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We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar.
In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.
At GM’s manufacturing technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.
Key Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds) • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Required Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools • Familiarity with 3D vision, sensor modeling, and domain randomization techniques • Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2) • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity) • Background in industrial automation, autonomous vehicles, or robotic manipulation • Publications or contributions in simulation, synthetic data, or robotics venues (e.g.
ICRA, RSS, CVPR) • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker
Job Title: ML Engineer
Location: Richardson, TX
Duration: Full Time
Seeking a ML Engineer with expertise in Computer Vision, Edge AI deployment, GCP cloud services, and retail domain workflows. Candidate will be responsible for designing scalable ML pipelines, optimizing CV models for edge devices, and operationalizing AI solutions in production environments using MLOPS framework for Model Management. Candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on GCP cloud.
Required Qualifications:
- Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
- At least 4 years of experience in Information Technology
- Strong hands-on experience with MLOps, model deployment, CI/CD, and monitoring.
- Proficiency in Computer Vision frameworks: OpenCV, TensorFlow, PyTorch, ONNX, YOLO, etc
- Experience deploying AI models on edge devices, Deepstream, Nvidia Services
- Advanced Python development skills with experience in designing scalable ml systems, automations, sdk, multiprocessing etc
- Hands-on with containerization, model optimization, and hardware acceleration
- Solid understanding of data pipelines, feature stores, and ML model lifecycle
- Implementation of MLOps tools like Grafana, Prometheus, Poetry, Snyk and others
Preferred Qualifications:
- Experience with GCP cloud services and Kubernetes
- Experienced in Agile way of working, manage team effort and track through JIRA
- Certifications in GCP, MLOps and Computer vision Technology
- High Impact client communication
- Domain experience with Retail Clients
- Strong problem-solving skills and ability to evaluate multiple solution paths
- Excellent communication and stakeholder management skills
Position title:
Assistant/Associate/Full Researcher
Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $199,700- $357,200.
Percent time:
100%
Anticipated start:
Winter/Spring 2026
Position duration:
Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
Open date: February 26, 2026
Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.
The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.
This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.
As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.
Key Responsibilities:
*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.
*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.
*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.
*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.
*Publish research findings in high-impact journals and presenting at scientific conferences.
*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.
*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.
*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).
*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.
*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.
*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.
*Organize and plan on the design and development of new AI techniques to further ABC's mission.
Lab:
Qualifications
Basic qualifications (required at time of application)
PhD (or equivalent international degree)
Additional qualifications (required at time of start)
Two (2) years of post PhD research experience.
For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.
For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.
Preferred qualifications
*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.
*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.
*Strong publication record indicating research independence and leadership.
*Excellent communication, organizational, and leadership skills.
*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.
*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.
*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.
*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.
*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).
*Expertise in programming in C/C++, MATLAB, Bash.
*Expertise in databases, data infrastructure, data governance.
*Expertise in high performance computing using SLURM or LSF.
*Experience with PyTorch, JAX, or Tensorflow.
*Experience with NVIDIA CUDA and related OpenMP programming.
*Experience with cloud services (AWS, GCP, Azure, etc.).
*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).
*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.
*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.
*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.
*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.
*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05214
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
Position title:
Project Scientist
Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $181,700 - $229,700.
Percent time:
100%
Anticipated start:
Winter/Spring 2026
Position duration:
Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
Open date: February 25, 2026
Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.
The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.
The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.
Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.
Key Responsibilities
*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.
*Design, build, and maintain new software packages for efficient data processing.
*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.
*General organization and management of software documentation.
*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.
*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.
*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.
*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.
These positions will be eligible for full benefits.
Lab:
Contract: ar-contract-2022/
Qualifications
Basic qualifications (required at time of application)
*PhD (or equivalent international degree)
Additional qualifications (required at time of start)
*Minimum of four years of postdoctoral research experience
*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience
*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience
Preferred qualifications
*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field
*Demonstrated record of productivity and publications and/or scholarly contributions
*Strong biological background and understanding of molecular biology
*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras
*Demonstrated ability to work in a research team, manage active collaborations with other academic groups
*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)
*Expertise in programming in C++, Labview, MATLAB, Python
*Expertise in databases, data infrastructure, data governance
*Expertise in high performance computing using SLURM or LSF
*Experience with PyTorch, JAX, or Tensorflow
*Experience with NVIDIA CUDA and related OpenMP programming
*Experience with cloud services (AWS, GCP, Azure, etc)
*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc
*Experience mentoring undergraduate/graduate students, and/or technicians.
*Experience with professional speaking engagements
*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers
*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position
Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05256
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
As a Hivemind Build and CI engineer, you will design and implement engineering centric automation across the organization. You will work closely with the product development teams implementing policies and guidelines into the continuous integration and delivery systems. This role requires you to be very hands on and contribute to discussions with cross-functional teams across the organization. We embrace an attitude that focuses on solving the root cause of problems efficiently. A large part of your day to day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.
What you'll do:
- Own the Hivemind CI/CD system, engaging with autonomy developers and the Developer Experience team daily to support as needed.
