Senior Software Engineer jobs at MGM Studios

US, Nevada The SHOW comes alive at MGM Resorts International Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. THE JOB: The Lead Workforce Management & HR Systems Architect is responsible for defining and driving the strategy, design, development, and delivery of enterprise HR and Workforce Management systems and applications. This role oversees the architecture and implementation of foundational technologies that empower developers, employees, and contractors to work effectively, securely, and efficiently. The ideal candidate will serve as a trusted subject matter expert, partnering closely with business leaders, functional stakeholders, vendors, and IT security teams to deliver scalable, compliant, and high-performing solutions that support organizational goals. THE DAY-TO-DAY: * Design and maintain enterprise architectural roadmaps for Workforce Management and HR applications (e.g., ReadyOn, Workday, UKG Pro), ensuring alignment with organizational strategy and IT governance. * Serve as the lead architect, delivering secure, scalable, and compliant solutions that balance functional needs with robust technical design. * Define and govern integration strategies across HR and WFM systems to ensure interoperability, data integrity, and adherence to architectural frameworks. * Champion best practices for configuration, deployment, and life cycle management, ensuring consistency with enterprise architecture, security, and compliance standards. * Collaborate with product, business, and technical teams to translate requirements into sustainable architectural solutions and continuous improvement initiatives. * Stay ahead of emerging trends in Workforce Management, HR technology, and enterprise architecture, driving innovation, optimization, and a culture of excellence. THE IDEAL CANDIDATE: * Bachelor's degree in Computer Science, Information Systems, or Software Engineering preferred; Master's degree in Information Technology preferred. * 5+ years of experience building and delivering Workforce Management and HR technology solutions, with 3+ years in IT architecture preferred. * Proven track record of leading enterprise-level architectural initiatives with strong expertise in SDLC, Agile, and ITIL practices, environment strategy, and release/change management. * Demonstrated proficiency in integration architecture, including APIs, event-driven design, data modeling, and governance frameworks, with hands-on experience in platforms such as ReadyOn, Workday, or UKG Pro preferred. * Exceptional communication, collaboration, and problem-solving skills with the ability to influence cross-functional stakeholders and partner effectively with infrastructure and security teams. * Strong leadership and innovation mindset with a commitment to continuous improvement, secure design, and the delivery of scalable, compliant SaaS and on-premise solutions. THE PERKS & BENEFITS: * Wellness incentive programs to help you stay healthy physically and mentally * Access to company hotel, food and beverage, retail, and entertainment discounts as well as discounts with company partners on things like travel, electronics, online shopping, and more * Free meals in our employee dining room * Free parking * Health & Income Protection benefits (for eligible employees) * Professional and personal development through programs and networking opportunities as well as volunteer opportunities in the community VIEW JOB DESCRIPTION: ************************************************************************** Are you ready to JOIN THE SHOW? Apply today!

Annapurna Labs develops the silicon used in our most advanced machine learning accelerator servers, utilizing the latest process nodes and massively scaled server clusters to provide the best hardware platform to customers for both inference and training workloads. We are seeking a mid-career semiconductor test engineer with a background in classic ATE platforms to create a clean running extremely low DPPM product-line forming the foundation to our servers. As our final product is a server, not just the silicon, you will find yourself stretching beyond structural testing and incorporating a lot more mission profile testing, utilizing a variety of external controlling ICs, porting server management and customer run-time software, including the use of virtualized machines and specific microcontrollers found in the end application. As such a curious mindset and an urge to learn system architecture will greatly benefit you in this role. We are a nurturing and supporting group that will ensure you have access to all tools, code and mentorship needed to become effective in this exciting new way of working! Key job responsibilities Core deliverables you will be responsible for: -Hardware development for probe, final test, system level test. -Software development for each insert -General tool development support A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. - Work in a startup-like development environment, where you're always working on the most important stuff. About the team AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS- Bachelor's In Electrical engineering or Computer Science - 2+ years of experience in C/C++ and/or Microsoft VBA/VBT and terminal shell environments - 2+ years on Advantest 93K, Teradyne IGXL based testers or other system level testers PREFERRED QUALIFICATIONS- Familiar with LUA, python, shell scripting - Compilers, generating SOs and DLLs from large code bases - Experience with JMP, Optimal plus. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Chassis Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of cutting edge Machine Learning products our customers demand. Key job responsibilities - Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers. - Continuously collaborate with other server and board software teams responsible for accelerator management firmware and other programmable logic devices. - Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment. - Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing. A day in the life The MLA Chassis Software team was formed to focus on board firmware primarily for mission-mode control of sensors and other board-level hardware. This includes debug, testing, qualification, and manufacturing. We touch technologies from device drivers to the I2C infrastructure pervasive in the server and everything in between. We are not working on machine learning algorithms, but rather we work on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, and device control are our bread and butter. Some of us know what a Tensor is but really it's not what we do. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - Experience writing software for DDR/HBM controllers and PHYs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

