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AWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for the Neuron Kernel Interface (NKI), a compiler library enabling custom kernel development and optimization. You will be part of the AWS Neuron Product Management team, driving innovation in machine learning acceleration software. AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips, delivering best-in-class ML performance in the cloud. You will lead NKI requirements working backward from customer needs, drive kernel library features definition, and drive developer experience for custom kernel development, enabling customers to successfully and independently develop and optimize ML workloads on AWS Neuron through deep understanding of compiler systems, kernel optimization, and hardware acceleration. The ideal candidate will have solid understanding of compiler technologies, computer architecture, and ML systems. They should be able to assess technical implications of compiler architecture decisions, understand customer needs, and drive developer experience strategy. Experience with ML frameworks, model architectures, and distributed computing is highly valuable. Additionally, the ideal candidate should have: * Proven track record of driving product strategy and owning roadmap definition in complex technical environments * Experience delivering features with deep understanding of technical trade-offs and product implications * Strong ability to contribute to and influence engineering discussions around technology decisions and strategy * Demonstrated success in representing customer needs and driving alignment during executive-level prioritization * Track record of delivering results in fast-paced, ambiguous environments, particularly in early-stage programs * Experience with modern software development and collaborative open-source projects About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. Key job responsibilities In this role, you will: * Drive and execute product strategy and roadmap working backwards from customer requirements in collaboration with engineering technical leadership * Assess technical implications of product architecture and optimization decisions * Drive technical alignment across Neuron components, Neuron workflows and dependencies * Work directly with software engineering teams to define and execute on new features * Produce clear and concise documents such as PRFAQ and PRD documents * Write user stories, and validate features meet developer needs * Drive feature discussions with customers, engineering, and other stakeholders * Anticipate bottlenecks, manage risk and escalations, balancing technical constraints * Find opportunities to innovate on behalf of our customers, design features related to these opportunities, and always push to improve our product developer experience * Build ecosystem partnerships and stay connected with industry trends * Represent the product in relevant industry events 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. 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 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. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Utility Computing (UC): AWS Utility Computing (UC) provides 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, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. 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 BASIC QUALIFICATIONS- Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning PREFERRED QUALIFICATIONS- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools 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 $136,100/year in our lowest geographic market up to $235,200/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.

Utility Computing (UC) 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. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities - integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing - As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications. - Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements. - Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints. - Perform lint and clock domain crossing quality checks on the design. - Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks. You will thrive in this role if you: - Are familiar with scripting in Python - Are proficient with assertions - Have good debug skills to analyze RTL test failures - Have a "Learn and Be Curious" mindset About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. 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 degree in electrical engineering or equivalent - 5+ years in RTL design for SOC - 5+ years of VLSI engineering - 5+ years with code quality tools including: Spyglass, LINT, or CDC PREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints - Familiarity with data path design, interconnects, AXI protocol - Good analytical, problem solving, and communication skills 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 $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.

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to work with partners and vendor and build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. Key job responsibilities - Develop formal verification plans, implement and verify state-of-the-art IP architectures. - Work with block designers to gain deep micro-architectural understanding. - Develop checking algorithms, assertions, and FV models. - Perform state of the art formal methods and abstraction techniques. - Participate in test plan and coverage reviews. - Promote assertions to simulation and contribute to overall simulation strategy. - Communicate and work with team members across multiple disciplines. About the team 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. 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. 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- Bachelor's degree or above in computer science, electrical engineering, or related field - 7+ years of practical experience with formal verification as IP/Block owner, or equivalent academic experience in formal methods. - 7+ years of experience with formal verification techniques including abstraction and end-to-end checking, or equivalent academic experience in formal methods. PREFERRED QUALIFICATIONS- Experience with formal verification techniques including abstraction and end-to-end checking - Knowledge of programming or other scripting languages and coding skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby) - Understanding of u-arch design comprehension and debugging. - Practical experience with RTL design. 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 $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.

AWS Utility Computing (UC) provides product innovations, from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Come optimize LLMs such as Llama and GPT-OSS to run really fast on Trainium. As the SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Neuron and Trainium and Inferentia accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the model onboarding experience, as well as enhancing inference usability and quality for Neuron-supported models. You will manage changing priorities as new models and new technologies emerge, and you adapt your team's work to manage them. You will dive deep to help your team solve technical challenges. About the team 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. 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- 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 - 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.