- Manage and own the monitoring tool stack, focusing on build infrastructure metrics
- Manage and own internal build containers used by all of the Hivemind organization
- Support AI engineers with build issues, and educate on best practices
- Work closely with the Developer Experience team to improve engineering efficiency
Required qualifications:
- BS in computer science or related engineering field with 3+ years of professional experience.
- Experience with configuration management tools (Makefile, CMake, Conan, Bazel, etc.)
- Strong demonstrated proficiency in continuous integration/delivery (e.g. Github Actions, ADO, TeamCity, etc.).
- Strong understanding of C++ (or other compiled language), Linux and CMake
- Strong knowledge of APIs, web services, and identity access management
- Strong knowledge of containers (e.g. Docker, Podman, etc.).
- Strong knowledge of scripting languages (Bash, Python, PowerShell).
- Strong knowledge of Git.
- Strong system administration in Linux (w/ Windows a bonus).
- Strong desire to learn and grow on the job.
Preferred qualifications:
- Strong Experience with Conan Package Manager
- Experience with Rust in a production environment.
- Experience with Hardware in the Loop build/deploy/test systems
- Experience owning build infrastructure
- Experience with NVIDIA Jetson products
$120,000 - $180,000 a year
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI 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, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and keeping commerce human.
Salary Range: $252,000.00 - $328,000.00
What's the role? We are looking for a Senior Engineering Manager to lead our Models team. In this role, you will manage a team of motivated ICs to build the next generation of Etsy's models platform, which in turn will enable your customer teams to improve the quality of search, ads, recommendations, and other ML applications for nearly 100M buyers and over 5M sellers. Do you have a passion for training, serving and scaling machine learning models? Are you excited by the challenges of building a platform for diverse machine learning use cases? Are you motivated to lead and develop ICs at different stages of their careers? If so, this could be the perfect match. This opportunity is a full-time position reporting to the Director of Engineering for ML Enablement. This position will be in Brooklyn, NY or for remote candidates based in the United States.
What's this team like at Etsy? The Machine Learning Enablement Initiative builds and maintains a complete ecosystem of ML systems including our feature & embeddings store, model training, serving, orchestration and testing infrastructure. The Models team is responsible for the model catalog, APIs, and serving infrastructure that runs our online models at high scale (millions of inferences per second). It is a small team historically focused on operations, but transitioning to play a more direct role in the application layer. The team is presently leading Etsy's migration from Tensorflow to Pytorch, building upon an innovative architecture designed in-house and based on KServe, NVIDIA Triton, Apache Arrow, and Ray. We are using this opportunity to fill in historical gaps in automation, integration, and standardization across the ML platform. We aspire to unify modeling approaches across all major ML development teams at Etsy. This is a big, challenging opportunity to influence how models are created, trained, and deployed across the entire company!
What does the day-to-day look like? Meet with customers to understand their latest use cases. Work with your team and partners to translate those use cases into concrete requirements. Offer an informed point of view on engineering, system design, and machine learning considerations. Keep track of ongoing issues (stability, performance, cost) with models on the platform, and identify short-term fixes and long-term platform improvements. Maintain a product roadmap, lead agile processes and plan workstreams for a team of 4 ICs. Occasionally lead multi-functional \"tiger teams\" for dedicated projects. Coach your ICs and support their career development trajectories. Own and maintain the team's customer-facing surfaces: documentation, code examples, metrics, dashboards, UIs, launch announcements, etc. We are proud of our engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we've been solving on our Engineering blog. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualities that will help you thrive are: A strong track record of developing and serving machine learning models at scale, with at least 4 years in a leadership capacity (tech lead or EM) and 2 years as an engineering manager. You like to be deep in the technical work, but you can also build partnerships across teams in a highly collaborative environment. Passion for building platforms that don't just work, but that are easy to maintain and extend, and are delightful to use. You are a strong collaborator, communicator, and coach and you are passionate about helping the engineers around you grow and learn. You have 5+ years of experience building, iterating and solving complex problems with a significant backend component. Background and hands-on experience with Cloud technologies (Google Cloud, AWS, Kubernetes) is a plus.
Additional Information If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. 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, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
The Global Account Manager is responsible for developing and maintaining key customer accounts, working both independently and in collaboration with an account team. This role has both strategic and tactical responsibilities. The Global Account Manager ensures that Cohu is positioned for long‑term success with assigned customers by aligning internal resources and coordinating operational execution to meet or exceed customer requirements and expectations.
Essential Functions / Major Responsibilities
• Maintain overall responsibility for managing Cohu’s business and relationships with assigned customer accounts. Collaborate with global cross‑functional teams (Engineering, Manufacturing, Service, Sales, Finance, Operations) to communicate customer expectations and ensure Cohu is meeting bookings targets and achieving desired market share.
• Serve as the primary internal and external contact for customer issues. Lead meetings to define and present technical information and drive delivery schedule communications.
• Schedule and coordinate regular product reviews, management reviews, technology roadmap discussions, and other meetings to understand customer requirements, identify growth opportunities, and influence future business.