We're seeking a Software Development Manager to lead our Frameworks team within AWS Neuron, the software stack powering AWS Inferentia and Trainium machine learning accelerators. This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you will lead and mentor a high-performing team of software engineers while driving the development and maintenance of critical Neuron framework components. You'll drive cross-functional collaboration with compiler, runtime, and kernel development teams to ensure seamless integration of Neuron with major machine learning frameworks. You will also contribute technically by reviewing designs and implementing features. A crucial aspect of your role will be building and nurturing strategic relationships with open-source communities, particularly with JAX, OpenXLA, and PyTorch/XLA. You'll work closely with these communities to align framework development roadmaps with Neuron's strategic objectives, ensuring our customers have access to the latest ML framework innovations. In this role, you'll be instrumental in shaping how developers interact with AWS's machine learning accelerators, ensuring our customers can easily adopt and benefit from the latest advancements in ML frameworks. The position offers an opportunity to work at the intersection of cloud computing, machine learning, and open-source software, while leading a team that directly influences the future of ML acceleration at AWS. The ideal candidate will bring proven experience managing software development teams and a strong background in machine learning frameworks and acceleration software. You should have a demonstrable track record of successful open-source collaboration and contributions, along with experience working with ML frameworks such as PyTorch or JAX. Excellence in cross-functional team leadership and communication is essential. Key job responsibilities * Responsible for the overall systems development life cycle * Management and execution against project plans and delivery commitments * Manage the day-to-day activities of the engineering team * Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team * Report on status of development, quality, operations, and system performance to management BASIC QUALIFICATIONS- 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. Explore the product and our history! ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize kernel-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement compiler optimizations such as fusion, sharding, tiling, and scheduling * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative kernel optimization techniques About the team #1. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. #2. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. #3. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. #4. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. #5. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 6+ years of full software development experience - Expertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architectures - Experience with GPU kernel optimization and GPGPU computing such as CUDA, NKI, Triton, OpenCL, SYCL, or ROCm - Demonstrated experience with NVIDIA PTX and/or AMD GPU ISA - Experience developing high performance libraries for HPC applications - Proficiency in low-level performance optimization for GPUs - Experience with LLVM/MLIR backend development for GPUs - Knowledge of ML frameworks (PyTorch, TensorFlow) and their GPU backends - Experience with parallel programming and optimization techniques - Understanding of GPU memory hierarchies and optimization strategies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Role: GCP Data Engineer Must Have Skills: 7+ Years of experience with GCP , Python , Pyspark , SQL GCP Services - Bigquery , Dataproc , Pub/sub , GCP Dataflow. The client will take - Coderpad interview so Python coding is strongly required here.

Worlds, headquartered in Dallas, Texas, is at the forefront of developing and deploying Artificial Intelligence for the physical world. The Worlds AI platform is an end-to-end solution for creating applications that analyze live streaming video from a range of camera types. These systems are powered by our industry leading AI models for object detection. Our clients are using Worlds to solve new and emerging use cases that increase responsiveness and automation in their environment. Our clients are predominately Fortune 2000 and government. Our company is a team of builders who enjoy being part of a vibrant start-up culture and share a passion for learning and helping our customers create new and innovative solutions. Learn more about us at worlds.io and LinkedIn. Job Description: We are seeking a talented and enthusiastic Java/Go Developer to join our dynamic team. In this role, you will work closely with our senior developers to design, develop, and maintain software applications. You will gain hands-on experience in developing microservices, working with Spring Boot, and containerizing applications. This is an excellent opportunity for a recent graduate or someone with over 5 years of experience looking to grow their career in a supportive and innovative environment. Responsibilities: Collaborate with cross-functional teams to define, design, and ship new features for Worlds NQ , our flagship AI product. Develop and maintain software applications using Java and Go. Work with modern frameworks to create robust and scalable applications. Containerize and maintain applications using Docker and Kubernetes. Troubleshoot, debug, and optimize applications for performance and scalability. Contribute to integration and system test frameworks to ensure high quality of delivered enhancements. The above statements are intended to describe the general nature and level of work performed by employee assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software development using Java and/or Go. Familiarity with Spring Boot and microservices architecture. Experience with containerization technologies (Docker, Kubernetes). Basic understanding of RESTful API design and implementation. Knowledge of version control systems, preferably Git. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and challenges. Must be a US citizen. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of CI/CD pipelines and tools. Familiarity with SQL database technologies, specifically PostgreSQL. Experience with video formats and transformation libraries such as ffmpeg Benefits and Perks: - 100% employer-paid medical premiums for employees and dependents. - Comprehensive benefits including dental, vision, 401k, and disability. - Flexible workplace environment that includes remote and work-from-home options. - Employee stock options. Qualified candidates should send a cover letter and resume to *****************

Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit ************* What your impact will be As a Software Engineer Intern at Domino, you'll spend 10-12 weeks working alongside talented engineers from all backgrounds to help build the platform that powers how data science is done at some of the world's largest companies. Our interns are versatile and eager to learn, contributing across the full stack from backend services and APIs, to frontend features, to integrations with cloud providers like AWS, Azure, and GCP. Throughout your internship, you'll gain hands-on experience in designing, coding, testing, and delivering features that support real-world enterprise use cases. You'll work closely with experienced engineers, receive mentorship, and have opportunities to learn new technologies while making a meaningful impact on your team. At Domino, we trust our interns to contribute to important and visible projects from the start. You'll leave the program with practical engineering experience, exposure to scalable enterprise systems, and an understanding of what it means to build software at the intersection of data science and AI/ML. What we look for in this role Strong computer science fundamentals and experience with modern software engineering practices (algorithms, data structures, operating systems, networking, etc.) Proficiency with one or more of our core technologies: Python, Go, TypeScript, React, GraphQL, Kubernetes, Docker, Postgres, Redis, Kafka. Excitement about learning new technologies and contributing to scalable enterprise systems Graduating in Spring 2027 or later, currently pursuing a Bachelor's or Master's degree in Computer Science or a related field What we value We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success We believe in individuals who seek truth and speak the truth and can be their whole selves at work We value all of you that believe improving is always possible. At Domino, everything is a work in progress - we can do better at everything We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company #LI-Remote The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Compensation Range $40-$45 USD

About the Role & Program: The Walt Disney Company has spent 100 years immersing audiences in new and stunning experiences using groundbreaking technology. Your work as a Disney intern would inspire innovation and bring fresh perspectives to impact guests and consumers worldwide. “We Power the Magic!” That's our motto at Disney Experiences Technology (DXT). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney! What You Will Do: This role is part of the B2B Products team and will support a team of software engineers in architecting and developing functionality on existing and new B2B products supporting Disney Experiences Technology. What You Will Do: · Design, develop, and code software functionality using standard frameworks and platforms · Deploy code to user-facing environments using release management best practices · Build, execute, and automate unit tests to validate functionality · Write documentation explaining the technical details behind the functionality · Configure applications to enable and modify functionality for end users · Support team in DevOps activities, including Agile sprint planning and daily scrum organization. Required Qualifications & Skills: · Knowledge and experience in one and/or more of the following programming languages (Java, Python, C++) · Knowledge and experience in APIs, including REST APIs and similar technologies · Proficiency with fundamental front-end languages such as HTML, CSS and JavaScript · Understanding of relational and non-relational databases (SQL, NoSQL), especially Oracle and/or PostgreSQL · Strong problem solving and analysis skills · Strong ability to work independently and follow through on assignment Preferred Qualifications & Skills: · Knowledge and experience with development on SaaS platforms · Familiarity with AWS Cloud infrastructure · Familiarity with Agile development framework and Software Development LifeCycle · Familiarity with JavaScript frameworks such as Angular, Node, and React · Experience with Enterprise applications such as Jira, Confluence, and Clarity PPM Education · Currently enrolled undergraduate student in an accredited college/university, pursuing a Bachelor's degree in Computer Science, Computer Engineering, Management Information Systems, Information Technology or related field Eligibility Requirements & Program Information: Be enrolled in an accredited college/university pursuing a degree taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program AND returning to school the semester/quarter following the internship OR currently participating in a Disney College Program or Disney Internship Be at least 18 years of age Possess unrestricted work authorization Have not completed one year of continual employment on a Disney internship or Disney College Program Able to provide own housing for the duration internship program in the Orlando, FL area We provide limited housing opportunities for Florida Based Professional Interns through American Campus Communities, for more information click here Able to provide/have reliable transportation to/from work The pay rate for this role in Orlando, FL is $42 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits, dependent on the level and position offered. To learn more about our benefits visit: **************************************** Job Posting Segment: DX Technology Job Posting Primary Business: Ops & Integration Primary Job Posting Category: Other Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-12-03

About us Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to ensure work gets done right. Our Workflow AI platform automatically documents and optimizes workflows so teams work smarter, faster, and more consistently. We're growing fast - since our founding in 2019, we've grown to over 5 million users across 600,000 businesses. Based in San Francisco, we've raised $55M in funding from top-tier investors and are honored to have been named as a Forbes Next Billion Dollar Startup and LinkedIn Top Startup. Join us in our mission to uplevel how people do work. How we work We are builders aspiring to master our crafts. We care deeply about our teammates and want to win, together. We embrace the following values: Accelerate impact Raise the bar Make our users heroes Clear is kind Rapid learning machine One team one dream About this role We are looking for a .NET / C# developer who loves building desktop apps for Windows, Mac, and Linux. These apps are the premier tools for our top customers to create Scribes effortlessly. We use Avalonia UI for cross-platform desktop app development. You can expect to Build & launch native apps for Windows, Mac, and Linux Gain a deep understanding of native desktop API's for all platforms Become expert at implementing user interfaces with Avalonia UI You could be a great fit if You have 2+ years of experience with C# You have 1-2+ years of building native desktop apps You have 1+ years using Avalonia UI, WPF, or Xamarin Forms Bonus You have experience with Swift and native MacOS APIs You've worked with desktop media APIs (microphone, camera, screen capture, etc.) Experience with Python (Django) Startup experience (not required, but we build and move fast!) Full-Time US Employee Benefits Include Some of the nicest and smartest teammates you'll ever work with Competitive salaries Comprehensive healthcare benefits Equity in a hypergrowth startup Flexible PTO 401k Parental Leave Commuter Benefits (SF office employees) WFH Stipend Compensation $140k - $200k + equity + benefits Compensation will be determined based on a candidate's level of experience and location. We consider several factors when determining compensation, including location, experience, and other job-related factors. At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. Scribe is proud to be an Equal Opportunity and Affirmative Action Employer.