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. AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) our cloud-scale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT-OSS, Quen and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Pythorch is a must. Distributed training with awareness of strategies like FSDP (Fully-Sharded Data Parallel), PP, Context parallel. Distributed training libraries like torchtitan, torchtune , HF RL , DeepSeek etc are central to this and extending all of this for the Neuron based system is key focussing on enabling large scale training. Experience is post-training strategies like DPO/PPO/HF torch-tune will additional strength and aligns with team success. Key job responsibilities You will lead efforts to build distributed training support into PyTorch, the Neuron compiler, and runtime stacks. You will enable distribute training strategies as well as use them to optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role. About the team Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. 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- Bachelor's degree in computer science or equivalent - 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 - Experience in machine learning, large scale training with LLMs and expertise in Pytorch. PREFERRED QUALIFICATIONS- Master's degree in computer science or equivalent - Experience in computer architecture - Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. 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.

At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK As a Ripple intern, you will work on challenges that impact our mission and shape our company. With support from your team, access to learning and development resources, and opportunities for fun along the way, our program will give you the foundation to start your career journey. As a Security Engineer Intern within the Secure Digital Asset Operations (SDAO) function, you will contribute to a high-impact project to mature security controls and operational processes that govern Ripple-owned/managed digital and fiat assets. WHAT YOU'LL DO Define baseline security configurations and operational procedures to secure high-value digital asset solutions/transactions. Develop a dashboard that pulls in key details via APIs and other methods to track and visualize adherence to these configurations and processes. Define a process to alert relevant personnel about high-risk events that require remediation. WHAT YOU'LL BRING Currently enrolled in a Graduate or PhD degree, preferably in Computer Science, Information Technology, or a related field. Available to work for 12 weeks during Summer 2026, beginning in May or June. Intent to return to degree-program after the completion of the internship. Strong proven interest and passion in crypto, blockchain and web3. Experience in at least one programming language land the technical ability to build lightweight dashboards that pull information via APIs and/or scripts. Hands-on experience setting up, configuring, and securing a variety of software digital asset exchange and wallet solutions. Intermediate understanding of digital asset key management solutions and key management best practices that include the secure creation, distribution, storage, and usage of cryptographic keys. Ability to handle sensitive work with discretion and integrity. Effective communication to varying levels of stakeholders across different business lines. Comfortable operating on an unpaved road and dealing with ambiguity and complexity. Passion for continuous learning and willingness to apply processes unique to the challenges at Ripple. For positions that will be based in CA, the hourly range for this position is below. Actual rates may vary based on numerous factors including, among other things, an individual applicant's experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. CA Hourly Rate Range: $48 USD - $53.50 USD WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About the Role: The Legal Counsel Director - Real Estate Finance and Data Centers will play a key role in supporting the company's large-scale project financings and real estate developments. Reporting directly to the Assistant General Counsel - Real Estate Development & Data Centers, the Legal Counsel will lead contract drafting, negotiation, and execution of project finance transactions and real estate acquisition matters and while working closely with cross‑functional stakeholders to ensure timely and strategic legal support across all of Crusoe's data center development projects. This role will be based in San Francisco, CA, and require being in office 5 days/week. What You'll Be Working On: Real Estate Development & Acquisitions Review, negotiate, and execute real estate transaction agreements from inception to closing, including site selection, letters of intent (LOIs), purchase and sale agreements (PSAs), options, easements, and synthetic/ground leases. Conduct legal due diligence activities, including comprehensive reviews of title, survey, environmental assessments (Phase I/II), geotechnical reports, permitting, and zoning/land use matters to identify and mitigate risks. Address title matters, property rights, and boundary disputes. Draft, negotiate, and execute customer leases and data center service agreements. Negotiate and execute power procurement and utility‑related agreements. Financing & Joint Ventures Support the AGC in financing and debt raises, as needed. Support recapitalizations and other structured transactions. Conduct and coordinate legal due diligence for construction loans and joint ventures. Management and Legal Operations. Present complex legal concepts clearly and effectively to non‑legal stakeholders both in writing and during meetings. Collaborate cross‑functionally with internal departments including finance, tax, power and engineering, construction, project development, and operations to support legal and business objectives. Develop and maintain a suite of standardized legal documents, templates, and contract clauses to streamline negotiations and ensure consistency. Work closely with the real estate business team to continuously improve contracting processes and best practices. What You'll Bring to the Team: Education: Juris Doctor (JD) degree from an accredited law school. Licensure: Active bar admission in any state. 5‑7 years experience working on real estate transactions and lending. Knowledge of real estate financing, equity JVs, synthetic leases and loan due diligence processes. General awareness of construction financing and power procurement. Excellent negotiation, drafting, and communication skills. Strong judgement, analytical and problem‑solving abilities. Ability to work collaboratively with cross‑functional teams. Self‑starter who thrives in a dynamic and high‑stakes business environment. Experience with data center or large‑scale development projects strongly preferred. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well‑funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short‑term and long‑term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300/month Compensation Range Compensation will be paid in the range of up to $218,000 -$270,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

