch, Forbes AI 50, Fast Company (press)</p><p><b><br>
Our Investors</b></p><p>
We&rsquo;re very fortunate to have some the best investors and entrepreneurs backing us, including <b>Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz,</b> <b>General Catalyst</b>, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.</p><p><i>
Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
</i></p><p><b>About the Role</b><br>
Mirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You&rsquo;ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production.</p><p>
This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation.</p><p><b>
Responsibilities</b></p><ul><li><p>
Train and optimize large-scale video and multimodal models</p></li><li><p>
Improve efficiency across training and inference (memory, latency, cost)</p></li><li><p>
Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generation</p></li></ul><ul><li><p>
Build and maintain distributed training systems</p></li><li><p>
Optimize GPU utilization, parallelism, and throughput</p></li><li><p>
Develop tooling for experimentation, evaluation, and debugging</p></li></ul><ul><li><p>
Translate research models into robust, production-ready systems</p></li><li><p>
Monitor and improve model performance in real-world usage</p></li></ul><p><b>
What makes you a great fit</b></p><ul><li><p>
BS/MS/PhD in CS, ML, or related field</p></li><li><p>
2+ years of professional industry experience</p></li><li><p>
Strong experience in deep learning systems and infrastructure</p></li><li><p>
Expertise in PyTorch, CUDA, Triton, and distributed training (FSDP, etc.)</p></li></ul><ul><li><p>
Experience scaling and optimizing large models under low-latency inference constraints</p></li><li><p>
Strong debugging and performance profiling skills</p></li><li><p>
Ability to move quickly from prototype to production</p></li></ul><h3 class="jobSectionHeader"><b>
Benefits:</b></h3><ul><li><p>
Comprehensive medical, dental, and vision plans</p></li><li><p>
401K with employer match</p></li><li><p>
Commuter Benefits</p></li><li><p>
Catered lunch multiple days per week</p></li><li><p>
Dinner stipend every night if you're working late and want a bite!
</p></li><li><p>Grubhub subscription</p></li><li><p>
Health &amp; Wellness Perks</p></li><li><p>
Multiple team offsites per year with team events every month</p></li><li><p>
Generous PTO policy</p></li></ul><p>
Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p><p><i>
Please note benefits apply to full time employees only.</i></p><p>
Compensation Range: $175K - $275K</p></div>

Research Engineer, Generative Video

DeepMind

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>London, UK; Mountain View, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.</li>
<li>2 years of experience with software engineering involving Python-based ML/scientific libraries such as JAX or internship experience in these areas or Open Source Software (OSS) contributions.</li>
<li>1 year of experience with machine learning.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience with large-scale system design, distributed systems, or performance engineering.</li>
<li>A good understanding of engineering best practices, codebase design, and testing.</li>
<li>Familiarity with how modern large language models are trained.</li>
<li>Ability to collaborate with, and communicate effectively with, people with different skill sets and needs, and who may be distributed across different time zones.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.</p><p>
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.</p>
<p>
Artificial intelligence will be one of humanity&rsquo;s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.</p><div>
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Work on long term projects to enable new research, which involve multiple team members and require good software engineering and design.</li>
<li>Respond to time-sensitive issues arising in large-scale training runs, and in ongoing research.</li>
<li>Make systematic improvements to technical workflows and tooling used across pretraining.</li>
<li>Apply engineering expertise to help researchers navigate technical challenges. This requires both a deep understanding of the codebase and a broad understanding of the tech stack, the model architecture and data pipeline.</li>
<li>Develop the right balance between good engineering practices and having a flexible codebase which researchers find easy to use and extend.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Engineer, Gemini Large Scale Pretraining, DeepMind