Join the Sony Engagement Platform Services (SEPS) Team, where innovation meets collaboration in the dynamic world of digital engagement. At SEPS, we are building the next-generation platform that powers how fans connect with the content-and the creators-they love. Our mission is to unlock meaningful, data-driven engagement across Sony's entertainment ecosystem, from games and anime to music, film, and live experiences-empowering both internal teams and external partners to build at scale. Our mission is to create a world-class engagement platform that not only enhances existing revenue streams but also drives new opportunities through a robust ecosystem of partners and creators. By decoupling application development from platform services, we empower our teams to deliver exceptional solutions with agility and efficiency. If you are passionate about shaping the future of digital engagement and want to be part of a vibrant community that values creativity and collaboration, we invite you to explore the exciting opportunities within our team. Together, we will shape the future of fan experiences and define the foundation for what's possible in the realm of engagement. To learn more visit: ********************************************************************* POSITION SUMMARY SEPS is seeking a proactive and growth-oriented Full Stack Software Engineer II to join our team in developing internal applications that support the Sony Engagement Platform. In this role, you'll contribute to building secure, scalable, and user-friendly solutions that impact a wide range of Sony business units. As a Full Stack Engineer, you'll work across both front-end and back-end systems, collaborating with senior engineers and cross-functional partners to design, develop, and maintain high-quality features. This role is a great fit for engineers looking to deepen their technical expertise, gain exposure to platform-level development, and grow within a collaborative, fast-paced environment. JOB RESPONSIBILITIES Architect, design and develop RESTful API Endpoints, ensuring high performance, scalability and maintainability. Collaborate with other Front-End Engineers and develop dynamic, responsive and user-friendly web applications. Define Data Models and database schemas and manage relational databases or NoSQL databases ensuring data integrity and performance. Create and maintain documentation of application design, configuration and maintenance. Provide accurate timelines for specific tasks assigned. Participate in scheduled on-call rotation and respond to emergencies. Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above QUALIFICATIONS FOR POSITION Your qualifications and experience should include: 3+ years professional experience working with medium/large complex code bases Experience in Full Stack development Experience with one or more of the following programming languages: Java, Go, or Python Experience in REST API design and implementation Proficient in HTML, CSS, the JavaScript ecosystem and familiarity with popular frameworks like React, Angular, Ember, Jest, Babel, and TypeScript Knowledgeable in UI/UX design principles Strong communication and interpersonal skills Desire to collaborate and to develop strong and positive team relationships Attention to detail, organizational skills, a strong work ethic and the ability to work independently. Preferred Qualifications Bachelor's degree in Computer Science or related field, or at least three years of proven experience in lieu of a degree Demonstrated ability to write clean, maintainable, and well-documented code. Database management, cloud technologies (AWS), and containerization (Docker, Kubernetes) Knowledge of React best practices Familiarity with DevOps tools and practices, including CI/CD pipelines Automated deployment tools (e.g. Terraform, Ansible, Jenkins) Excellent problem-solving skills and attention to detail Experience with Agile development methodologies such as SAFe, Scrum In addition to competitive pay and benefits, we offer an environment and culture that promotes Diversity, Equity, and Inclusion. We are committed to creating an inclusive employee experience for you to thrive as part of Sony's purpose to “fill the world with emotion through the power of creativity and technology”. Benefits: SCA offers benefits-eligible employees (generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family's physical, emotional, and financial well-being. What we offer you: Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA) Employee assistance plan and comprehensive behavioral health benefits Fertility benefits, including surrogacy, and adoption assistance programs Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance Short-term & long-term disability plans Paid parental and caregiver leave 401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting Education assistance and student loan programs Other Programs: Hybrid work schedules Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release), and a winter break between Christmas and New Year's Day (based on business needs) Referral bonuses (subject to eligibility) Matching gift program A wide variety of employee business resource groups (EBRGs) Special discounts on Sony products, offered exclusively to Sony employees Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions) Annual incentive bonus The anticipated annual base salary for this position is $160,000 to $170,000. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. #LI-KD1 SCA will consider qualified applicants with arrest or conviction records in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at ******************* or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit ************* What your impact will be As a new grad Software Engineer at Domino, you'll be working alongside talented engineers from all backgrounds to build the platform that powers how data science is done at some of the world's largest companies. Our new grad engineers are versatile and eager to learn, contributing across the full stack - from backend services and APIs, to frontend features, to integrations with cloud providers like AWS, Azure, and GCP. At Domino, we trust our junior engineers to contribute to critical and high-visibility projects from the start. You'll have the opportunity to make a meaningful impact on your team and the company as a whole beginning on day one. What we look for in this role Strong computer science fundamentals and experience with modern software engineering practices (algorithms, data structures, operating systems, networking, etc.) Proficiency with one or more of our core technologies: Python, Go, TypeScript, React, GraphQL, Kubernetes, Docker, Postgres, Redis, Kafka Excitement about learning new technologies and contributing to scalable enterprise systems Graduating in Spring 2026, currently pursuing a Bachelor's or Master's degree in Computer Science or a related field #LI-Remote The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Compensation Range $150,000-$150,000 USD