Who we are? We are Splashtop. We deliver next-generation remote access and remote support software and services across the Americas, Europe, Asia, Middle East, and Africa. Splashtop's cloud-based, secure, and easily managed solutions serve customers that include everyone from multinational enterprises and academic institutions to small businesses, MSPs, and individuals. Headquartered in Cupertino, California (USA) and founded in 2006, Splashtop has offices in Hangzhou (China), Tokyo (Japan), Taipei (Taiwan), Singapore, Amsterdam (Netherlands), and we are now expanding our Dallas-Fort Worth office. From our offices, 210 Splashtoppers serve more than 200,000 corporate customers. We always deliver what we promise and scaling hard, with a stunning Net Promoter Score of +93 and 85% of the Fortune 500 companies who enjoy Splashtop products globally. We recently achieved the aspirational Unicorn status of $1B valuation thanks to our 30+ million happy users. Each Splashtop employee will be a real team member, no matter what position you are in. We are a young, fast-growing company, we respect and are transparent to one another. In this role you can have a real impact into the next steps of the company's growth. We all work hard to exceed customer expectations, we are collaborative, positive thinkers and always improve our solutions and services. Besides hitting it hard we also enjoy and celebrate our success with our teams. Overview As an Inbound Sales Development Representative, you will learn how to professionally and promptly follow-up on leads generated by our Marketing (incoming calls, forms, emails, and chat). You will learn how to use the Salesforce CRM to organize and manage your own book of business. You will work autonomously after having received professional training from us to gain highly desirable skills that will serve you throughout your entire career. We are a team-centric organization. As part of your duties, you will work together with your manager and teammates on, while not limited to, connecting with our clients among website chat visitors, inbound sales calls, and marketing led lead generation. You will also work with our Account Executives to help them generate new business through the appointments you will make on their behalf. As part of the Splashtop organization, you may also at times be asked to join focus teams to ensure we are addressing the voice of the customer. Key Responsibilities: Respond fast and well to Prospects inquiries in accordance to established SLA's and KPI's, going above and beyond to meet customer needs. Data hygiene is essential for this role - this requires clean data into Salesforce respective Sales tools. Learn to qualify, sort, prioritize and track leads from several different Salesforce reports/sources. Follow-up with Leads as fast as possible and either help them purchase directly (if the request is simple enough) or connect them with an Account Executive. Continue to your monitor your incoming Leads while following a well-defined cadence of outreach to make sure that no lead is being left behind. Learn to organize your leads and related work into folders, and leverage Salesforce so that you can manage a pipeline of leads. Learn to assess the size and scope of business opportunities, understand prospects' business needs and use case, and set sales appointments/demos with Sales Executives. Log summaries of prospects discussions into the salesforce lead record. Continue to improve the quality of the data record in Salesforce (Account, Contact). Become familiar with Splashtop's core products and navigate the Splashtop ecosystem on how they fit our customer's needs: To be able/articulate our value propositions and why our customers choose Splashtop. To be able to match features and product details to sales leads to gauge best-fit solution. To be able to guide your leads through the product trial process and installation/configuration of Splashtop SaaS products. Learn to understand potential customers' use case and provide consultative guidance on how Splashtop products can help them achieve their goals. Who you are? 1 year of customer-facing or customer service work experience. Excellent organizational and time management skills. Excellent written and verbal communication skills plus the ability to build professional rapport quickly by phoning with all levels of stakeholders. Willingness to learn with a go-getter attitude. A strong interest in a sales career with friendly and helpful attitude. A team player capable of working within a collaborative environment. To be an A player at Splashtop you need to embody the following attributes: Customer centric mindset. Everything we do is to support our prospects and customers to the best of our ability. We go above and beyond to deliver them the best quality of service possible. Result oriented. We are relentless in the pursuit of our goals. We are goal-oriented and experiment in a measured way to learn through experience. We are committed to continuous, iterative improvement for our customers and ourselves. Inquisitive so you can grow with this fast-growing company through continuous learning. What we have to offer: Fast-paced environment where we celebrate successes and have a lot of fun while working. An amazing crew of other hard working and passionate people that are willing to run those sales cycles with you. Employment Type: Full-time, Non-Exempt Splashtop is a proud equal opportunity employer, dedicated to creating an inclusive workplace that celebrates diversity. We value the unique skills and experiences brought by individuals from all backgrounds and identities, including but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, socioeconomic background, or individuals reentering the workforce. We especially encourage applications from underrepresented groups such as women, racial and ethnic minorities, LGBTQ+ individuals, people with disabilities, and veterans. At Splashtop, we believe diversity drives innovation, and we are committed to fostering an environment where everyone feels welcomed, respected, and valued.