• Communicate regularly with customers as their primary point of escalation and incident management. Own customer issues, ensure timely resolution, and escalate to senior management when necessary.
• Build and cultivate strong relationships across multiple levels within customer organizations to achieve strategic selling objectives by influencing key stakeholders.
• Maintain visibility into customer operations and plans. Identify and address potential gaps in Cohu’s performance before they escalate. Monitor and communicate customer strategy shifts that may impact Cohu’s business.
• Create and deliver technical presentations as needed.
• Prepare and distribute regular reports documenting account activities, key events, status updates, and action items.
• Take ownership of customer satisfaction scorecards; address issues with urgency to maintain a high level of customer satisfaction.
• Prepare timely responses to RFQs and RFIs.
• Lead contract negotiations, collaborating with internal stakeholders to define negotiation strategies and achieve optimal results.
• Provide leadership in setting work priorities and schedules across the organization to support customer needs.
• Identify, define, and develop new business opportunities.
• Prepare accurate and timely forecasts.
• Coordinate and host customer meetings and conference calls. Lead or participate in Equipment User Group meetings as appropriate.
Qualifications
Education
• Bachelor’s degree, preferably in Engineering with emphasis in Mechanical, Electrical, or Mechatronics.
Experience
• Minimum of 5 years in the semiconductor equipment industry or related business, serving in a sales, service, or marketing capacity as a supplier or user of back‑end equipment.
• Experience working with customers manufacturing AI-, ML-, or HPC‑class semiconductor devices—such as Nvidia, Google, Microsoft, Apple, OpenAI (ChatGPT), or similar advanced computing chipmakers
Skills / Technical Requirements
• Ability to function successfully in a dynamic, high‑pressure environment while remaining calm, confident, and solutions‑focused.
• Strong interpersonal, communication (written and verbal), and negotiation skills.
• Demonstrated ability to apply situational leadership and collaborate effectively with all levels of internal and external stakeholders.
• Strong organizational and problem‑solving skills.
• Ability to maintain a sense of urgency and motivate cross‑functional teams to achieve objectives.
• Proficiency with Microsoft Office applications, particularly Excel and PowerPoint.
Job Conditions / Physical Demands
• Work is primarily performed in a typical office environment but includes regular time at customer sites and on factory floors.
• Domestic and international travel is required.
Protective Equipment
• Required in designated areas.
With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice.
Connect with Cohu…
Connect with your future…
Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category.
In addition, reasonable accommodations are available to qualified disabled individuals, upon request.
Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.
Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.
About This Role:
Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position.
What You’ll Be Working On:
- Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+).
- On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues.
- Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools.
- Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing.
- Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery.
- Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures.
- Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs).
What You’ll Bring to the Team:
- Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience.
- Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments.
- Version Control: Proficiency with Git for code management and collaboration.
- Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments.
- Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana).
- Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP).
- Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations.
- HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN).
Bonus Points:
- Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator.
- Cloud Expertise: Deep understanding of specific cloud platforms and services.
- Automation Skills: Experience with automation tools and scripting languages.
- Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions.
- Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues.
- Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology.
Benefits:
- Industry competitive pay
- Restricted Stock Units in a fast growing, well-funded technology company
- Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
- Employer contributions to HSA accounts
- Paid Parental Leave
- Paid life insurance, short-term and long-term disability
- Teladoc
- 401(k) with a 100% match up to 4% of salary
- Generous paid time off and holiday schedule
- Cell phone reimbursement
- Tuition reimbursement
- Subscription to the Calm app
- MetLife Legal
- Company paid commuter benefit; $300 per pay period
Compensation:
Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Immediate Supervisor: Manager on Duty (MOD)
Status: Nonexempt
Position Summary: This position performs basic operational duties to provide quality products and service to guests.
Essential Job Duties:
- Perform station duties (fountain & frozen, dresser, front swamp, back swamp, grill, switchboard, expeditor, food prep, and drive-thru (if applicable)) as assigned to meet operational standards
- Comply with all company policies, procedures, and operational standards
- Perform regular cleaning and sanitation duties including trash disposal, mopping, sweeping, washing dishes and food preparation tools, wiping counters, sanitizing food preparation areas, cleaning equipment, and emptying used grease pursuant to operational standards
- Regular attendance
Additional Duties:
- Report customer or employee complaints/issues to MOD
- Move and stock food product weighing up to 50 pounds
- Perform other job-related duties as assigned or required
Time/Shift Expectations: Irregular hours; nights; weekends; and holidays
Qualifications and Job Requirements:
- Knowledge/Skills
- General restaurant or retail knowledge
- Basic math and reading skills
- Effective verbal and written communication skills
- Ability to follow directions
- Multi-tasking skills
Work Environment: Continuous standing, bending, reaching, moving, stooping, stretching, and lifting in a restaurant environment; frequent exposure to heat and hot liquid shortening while cooking; frequent exposure to freezer when stocking food items; occasional exposure to extreme temperatures based on variable weather conditions
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