About the Role and the Program: The Walt Disney Company has spent 100 years immersing audiences in new and stunning experiences using groundbreaking technology. Your work as a Disney intern would inspire innovation and bring fresh perspectives to impact guests and consumers worldwide. “We Power the Magic!” That's our motto at Disney Experiences Technology (DXT). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney! What You Will Do: As a summer intern at The Walt Disney Company, you will have the opportunity to make a real impact by supporting projects that drive innovation and operational excellence. Some of the projects you might work on include: Enhancing System Audit Traceability: Help improve our systems to better track audit information by capturing details such as the user, date, and time whenever a record is created, updated, or deleted. You'll also collaborate on developing a user-friendly interface that enables business teams to easily search and review the history of changes made to content. Bulk Crew Management Requisition Creation: Design and implement solutions to allow business users to create open requisitions in our Crew Management system in bulk, streamlining the process and increasing efficiency. Voyage Itinerary Maintenance Enhancements: Enhance our itinerary maintenance page so business teams can create an entire voyage, rather than just individual itinerary dates. This will involve designing user-centric solutions and collaborating closely with stakeholders to deliver new capabilities. Through these projects, you'll gain valuable, hands-on experience as a full stack developer while collaborating with talented professionals, supporting Disney's mission, and developing your technical and problem-solving skills in a creative and dynamic environment. Required Qualifications & Skills: Knowledge in Java Familiarity with TypeScript frameworks such as Angular, Node, and React Problem solving and anlysis skills Education: Currently enrolled undergraduate student in an accredited college/university, pursuing a Bachelor's degree in Computer Science, Computer Engineering, Management Information Systems, Information Technology or related field. Eligibility Requirements & Program Information: Be enrolled in an accredited college/university pursuing a degree taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program AND returning to school the semester/quarter following the internship OR currently participating in a Disney College Program or Disney Internship Be at least 18 years of age Possess unrestricted work authorization Have not completed one year of continual employment on a Disney internship or Disney College Program Able to provide own housing for the duration internship program in the Orlando, FL area Able to provide/have reliable transportation to/from work The pay rate for this role in Orlando, FL is $42 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits, dependent on the level and position offered. To learn more about our benefits visit: **************************************** Job Posting Segment: DX Technology Job Posting Primary Business: Disney Signature Experiences Primary Job Posting Category: Technology Intern Employment Type: Full time Primary City, State, Region, Postal Code: Lake Buena Vista, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-12-03

The Morning Star Company Software Engineer (Agriculture, Entry-Level) 100% on site; no remote The Company: The Morning Star Company and its affiliates operate three tomato processing facilities in Central California, processing over 1/3 of the California processing tomato crop, in addition to tomato transplanting, farming, harvesting and trucking operations. The company employs approximately 500 year-round and 2,500 seasonal colleagues. The Morning Star Company is the largest independent producer of bulk tomato ingredient products (tomato paste and diced tomatoes) in the world. We also produce canned tomatoes, tomato products and specialty sauces in pouches for customers in the retail and food service markets. The company is known worldwide for its innovation and integrity. We are organizationally structured through a system we term Mission Focused Self-Management™. Our company is operated by Colleagues without titles or an appointed hierarchy of authority. Authority relative to other Colleagues' activities is lateral, with our Mission as our guiding principle of action, and respect, influence and success built based on each Colleague's integrity, competency, effort, persistence, and straightforward persuasiveness. Although we have grown significantly, we intend to maintain a culture of individual responsibility and Mission Focused Self-Management. The Mission and Position: “Improve the reliability, scalability and features of the Gradient software to allow the expansion to more acres, thus increasing profitability and optimizing resources. Research and develop new software tools for Gradient colleagues to use to improve their own productivity. Assist with the development and implementation of automation technology in the agricultural industry as a tool to improve crop yields and quality” Responsibilities: Writing and Debugging Code: Expected to write clean and efficient code. This often includes debugging and troubleshooting to identify and fix issues. System Overview and Quality Control: Learn our software stack and help resolve issues as they are reported by our users/technicians. Collaboration: Work with field technicians, farmers, agronomists, and other stakeholders to understand their needs, train them on our technology, gather feedback, and tailor engineering solutions to meet real-world requirements. Understanding User and Business Needs: Understanding the user requirements and business objectives to ensure the software meets those needs. Maintenance and Updates: Maintaining and updating existing software to improve performance, fix bugs, and adapt to new requirements/scale. Learning and Implementing New Technologies: Keep up to date with the latest technologies and programming languages and utilize these new tools where applicable. Research and Development: Collaborate with related colleagues in the conduction of research initiatives to identify emerging trends and technologies in agriculture, with a focus on developing solutions to address challenges faced by the processing tomato industry. (Job is not remote) Requirements: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field is appreciated. Proficient knowledge in Python. Knowledge of SQL, React, JavaScript are a plus. Familiarity with software development principles, algorithms, data structures, and object- oriented design. Attention to detail and the ability to troubleshoot and solve problems effectively. Ability to work well in a team environment. Excellent problem-solving, analytical thinking, and communication skills. Agriculture knowledge is a plus. Strong personal integrity and drive. Salary range: $80,000 - $100,000 depending on experience.

Job Description The Morning Star Company Software Engineer (Agriculture, Entry-Level) 100% on site; no remote The Company: The Morning Star Company and its affiliates operate three tomato processing facilities in Central California, processing over 1/3 of the California processing tomato crop, in addition to tomato transplanting, farming, harvesting and trucking operations. The company employs approximately 500 year-round and 2,500 seasonal colleagues. The Morning Star Company is the largest independent producer of bulk tomato ingredient products (tomato paste and diced tomatoes) in the world. We also produce canned tomatoes, tomato products and specialty sauces in pouches for customers in the retail and food service markets. The company is known worldwide for its innovation and integrity. We are organizationally structured through a system we term Mission Focused Self-Management™. Our company is operated by Colleagues without titles or an appointed hierarchy of authority. Authority relative to other Colleagues' activities is lateral, with our Mission as our guiding principle of action, and respect, influence and success built based on each Colleague's integrity, competency, effort, persistence, and straightforward persuasiveness. Although we have grown significantly, we intend to maintain a culture of individual responsibility and Mission Focused Self-Management. The Mission and Position: “Improve the reliability, scalability and features of the Gradient software to allow the expansion to more acres, thus increasing profitability and optimizing resources. Research and develop new software tools for Gradient colleagues to use to improve their own productivity. Assist with the development and implementation of automation technology in the agricultural industry as a tool to improve crop yields and quality” Responsibilities: Writing and Debugging Code: Expected to write clean and efficient code. This often includes debugging and troubleshooting to identify and fix issues. System Overview and Quality Control: Learn our software stack and help resolve issues as they are reported by our users/technicians. Collaboration: Work with field technicians, farmers, agronomists, and other stakeholders to understand their needs, train them on our technology, gather feedback, and tailor engineering solutions to meet real-world requirements. Understanding User and Business Needs: Understanding the user requirements and business objectives to ensure the software meets those needs. Maintenance and Updates: Maintaining and updating existing software to improve performance, fix bugs, and adapt to new requirements/scale. Learning and Implementing New Technologies: Keep up to date with the latest technologies and programming languages and utilize these new tools where applicable. Research and Development: Collaborate with related colleagues in the conduction of research initiatives to identify emerging trends and technologies in agriculture, with a focus on developing solutions to address challenges faced by the processing tomato industry. (Job is not remote) Requirements: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field is appreciated. Proficient knowledge in Python. Knowledge of SQL, React, JavaScript are a plus. Familiarity with software development principles, algorithms, data structures, and object- oriented design. Attention to detail and the ability to troubleshoot and solve problems effectively. Ability to work well in a team environment. Excellent problem-solving, analytical thinking, and communication skills. Agriculture knowledge is a plus. Strong personal integrity and drive. Salary range: $80,000 - $100,000 depending on experience. Powered by JazzHR 8xnvHBu6U7

The Morning Star Company Software Engineer (Agriculture, Entry-Level) 100% on site; no remote The Company: The Morning Star Company and its affiliates operate three tomato processing facilities in Central California, processing over 1/3 of the California processing tomato crop, in addition to tomato transplanting, farming, harvesting and trucking operations. The company employs approximately 500 year-round and 2,500 seasonal colleagues. The Morning Star Company is the largest independent producer of bulk tomato ingredient products (tomato paste and diced tomatoes) in the world. We also produce canned tomatoes, tomato products and specialty sauces in pouches for customers in the retail and food service markets. The company is known worldwide for its innovation and integrity. We are organizationally structured through a system we term Mission Focused Self-Management. Our company is operated by Colleagues without titles or an appointed hierarchy of authority. Authority relative to other