Junior Civil Earthwork Estimator - Heavy Civil Construction San Francisco, CA Employment Type: Full-Time Department: Estimating / Preconstruction Reports To: Chief Estimator / Estimating Manager ABOUT US: We are a trusted leader in heavy civil construction, specializing in earthwork, grading, highway infrastructure, utilities, and large-scale site development. Our projects shape the foundation of transportation, energy, and public works systems across San Francisco and surrounding counties in delivering high-quality, cost-effective projects safely and efficiently - and we're seeking a skilled Civil Earthwork Estimator to help us continue that tradition POSITION SUMMARY: The Civil Earthwork Estimator will support the Chief Estimator in preparing accurate quantity takeoffs, cost estimates, and bid proposals for heavy civil projects, including excavation, grading, and site development work. This entry-level role is ideal for someone early in their construction career who is eager to learn estimating fundamentals and grow within the organization KEY RESPONSIBILITIES: Assist the Chief Estimator in reviewing project plans, specifications, and geotechnical reports Perform basic quantity takeoffs for excavation, grading, and related civil work under supervision Help collect and organize pricing information for labor, equipment, materials, and subcontractors Support the preparation of bid packages, proposals, and related documentations Assist in obtaining quotes from suppliers and subcontractors and maintain pricing logs Participate in site visits, pre-bid meetings, and constructability reviews as needed Learn and use estimating tools such as HCSS HeavyBid, Agtek, Bluebeam, and internal cost databases Collaborate with project managers, field teams, and the estimating team to support accurate bid development Maintain organized project files, estimates, and supporting documentation QUALIFICATIONS: Education: Associate degree or Bachelor's degree in Construction Management, Civil Engineering, or a related field (preferred but not required) Equivalent field or internship experience also considered. Experience: At least 2-3 years of experience in construction estimating, project engineering, field engineering, or a related role Internship or co-op experience in civil construction is a plus Skills: Basic understanding of civil construction, excavation, or grading operations Ability to read and interpret construction plans (training provided) Familiarity with estimating or construction software (HCSS, Agtek, Bluebeam) is a plus but not required Strong attention to detail, organizational skills, and willingness to learn Ability to work collaboratively and take direction in a fast-paced environment WHAT WE OFFER: Competitive base salary + performance-based incentives Comprehensive benefits package (health, dental, vision, 401(k), etc.) Opportunities for professional growth and advancement A collaborative, safety-first work culture built on integrity and excellence We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities. req25-00885