Auburn University

<div>Pay Range: USD $73,090.00 - USD $278,210.00 /Yr. Overview:
<div><b>
This is a pooled posting. This posting will remain open for an extended period of time and selected applicants will be contacted as future staffing needs arise.</b></div><div></div><div><b><br>
This is a limited term appointment. Continuation of employment will be contingent upon the availability of funding.</b></div><div></div><div><b><br>
These positions will be located in Huntsville, AL</b></div><div></div><div><br>
Auburn University&rsquo;s Office of the Senior Vice President for Research and Economic Development and the Applied Research Institute (ARI) is seeking candidates for multiple Principal Research Scientist/Engineer positions in anticipation of securing contract funding across a broad range of engineering and scientific disciplines. Areas of focus may include modeling and simulation; systems engineering and integration; advanced and additive manufacturing; autonomous systems: robotics; electromagnetics, mechanical and electrical systems design, thermal and structural analysis, materials science and engineering; propulsion systems; and multi-program project management supporting government and industry sponsors.</div><div><br>
These positions are responsible for conducting advanced research to investigate, evaluate, and apply engineering and scientific principles. Incumbents will lead and contribute to innovative research initiatives, generate new knowledge, and support the development of practical solutions to complex technical challenges aligned with ARI&rsquo;s mission.</div><br>
Responsibilities:
<ul><li><div>
Leads research and development projects requiring the applications of professional engineering or scientific practices and principles.</div></li><li><div>
Provides technical contributions and develops concepts that lead to new leading-edge technologies/techniques/methods.</div></li><li><div>
Provides in-depth technical advice to other areas.</div></li><li><div>
Operates, maintains, and repairs specialized equipment.</div></li><li><div>
Advises faculty, postdocs, students, and staff with design, modification, prototype, processes, analysis procedures, and other engineering solutions.</div></li><li><div>
Designs and fabricates equipment, materials, systems utilizing engineering and scientific practices and principles.</div></li><li><div>
Ensures supplies are available and operational for use in projects.</div></li><li><div>
May manage local computer systems for laboratory functionality.</div></li><li><div>
Develops proposals, budgets, schedules and progress reports and presents results.</div></li><li><div>
Evaluates findings to develop new concepts, equipment, or processes</div></li><li><div>
Prepares technical reports for long and short-range planning.</div></li></ul>
Qualifications:
<ul><li><div>
PhD from an accredited institution Engineering, science, management information science (MIS), or related technical field.<br>
<ul><li>Level I: No experience required</li><li>Level II: 2 years of professional experience</li><li>Level III: 4 years of professional experience</li><li>Level IV: 6 years of professional experience</li><li>Level V: 8 years of professional experience</li><li>Level VI: 10 years of professional experience</li><li>Level VII:12 years of professional experience</li></ul></div><div>
Experience for Levels II-VII should be in engineering and research practices and principles or science-based programs.</div><div>
Candidates with a Bachelor&rsquo;s or Master&rsquo;s degree may substitute relevant experience toward the PhD requirement at the rate of two (2) years relevant experience per year of required education</div></li></ul>
Minimum Knowledge, Skills, and Abilities:
<ul><li>Knowledge of research principles, laboratory techniques, and safety procedures.</li><li>
Fully competent in all conventional aspects of subject matter or functional areas of assignments.</li></ul>
Why Work at Auburn:
<ul><li><b>Life-Changing Impact: </b>Our work changes lives through research, instruction, and outreach, making a lasting impact on our students, our communities, and the world.</li><li><b>
Culture of Excellence: </b>We are committed to leveraging our strengths, resources, collaboration, and innovation as a top employer in higher education.</li><li><b>
We&rsquo;re Here for You: </b>Auburn offers generous benefits, educational opportunities, and a culture of support and work/life balance.</li><li><b>
Sweet Home Alabama: </b>The Auburn/Opelika area offers southern charm, vibrant downtown scenes, top-ranked schools, and easy access to Atlanta, Birmingham, and the Gulf of Mexico beaches.</li><li><b>
A Place for Everyone: </b>Auburn is committed to fostering an environment where all faculty, staff, and students are welcomed, valued, respected, and engaged.</li><li><b>
Ready to lead and shape the future of higher education? Apply today! War Eagle!
</b></li></ul>Equal Opportunity Compliance Statement: It is our policy to provide equal employment and education opportunities for all individuals without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, age, disability, protected veteran status, genetic information, or any other classification protected by applicable law. Please visit the Office of Equal Opportunity Compliance's website to learn more.</div>

Principal Research Scientist/Engineer- Huntsville (Pool)