Colleagues' activities is lateral, with our Mission as our guiding principle of action, and respect, influence and success built based on each Colleague's integrity, competency, effort, persistence, and straightforward persuasiveness. Although we have grown significantly, we intend to maintain a culture of individual responsibility and Mission Focused Self-Management. The Mission and Position: "Improve the reliability, scalability and features of the Gradient software to allow the expansion to more acres, thus increasing profitability and optimizing resources. Research and develop new software tools for Gradient colleagues to use to improve their own productivity. Assist with the development and implementation of automation technology in the agricultural industry as a tool to improve crop yields and quality" Responsibilities: * Writing and Debugging Code: Expected to write clean and efficient code. This often includes debugging and troubleshooting to identify and fix issues. * System Overview and Quality Control: Learn our software stack and help resolve issues as they are reported by our users/technicians. * Collaboration: Work with field technicians, farmers, agronomists, and other stakeholders to understand their needs, train them on our technology, gather feedback, and tailor engineering solutions to meet real-world requirements. * Understanding User and Business Needs: Understanding the user requirements and business objectives to ensure the software meets those needs. * Maintenance and Updates: Maintaining and updating existing software to improve performance, fix bugs, and adapt to new requirements/scale. * Learning and Implementing New Technologies: Keep up to date with the latest technologies and programming languages and utilize these new tools where applicable. * Research and Development: Collaborate with related colleagues in the conduction of research initiatives to identify emerging trends and technologies in agriculture, with a focus on developing solutions to address challenges faced by the processing tomato industry. (Job is not remote) Requirements: * Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field is appreciated. * Proficient knowledge in Python. Knowledge of SQL, React, JavaScript are a plus. * Familiarity with software development principles, algorithms, data structures, and object- oriented design. * Attention to detail and the ability to troubleshoot and solve problems effectively. * Ability to work well in a team environment. * Excellent problem-solving, analytical thinking, and communication skills. * Agriculture knowledge is a plus. * Strong personal integrity and drive. Salary range: $80,000 - $100,000 depending on experience.

We are seeking a highly experienced and technically proficient Media Systems Engineer. This role involves supporting critical media production and post production technology. The ideal candidate will possess deep expertise in traditional broadcast SDI video and audio infrastructure, coupled with strong capabilities in managing and optimizing Linux based computer systems for media workflows. This position requires a proactive problem-solver with a meticulous approach to system design, implementation, and maintenance. The engineer will provide frontline maintenance and support for department AV and computer equipment and assist with planning, designing, procurement, and implementation of media technology systems. This role is considered Onsite, which means the employee will work 100% onsite 5 days a week at our San Francisco, Presidio office. What you'll do Address technical issues with physical and post production equipment, ranging from professional to consumer grade AV equipment. Troubleshoot and maintain specific equipment including 12G SDI routers, enterprise KVM matrix, video monitors and projectors, AV control systems, motion capture equipment, video playback workstations, timing signal generators, AV streaming appliances, etc. Maintain and troubleshoot various enterprise storage systems. Design, install and commission various AV equipment used in different technical and operational departments throughout ILM and Lucasfilm. Maintain the hardware and software for our Linux based media playback servers. Collaborate with the network team to diagnose and resolve network related issues impacting AV system functionality. Create and maintain documentation using tools like Jira, Confluence, Google Workspace, Visio, etc. Create and update Computer Aided Design (CAD) drawings related to AV systems. Generate high quality reports and presentations for management. Participate in off hours maintenance, upgrades, and installations as necessary. Participate in on-call rotation to provide off hour technical support. Conduct research and evaluate new technologies and trends to understand their potential impact on current and future workflows within the organization. What we're looking for 8 years support and installation experience in post production or broadcast facilities with complex AV systems. B.S. in Engineering or equivalent professional experience required Up to date knowledge and a passion for technology relating to media and post production. Solid understanding and practical experience of various media file formats. Solid understanding and practical experience with video and audio transport streams. Familiarity and practical experience with professional post production equipment including video routers, disk based playback appliances, SAN and NAS file servers, Linux workstations, network switches, KVM routers, A/V control systems etc. Linux, mac OS and Windows administration skills. Experience troubleshooting TCP/IP, Ethernet, UDP, NFS & CIFS protocols, DNS, DHCP, Fiber channel and be familiar with basic network troubleshooting tools. Basic image format knowledge including an understanding of Rec. 709 and DCI color spaces, gamma encoding, chroma subsampling, etc. Knowledge and experience with various file formats used in post production including OpenEXR, DPX, TIFF, JPEG 2000, H.264, DNx, HEVC, AV1, ProRes etc. Identify and resolve problems in a timely manner: Gather and analyze information skillfully, develop alternative solutions, work well in group problem solving situations. Ability to identify and address