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

We're working with a Series A health tech start-up pioneering a revolutionary approach to healthcare AI, developing neurosymbolic systems that combine statistical learning with structured medical knowledge. Their technology is being adopted by leading health systems and insurers to enhance patient outcomes through advanced predictive analytics. We're seeking Machine Learning Engineers who excel at the intersection of data science, modeling, and software engineering. You'll design and implement models that extract insights from longitudinal healthcare data, balancing analytical rigor, interpretability, and scalability. This role offers a unique opportunity to tackle foundational modeling challenges in healthcare, where your contributions will directly influence clinical, actuarial, and policy decisions. Key Responsibilities Develop predictive models to forecast disease progression, healthcare utilization, and costs using temporal clinical data (claims, EHR, laboratory results, pharmacy records) Design interpretable and explainable ML solutions that earn the trust of clinicians, actuaries, and healthcare decision-makers Research and prototype innovative approaches leveraging both classical and modern machine learning techniques Build robust, scalable ML pipelines for training, validation, and deployment in distributed computing environments Collaborate cross-functionally with data engineers, clinicians, and product teams to ensure models address real-world healthcare needs Communicate findings and methodologies effectively through visualizations, documentation, and technical presentations Required Qualifications Strong foundation in statistical modeling, machine learning, or data science, with preference for experience in temporal or longitudinal data analysis Proficiency in Python and ML frameworks (PyTorch, JAX, NumPyro, PyMC, etc.) Proven track record of transitioning models from research prototypes to production systems Experience with probabilistic methods, survival analysis, or Bayesian inference (highly valued) Bonus Qualifications Experience working with clinical data and healthcare terminologies (ICD, CPT, SNOMED CT, LOINC) Background in actuarial modeling, claims forecasting, or risk adjustment methodologies

Job Description Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you're welcome.) At Redis, you'll work with the fastest, simplest technology in the business-whether you're building it, telling its story, or selling it to our 10,000+ worldwide customers. We're creating a faster world with simpler experiences. You in? Why would you love this job? If you have strong leadership, deep technical expertise in SOX/internal audit, and the ability to partner cross-functionally across a global company, this is your opportunity to shape a foundational function at a critical phase in Redis' growth. You will love this job if you enjoy: Playing a critical role in guiding the Company through its IPO-readiness journey reporting directly to Redis' Head of Internal Audit and by partnering with global business functions across Redis to design, implement, and maintain an effective internal controls framework in alignment with SOX compliance requirements. Owning, building and scaling Redis' Internal Audit function to help support the Company's rapid growth. What you'll do: Lead and execute the full IT SOX lifecycle in a pre-IPO environment -including planning, risk assessment, control design, testing, reporting, and remediation-while independently managing engagements and contributing to the annual IT risk assessment. Assess ITGCs, cybersecurity, cloud security, data privacy, and SDLC controls, identifying emerging risks and proactively advising on control gaps and technology exposures. Develop IT audit methodologies and best practices, review workpapers, and provide constructive feedback to in-house staff and third-party consultants to ensure quality and consistency. Quantify technology risk and clearly communicate business impacts, offering actionable recommendations to strengthen IT governance, risk management, and compliance (GRC). Partner cross-functionally with IT, Security, Compliance, Engineering, Finance, and Internal Audit, aligning on regulatory requirements, other assurance initiatives, and industry standards. Manage internal audit and SOX team members (internal and/or third-party resources) ensuring SOX objectives, timelines, and deliverables are met while adapting to the evolving needs of the internal audit function. What will you need to have? Bachelor's degree or higher in Information Systems, Computer Science, Accounting, Finance, or a related field. Proven experience designing, implementing and managing SOX compliance programs, ideally in a global pre-IPO and/or newly public high-growth technology company environment. 6+ years of relevant experience, preferably in both Big 4 and in-house internal audit/SOX managerial roles. Strong knowledge of IT risk assessment, ITGCs, cybersecurity controls, cloud computing, IT frameworks (e.g., NIST, ISO 27001, SOC 2, COBIT), and PCAOB audit standards. Strong project management skills and ability to drive accountability in a cross-functional environment. Excellent interpersonal and communication skills with the ability to influence and build trust at all levels. Extra great if you have: Experience at an enterprise open-source data infrastructure software provider. Familiarity with audit tools and GRC systems, NetSuite, HiBob, HR and finance operations platforms, Google Cloud Platform, and Google Workspace. Broad experience documenting and testing business-process and entity-level control in addition to IT controls. Hands-on experience performing control assessments under PCAOB standards as part of a financial statement audit. We give back to our employees: Our culture is what makes Redis a fun and rewarding place to work. To support you at work and beyond, we offer all our US team members fantastic benefits and perks: Competitive salaries and equity grants Unlimited time off to promote a healthy work-life balance H/D/V coverage along with 401K, FSA, and commuter benefits Frequent team celebrations and recreation events Home internet & phone stipend Learning and development opportunities Ability to influence a high-performance company on its way to IPO The estimated gross base annual salary range for this role is $120,000 - $153,000 per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate's work location, qualifications, experience, and competencies. Base annual salary is one component of Redis' total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available. #LI-AB1 As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees' differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to ********************. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