Rensselaer Polytechnic Institute

<p></p><div><p>Who we are</p>
<p><b>Why Rensselaer?</b> Join Rensselaer Polytechnic Institute's dynamic global community of changemaker including some of the world&rsquo;s leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity.</p>
<p>Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, one of the world&rsquo;s fastest supercomputers, and IBM's Quantum System One - the first university-based quantum computer in the world.</p>
<div><p>Over the past decade, the research portfolio at Rensselaer has been completely transformed. As a top-tier technological research university, Rensselaer has invested in strategic partnerships, talented researchers, and sophisticated research platforms to address the most pressing global challenges of the 21st century.</p>
<p>Today, the Rensselaer research enterprise comprises $104 million in annual research expenditures, supports a diverse range of research centers and platforms, and ensures the advancement of interdisciplinary research in six key areas:</p>
<ul><li>Life Science &amp; Biotechnology (Bioscience, Bio Manufacturing, Diagnosis)</li>
<li>Future Computing (Data / AI, High Performance Computing, Quantum, Bits/Neurons/Qubits)</li>
<li>Energy, Environment, and Sustainability (Energy Solutions, Built Environment, Freshwater, Sustainability)</li>
<li>Materials &amp; Manufacturing (Mat. Discovery, Mat. Processing, Advanced Manufacturing, Robotics)</li>
<li>Microelectronics (Mat. &amp; Metrology, Hardware Co-design, Computational Microelectronics, Hetero-integration)</li>
<li>Fundamental Knowledge (AstroX, Origins, Cognitive &amp; Social, Financial)</li>
</ul><p>The cross-disciplinary research leverages a convergence of expertise in materials, advanced manufacturing, and control systems, emphasizing synergistic integration of these fields to derive system-level solutions to complex technological challenges. The faculty's research interests encompass a broad spectrum of areas, including but not limited to energy materials, nanomaterials, nanocomposites, nanoscale heat transfer, thermoelectrics, nanomechanics, fiber-reinforced composites, additive manufacturing, nonlinear control systems, micromachining, spaceflight dynamics and control, tribology, nonlinear dynamics, nuclear materials, biomaterials, smart and adaptive materials, as well as computational approaches in nanomechanics and biomechanics.</p>
</div><div><div><div><p>The Office for Research collaborates with important external partners in the federal and state government, foundations and in industry to expand the impact our work and to support our world-class researchers as they improve lives, advance society, and change the world.</p>
</div></div></div><div><p>The mission of the Office for Research is to drive and support the Research Enterprise, increase Rensselaer impact and visibility, and communicate to the national and international community that Rensselaer researchers are defining the frontiers of discovery and innovation.</p>
</div><p>Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, # astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit www.rpi.edu.</p>
<p><b>Are you ready to change the world? Apply now!</b></p>
<p>Job Summary</p>
<p>Some of the areas that may be hiring researchers and research support positions in the area of Materials &amp; Manufacturing include:</p>
<ul><li>Materials Discovery</li>
<li>Materials Processing</li>
<li>Advanced Manufacturing</li>
<li>Robotics</li>
</ul><p>Note: The availability of positions is dependent on the availability of sponsored funding. Not all areas will have all positions, and some areas may be fully staffed.</p>
<p>Qualifications</p>
<ul><li>Postdoctoral Research Associate -
<ul><li>Candidates must have finished all requirements for their PhD or foreign equivalent at the beginning of their appointment</li>
</ul></li><li>Research Associate or (Sr.) Research Scientist -
<ul><li>Opportunities exist for those with a relevant advanced degree, publication record, and/or significant additional years of paid professional experience in a related position. Individuals who possess these qualifications and who have the potential to, or a demonstrated track record of being able to build collaborative external partnerships are especially desirable</li>
</ul></li><li>(Sr.) Research Specialist -
<ul><li>Positions require a relevant bachelor's degree / foreign equivalent or higher</li>
</ul></li><li>(Sr.) Research Engineer -</li>
<li>Research Assistant -
<ul><li>candidates must possess an associate's degree / foreign equivalent or relevant combination of experience, education and training</li>
</ul></li></ul><p>Pay transparency data:</p>
<p><b>Pay transparency disclosure:</b> The actual salary/wage that is provided to selected candidates will be determined based on factors that include the available budget, internal equity, and the needs of the department, and the final candidate&rsquo;s qualifications, experience, education, and other job-related credentials. The following hiring ranges are provided as Rensselaer&rsquo;s good faith estimate of the expected hiring range at the time of posting.</p>
<p>Postdoctoral Research Associate: $62,354 - $65,000 / yr
<br>
Research Associate: $64,000 - $66,000 / yr
<br>
Research Scientist: $66,000 - $95,000 / yr
<br>
Sr. Research Scientist: $80,000 - $138,000 / yr
<br>
***</p>
<p>Research Specialist $18.00 - $26.44 / hr
<br>
Sr. Research Specialist $62,354 - 66,000 / yr
<br>
***</p>
<p>Research Engineer: $66,000 - $86,000 / yr
<br>
Sr. Research Engineer: $87,000 &ndash; $95,000 / yr
<br>
***</p>
<p>Research Assistant: $16.00 - $22.00 / hr</p>
<p>Application instructions</p><p><br>
</p><p>Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter</p>
<p>If you need assistance with the online application process, please contact careers@rpi.edu</p>
Job Posted Date
<p>Applications will be accepted until the position is filled.</p>
<p>Total Compensation and Benefits Information</p>
Rensselaer&rsquo;s Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Rensselaer is recognized locally and nationally for the depth and breadth of its compensation and benefits program. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu).<div><br>
</div><div><p><i>Rensselaer Polytechnic Institute is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer Polytechnic Institute's work and campus communities. Rensselaer Polytechnic Institute </i><i>is an Equal Opportunity Employer.</i></p>
<p><i>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.</i></p></div><br>
<p></p><p>#LI-DNI</p></div><p></p>