technical issues without direct supervision, while also working effectively as part of a team. Preferred Qualifications: First hand experience with the following or equivalent post production equipment a plus including: Evertz EQx 12G SDI router and various baseband video equipment. ADDER Infinity enterprise KVM. Linux builds based on RHEL 9. Enterprise storage experience with Isilon, Qumulo, NEXIS, Pure, StorNext etc. Q-SYS Core programming for audio and control. DaVinci Resolve, Autodesk RV Christie DLP projectors. WireCad, Confluence, Jira, Draw.io Legacy Video Tape Decks (DigiBeta, SRW, HDCAM etc.). Advanced understanding of and experience with Linux, mac OS and Windows operating systems. Avid certified or widespread experience with Avid Media Composer, Interplay, Media Central. A solid understanding of IP networks with some practical in field experience. The hiring range for this position in San Francisco, CA is $155,400 to $208,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: ILM San Francisco Job Posting Primary Business: ILM San Francisco Primary Job Posting Category: Media Engineering Employment Type: Full time Primary City, State, Region, Postal Code: San Francisco, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-08-06

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers' critical path of progress by making them smarter, faster and more efficient. Job Summary & Responsibilities We are seeking a highly motivated and detail-oriented NPI (New Product Introduction) Service Systems Engineer to drive service readiness efforts for semiconductor inspection and metrology product launches. This engineer will work within a cross-functional, international team including R&D, Marketing, Manufacturing, and Field Service. The role bridges the gap between development engineering and field service, ensuring products are designed and delivered with optimal serviceability and support infrastructure to enable successful deployment and maintenance in high-volume fab environments. This position requires strong system-level knowledge and analytical ability. The engineer will gain product expertise across multiple inspection and metrology systems using a wide range of optical technologies, participate in the manufacturing pilot line with an emphasis on serviceability, develop and qualify service documentation, and deliver early training to field service, installation, and training teams. Travel is required (up to and exceeding 50%) to support product development at remote sites, early customer engagements, and high-level field escalations. Key Responsibilities: Service Readiness Collaborate with cross-functional teams (R&D, Product Management, Manufacturing, Field Service, etc.) to define and communicate service requirements early in the product lifecycle. Influence product design to optimize field serviceability, diagnostics, and maintainability. Develop and execute a comprehensive service readiness plan aligned with product launch timelines. Create and validate service documentation including troubleshooting guides, installation manuals, maintenance procedures, and repair instructions. Optimize preventive maintenance processes for efficiency and reliability. Work with supply chain and engineering to define spare parts lists, part numbers, and stocking strategies; ensure parts are in place at product release. Perform hands-on testing to qualify and provide feedback on tool performance and serviceability. Validate calibrations, diagnostic tools, error reporting mechanisms, and service specifications. Ensure cost of service goals are met and well understood. Collaborate with service sales and marketing to develop service strategy and service product offerings. Support & Training Coordinate beta support plans at customer sites with engineering, supply chain, ramp, and field service teams. Develop initial training curriculum for early support teams including field service, ramp, and TPS. Conduct “Train the Trainer” sessions and assist in developing full training courses for global deployment. Support beta shipments to validate service processes and gather feedback. Provide on-site support for new product escalations (“fly-and-fix”), particularly during early customer engagements. Serve as a liaison between field teams and engineering to resolve complex service issues and drive continuous improvement. Incorporate lessons learned into final service strategy and documentation. Qualifications Bachelor's degree in Engineering, Computer Science, Physics, or a related technical field. 5+ years of experience in systems engineering, service engineering, or NPI roles, preferably in semiconductor capital equipment. Excellent communication and cross-functional collaboration skills. Proactive self-starter and strong team player capable of leading and completing complex projects efficiently. Strong problem-solving and creative skills with the ability to make sound decisions based on accurate, quantitative, and timely analyses. High attention to detail and ability to thoroughly document work. Strong understanding of the product development lifecycle and service engineering principles. Experience with diagnostics, troubleshooting, and technical documentation. Willingness to travel up to 50% or more for field support and training. Preferred Skills: Experience with hardware/software systems in semiconductor, medical devices, or related industries. Familiarity with PLM systems, service documentation platforms, and training development tools. Ability to thrive in a fast-paced, dynamic environment with shifting priorities. Onto Innovation Inc. offers competitive salaries and a generous benefits package, including health/dental/vision/life/disability, PTO, 401K plan with employer match, and an Employee Stock Purchase Program (ESPP) along with health & wellness initiatives. We provide a collaborative working environment along with resources, and state-of-the-art tools & equipment to promote success; and a welcoming, inclusive corporate culture where individuals are recognized for their contributions. Onto Innovation Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. For positions requiring access to technical data, Onto Innovation Inc., Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.