The IT Helpdesk Support position provides frontline technical assistance to students, faculty, and staff, ensuring reliable access to campus technology and smooth daily operations. This role requires exceptional customer service, strong technical troubleshooting skills, and the ability to work in a fast-paced academic environment. Key Responsibilities: · Provide in-person, phone, and email technical support for Windows, mac OS, and mobile devices with a focus on high-quality customer service. · Troubleshoot network and Wi-Fi issues, printer connectivity, classroom technology, audiovisual equipment, and other campus systems to minimize instructional disruptions. · Manage and maintain the IT Helpdesk ticketing system, including triaging, tracking, and resolving support requests in a timely manner. · Maintain inventory of IT hardware and peripherals; coordinate imaging, configuration, distribution, and replacement of devices for employees and computer labs. · Support campus VoIP phone systems, including device setup, number assignments, call routing, voicemail configuration, and troubleshooting. · Assist with cybersecurity operations, including endpoint protection (SentinelOne or similar) and enforcement of user security best practices. · Provide support for Zoom-equipped classrooms and hybrid learning environments; train faculty and staff and troubleshoot live instructional sessions. · Build, update, and deploy standardized computer images to ensure consistent software configurations and security compliance. Requirements: · Demonstrated experience supporting Windows and mac OS operating systems. · Proficiency in troubleshooting: o Wi-Fi and network connectivity issues o Printer and peripheral connection problems o Hardware, software, and operating system issues · Hands-on experience with: o Active Directory (user and group management) o Google Workspace, Microsoft 365, and Zoom administration o Computer imaging and deployment tools o Endpoint security systems (SentinelOne or similar) o IT Helpdesk ticketing systems and workflow processes · Excellent communication, customer service, and interpersonal skills. · Strong problem-solving ability, attention to detail, and sense of urgency. · Ability to multitask and work independently in a fast-paced setting. · Collaborative mindset with a willingness to learn new systems quickly. Additional Details: · Flexible working hours required. · Some weekend availability is needed during the start of each semester and for major events such as Commencement, OAKtoberfest, and Orientation. Qualifications · Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent professional experience. · 1-3 years of experience in an IT Helpdesk or technical support role. · Experience in a higher-education IT environment is preferred but not required.

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We are seeking an experienced Design Verification Engineers to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and validation of machine learning hardware in our data centers. Some of your responsibilities will include verifying/validating that our hardware and software solutions achieve their desired functionality, developing and executing multi-faceted verification/validation plans, and measuring the teams progress towards our ambitious customer metrics. Key job responsibilities Some of your responsibilities will include verifying/validating that our hardware and software solutions achieve their desired functionality, developing and executing multi-faceted verification/validation plans, and measuring the teams progress towards our ambitious customer metrics. About the team nclusive 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. 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. 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- Bachelor's degree in Electrical Engineering or a related field - Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills - Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing PREFERRED QUALIFICATIONS- Master's degree in Electrical or Communications Engineering or a related field - Experience with formal verification techniques including abstraction and end-to-end checking - Experience with ARM and various DSP ISAs - Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards - Experience with industry standard tools and scripting languages (Python or Perl) for automation 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 $129,800/year in our lowest geographic market up to $212,800/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.