Materials & Manufacturing Researchers

Synopsys

<div><div><b>Date posted</b> 07/29/2026
<h3 class="jobSectionHeader"><b>Category</b><b> Engineering</b><b> </b><b>Hire Type</b><b> Employee</b><b> </b><b>Job ID</b><b> 18292</b><b> </b><b>Base Salary Range</b><b> $101000-$151000</b><b> </b><b>Remote Eligible</b><b> No</b><b> </b><b>Date Posted</b><b> 07/29/2026</b><b>
</b></h3><div><b>Summary / Role Purpose</b></div><div></div><div>
The R&amp;D Engineer II contributes to the development of LS-DYNA and related software products. In this role, the R&amp;D Engineer II will collaborate with a team of expert professionals to understand customer requirements and accomplish development objectives. To be considered for this position, successful candidates must have an in-depth understanding of finite element method and related computational mechanics principles, strong programming skills, adequate academic or industrial experience in the related fields, and ability to work efficiently in a collaborative team environment.</div><div></div><div><b>
Key Duties and Responsibilities</b></div><div></div><div>
Performs moderately complex development activities, including the design, implementation, maintenance, testing and documentation of software modules and sub-systems</div><div>
Understands and employs best practices</div><div>
Performs moderately complex bug verification, release testing and beta support for assigned products. Researches problems discovered by QA or product support and develops solutions</div><div>
Understands the marketing requirements for a product, including target environment, performance criteria and competitive issues</div><div>
Works under the general supervision of a development manager</div><div></div><div><b>
Minimum Education/Certification Requirements and Experience</b></div><div></div><div>
Bachelor&rsquo;s Degree with 2 years of professional experience, or Master&rsquo;s Degree in Aerospace, Biomechanical, Mechanical Engineering, or other natural science discipline</div><div>
Working experience with technical software development proven by academic, research, or industry projects. Good understanding and skills in programming.</div><div>
MUST be located (or able to relocate) to Livermore, CA onsite at our Ansys office (hybrid working schedule is allowed)</div><div></div><div><b>
Preferred Qualifications and Skills</b></div><div></div><div>
Master&rsquo;s Degree or PhD Preferred</div><div>
Technical knowledge and experience with finite element simulation (e.g. LS-DYNA, Ansys), and CAD modeling.</div><div>
Background in computational solid mechanics, numerical methods, and preferably on high-performance computing on C/GPUs.</div><div>
Knowledge of fluid mechanics, electromagnetics, computational geometry, or computer graphics is an advantage but not a must.</div><div>
Experience with Fortran or C</div><div>
Good communication and interpersonal skills</div><div>
Ability to learn quickly and to collaborate with others in a geographically distributed team</div><div></div><div><br>
#LI-TS5</div>
<p></p><p>At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.</p><p></p>
<p></p><p>In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can</p></div></div><p></p>

