Field Application Engineer Cabinet Efficiency Jobs

A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers Integrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services Mentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap Collaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions WHAT'S REQUIRED Bachelor's degree in computer science, software engineering, or a related technical field At least 5 years of professional software enginee

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES Develop infrastructure components for our ML inference platform using Python and Go Implement and maintain Kubernetes deployments for model serving Contribute to our inference orchestration layer for model deployments Build and enhance monitoring systems for model performance metrics Implement efficient resource management solutions for ML workloads Support infrastructure automation to improve ML deployment workflows Work closely with team members to implement technical solutions Help balance performance optimization with system reliability Participate in technical discussions around infrastructure improvements Learn and apply infrastructure best practices REQUIREMENTS Bachelor's degree or higher in Computer Science or related field Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus Working knowledge of Kubernetes and containerizati

We have Pega Product Engineer requirements for the below modules: Pega – Payments Smart Investigate PEGA – KYC/CLM Pega - ACDD Pega – Payments Smart Investigate Education · Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience · 8-12 years of experience in Pega and Pega Certified Product Engineer · Pega Lead Product Engineer playing upto Architect/ CSSA or LSA Certification is highly desirable · Understanding of large and complex code bases, including design techniques · Experience in defining Business Processes using Pega platform for payment investigations · System design and implementation, Experience in Integration Services of PRPC – Rule-Connects/Services, developing activities, PRPC User Interface development and implementation of Declarative Processing features Technical Skills · Experience in Pega Smart Investigate 8.X Experience is mandatory · The candidates will act as a Smart Investigate SME for the bank from Pega Platform perspective · Good understanding and experience in Client Server applications, Digital applications and Business Functions · Should have knowledge on API and JSON to support REST Integration · Should have good understanding of KAFKA Topics and Data flows Functional Skills · Experience in Banking, Financial and Fintech experience in an enterprise environment preferred · Experience in following best Coding, Security, Unit testing and Documentation standards and practices · Experience in Agile methodol

Electronic and Electrical Design and Analysis Engineer (Associate or Mid-Level) Company: The Boeing Company Boeing Global Services (BGS) Engineering team is currently hiring for a broad range of experience levels including an Electronic and Electrical Design and Analysis Engineer (Associate or Mid-Level) to support the C-17 Globemaster 3 program at the Dover Air Force Base in Delaware. The selected candidate will provide embedded USAF Field and Product Review Engineering support. This position performs and represents Boeing C-17 Engineering as an integral part of a multi-disciplined team in conjunction with the C-17 Globemaster 3 sustainment contract (G3). Position Responsibilities: Utilize Flight Data Recorder (FDR) and Quick Access Recorder (QAR) data to diagnose complex avionics and electrical system anomalies Analyze flight data logs to isolate root causes of system failures and intermittent electrical issues Decode and interpret parametric flight data to troubleshoot onboard electrical, communication, and navigation systems Apply knowledge of Boeing C-17 design and engineering principles to assess and resolve operational issues through the aircraft’s lifecycle A pply engineering principles and experience to research technical, operational, and quality issues that cannot be resolved by the customer Develop and release interim and permanent engineering dispositions to ensure aircraft airworthiness and overall operational safety and effectiveness Utilize innovative approaches and unique applications to solve complex nonconforming conditions Identify, document, and analyze reported problems and communicate

We are now looking for a Senior ASIC Design Engineer to join our System ASIC team! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. NVIDIA is seeking best-in-class ASIC Design Engineers to design and implement the world's leading GPU and SoC's. With the System-ASIC team, you will contribute to designing multiple products that will be used in a variety of applications from consumer graphics to self-driving cars and the growing field of artificial intelligence. System-ASIC team works closely with System Architecture team on product definitions, implements new innovative flows to improve our chip yield and to address multiple sectors, defines Reset and Boot Architecture and implements them in complex GPU and Tegra chips. The team is also handling the architecture, design, and synthesis of multiple System-level modules. What you’ll be doing: Be an integral part of the System ASIC Design team to help develop and improve our RTL and SOC designs Collaborate with architects, ASIC designers, and verification engineers to design sophisticated system-level modules such as Floorsweep, In-silicon measurement, Reset and Boot controllers. You will be responsible for the RTL design, logic synthesis, and timing analysis of several modules. Integrate modules into the overall SOC design and work closely with other teams in the silicon bring-up process and ensure successful SOC le