Job Description Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you're welcome.) At Redis, you'll work with the fastest, simplest technology in the business-whether you're building it, telling its story, or selling it to our 10,000+ worldwide customers. We're creating a faster world with simpler experiences. You in? The opportunity We're seeking a Vice President of Product Marketing to build and lead this function from the ground up as Redis enters its next phase of growth. You'll own the complete product and technical marketing organization, translating our technical depth into compelling narratives that resonate from developers to C-suite buyers. This is your opportunity to architect product marketing from first principles at a company sitting at the intersection of AI, real-time data, and cloud-native architecture, defining how the market understands Redis's role in the future of data infrastructure. This role demands someone who thrives in the build phase. Someone who would rather create the playbook than inherit one. Who gets fired up about making complex concepts feel simple. Who thinks from first principles, not best practices. And who loves the hard work of building something from scratch. What you'll own Architect Redis's positioning and narrative for category leadership in real-time data and AI infrastructure Build and lead a world-class product and technical marketing organization Translate complex distributed systems and real-time data architectures into compelling stories that resonate from developers to C-suite buyers Drive product launches, technical content strategy, and developer enablement that creates measurable business impact Create messaging frameworks, competitive intelligence, and sales enablement that accelerates deal velocity and win rates Partner with engineering on feature positioning and technical differentiation, and with analysts to influence industry discourse What will you need to have? 15+ years in product marketing, with 7+ years leading teams at high-growth B2B infrastructure or developer platform companies Deep technical fluency: you can discuss distributed systems, vector databases, and real-time data streaming without a translator World-class storyteller who makes complex technical concepts accessible to developers, executives, and market analysts Proven builder who recruits A+ talent and establishes frameworks that scale Track record of launching products into competitive markets and creating category separation How success will be measured Improved sales funnel velocity and conversion rates. Increased competitive win rates and improved technical evaluation success. Consistent, high-impact launches with measurable adoption, product usage growth, and revenue contribution. High-quality content that demonstrably improve pipeline creation, conversion rates, and ACV. Clear, durable messaging and narrative alignment across Product, Sales, and Marketing. Hiring, development, and retention of a top-performing Product & Technical Marketing team. We give back to our employees: Our culture is what makes Redis a fun and rewarding place to work. To support you at work and beyond, we offer all our US team members fantastic benefits and perks: Competitive salaries and equity grants Unlimited time off to promote a healthy work-life balance H/D/V coverage along with 401K, FSA, and commuter benefits Frequent team celebrations and recreation events Home internet & phone stipend Learning and development opportunities Ability to influence a high-performance company on its way to IPO The estimated gross base annual salary range for this role is $270,000 - $305,000 per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate's work location, qualifications, experience, and competencies. Base annual salary is one component of Redis' total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available. #LI-Remote #LI-AB1 As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees' differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to ********************. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloudscale machine learning accelerators. Come optimize LLMs such as Llama and GPT OSS to run really fast on Trainium. As the SDM for the Neuron Inference Technology building blocks team, you will guide your expert AI engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. We're currently focusing on MoE models such as GPT OSS for Trainium 2 and the upcoming Trainium 3. You will develop and optimize blocks such as attention kernels and deliver them in the Neuronx_Distributed Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in optimizing LLMs, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime and collectives. A day in the life You will work with your senior management and technical leaders to define the building blocks for the latest LLMs, build and deliver them to customers. You will manage changing priorities as new models and new technologies emerge, and you adapt your team's work to manage them. You will dive deep to help your team solve technical challenges. About the team 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. 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- 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 - 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. 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.

MatchPoint is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry specific best practices and expertise. We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you! Design, Build and Operate scalable software systems to manage Client's network infrastructure. Only local candidates. Skills 8 -10 years experience with enterprise Wi-Fi including but not limited to 802.11 standards, encryption,, 802.1x, RADIUS, EAP-TLS, wireless client chipset/driver configurations. Proven understanding of TCP/IP (both IPv4/IPv6), routing, and switching Experience with supporting collaboration tools utilizing Wi-Fi Experience with wireless design and tools such as Ekahau or Hamina Experience with Cisco AireOS and Juniper Mist platforms. Certifications: CWNA, ECSE-D Networking services for ACS, AAA, DHCP, BOOTP, DNS, ICMP and SNMP Remote access technologies (i.e. SSL-VPN, IPSec, B2B) Layer 3 (ie: OSPF, BGP, VRFs, QOS, ACLs, Route redistribution, Route filtering, MPLS-VPNs, EVPN, VxLAN, GRE, DMVPN etc..) Experience designing, configuring and implementing a wireless network. Experience in Network planning, design strategies for an enterprise WLAN, design of infrastructure and network services, designing WLAN RF, advanced wireless site surveying, 802.11 security design, and troubleshooting of WLAN design. Ability to script using Ansible, Python, and Shell a plus

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.