R&D Engineering , Sr Engineer - 18292

Zscaler

<div><div><p>About <b>Zscaler</b></p>
<p>
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an <b>AI-forward enterprise</b>, we are constantly pushing the envelope, leveraging the world's largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.</p>
<p>
Here, <b>impact in your role matters more than title</b> and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value <b>constructive, honest debate</b>&mdash;we're focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on <b>customer obsession</b>, collaboration, ownership, and accountability.</p>
<p>
We value high-impact, high-accountability with a sense of urgency where you're enabled to do your best work and embrace your potential. If you're driven by purpose, thrive on solving complex challenges, and want to be part of the team that's helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.</p></div><p><b>
Role</b></p>
<p>
We are looking for a Principal, AI Research Engineer to join our AI &amp; Data Protection team. This role is hybrid based in San Jose, CA, and reports to the EVP, AI Security and Strategic Initiatives.</p>
<p>
Zscaler's mission is to secure the world's data in the age of AI. As the leader of the world's largest security cloud, the Zero Trust Exchange, we are uniquely positioned to define how the global enterprise safely adopts, scales, and secures Artificial Intelligence. You will be the primary architect of Zscaler's AI ecosystem, bridging the gap between our core Zero Trust platform and the rapidly evolving world of LLMs, GPU infrastructure, and AI application frameworks. This role is ideal for a technical leader who deeply understands the &quot;AI Stack&quot; and has a proven track record of building thriving developer and partner ecosystems at scale.</p>
<p><b>
What you'll do (Role Expectations)</b></p>
<ul>
<li>Define the AI Ecosystem Strategy by leading the vision for integrations with frontier model providers, vector database companies, and AI infrastructure leaders</li>
<li>Lead the &quot;Secure AI&quot; roadmap by owning the lifecycle for features that enable safe use of 3rd-party LLMs and prevent data leakage</li>
<li>Build a developer ecosystem by defining and launching APIs, SDKs, and integration patterns for &quot;Zero Trust-native&quot; applications</li>
<li>Drive market leadership and cross-functional partnerships to turn complex technical integrations into high-growth go-to-market motions</li>
</ul>
<p><b>Who You Are (Success Profile)</b></p>
<ul>
<li>You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.</li>
<li>You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.</li>
<li>You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.</li>
<li>You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback&mdash;knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.</li>
<li>You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.</li>
</ul>
<p><b>What We're Looking for (Minimum Qualifications)</b></p>
<ul>
<li>8+ years of experience in technical leadership or engineering partnerships with a history of building impactful industry relationships</li>
<li>Deep technical fluency in the AI lifecycle including training vs. inference, GPU roles, context windows, and RAG architectures</li>
<li>Ability to apply first-principles thinking to fundamental security and networking challenges in enterprise LLM deployment</li>
<li>Strong bias for action with a &quot;Ship Early, Iterate Fast&quot; mentality and focus on delivering high-value MVPs</li>
<li>Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain</li>
</ul>
<p><b>What Will Make You Stand Out (Preferred Qualifications)</b></p>
<ul>
<li>Proven track record of building thriving developer and partner ecosystems at scale</li>
<li>Deep understanding of the full &quot;AI Stack&quot; from inference and RAG to data governance</li>
<li>Experience in high-velocity environments where AI security and networking solutions are evolving daily</li>
</ul>
<p>#LI-Hybrid</p>
<p>
#LI-CM3</p><div><p>
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.</p>
<p>
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:</p>
<div>
<ul><li>Various health plans</li>
<li>Time off plans for vacation and sick time</li>
<li>Parental leave options</li>
<li>Retirement options</li>
<li>Education reimbursement</li>
<li>In-office perks, and more!</li>
</ul>
<div><p>Learn more about Zscaler's hybrid working model and benefits here.</p>
</div>
</div><p>By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.</p>
<p>
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. <i>See more information by clicking on the </i><i>Know Your Rights: Workplace Discrimination is Illegal </i><i>link.</i></p>
<p>
Pay Transparency</p>
<p>
Zscaler complies with all applicable federal, state, and local pay transparency rules.</p>
<p>
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.</p></div></div>

Principal, AI Research Engineering

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