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Photolithography Engineer at Micron, you will be responsible to tackle critical lithography scribe challenges for memory devices. In this position, you will be responsible for supporting work for the photolithography team. This includes modeling to support optical simulation related to scribe mark, provide mark design recommendations, identifying root causes for sophisticated problems, and providing simulation training for other photolithography engineers. You will also define and lead projects to address photolithography performance gaps on current and future memory and storage nodes. Responsibilities include, but are not limited to: Understand the technology challenges with respect to overlay and establish project plans to address them for the N, N+1, and N+2 nodes. Work with vendor applications teams to find areas for overlay scribe improvement. Drive technical innovation in your area of expertise as a recognized Micron expert in your field. Standardize methods and procedures across area, department and/or FABs. Define and lead sophisticated, multi-disciplinary projects that are essential to Micron’s photolithography roadmap. Help to craft strategic decisions. Work with process development engineers on issues and projects related to photolithography. Summarize plans, progress to experimental work, and conclusions in the form of written reports. Provide advice and counsel to senior management on technical issues related to overlay scr

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Photolithography Engineer at Micron, you will be responsible to tackle critical lithography scribe challenges for memory devices. In this position, you will be responsible for supporting work for the photolithography team. This includes modeling to support optical simulation related to scribe mark, provide mark design recommendations, identifying root causes for sophisticated problems, and providing simulation training for other photolithography engineers. You will also define and lead projects to address photolithography performance gaps on current and future memory and storage nodes. Job Description Responsibilities include, but are not limited to: Understand the technology challenges with respect to overlay and establish project plans to address them for the N, N+1, and N+2 nodes. Work with vendor applications teams to find areas for overlay scribe improvement. Drive technical innovation in your area of expertise as a recognized Micron expert in your field. Standardize methods and procedures across area, department and/or FABs. Define and lead sophisticated, multi-disciplinary projects that are essential to Micron’s photolithography roadmap. Help to craft strategic decisions. Work with process development engineers on issues and projects related to photolithography. Summarize plans, progress to experimental work, and conclusions in the form of written reports. Provide advice and counsel to senior management

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About the Role We are seeking an ambitious and innovative ENGINEER, MTB QE OPS (Nano-indenter) to join our outstanding team in Taichung, Taiwan. This role is perfect for someone who is passionate about engineering and looking to make a significant impact in the field of Nanoindentation and material properties analysis. You will have the opportunity to work with modern technology and collaborate with world-class professionals to solve complex engineering challenges. Key Responsibilities Perform Nanoindentation, material properties evaluation, and Physical Failure Analysis (PFA) to aid in resolving production issues and advancing R&D development. Link materials, product structures, processes, and failure mechanisms to establish analysis methods, monitoring standards, and quality control mechanisms. Work together with various groups to advance problem-solving and guarantee seamless implementation. Participate in the development of Generative AI, Agentic AI, LLM, and AI Assistant applications to support quality digitalization, knowledge management, and intelligent search. Integrate manufacturing, quality, and engineering data to promote intelligent analysis and process automation. Work Schedule Regular day shift: Monday to Friday, 08:00–17:00. No shift work required. Required Qualifications Bachelor’s degree or higher in Materials Science, Mechanical Engineering, Physics, Chemistry, Chemical

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About the Role We are seeking an ambitious and innovative ENGINEER, MTB QE OPS (Nano-indenter) to join our outstanding team in Taichung, Taiwan. This role is perfect for someone who is passionate about engineering and looking to make a significant impact in the field of Nanoindentation and material properties analysis. You will have the opportunity to work with modern technology and collaborate with world-class professionals to solve complex engineering challenges. Key Responsibilities Perform Nanoindentation, material properties evaluation, and Physical Failure Analysis (PFA) to aid in resolving production issues and advancing R&D development. Link materials, product structures, processes, and failure mechanisms to establish analysis methods, monitoring standards, and quality control mechanisms. Work together with various groups to advance problem-solving and guarantee seamless implementation. Participate in the development of Generative AI, Agentic AI, LLM, and AI Assistant applications to support quality digitalization, knowledge management, and intelligent search. Integrate manufacturing, quality, and engineering data to promote intelligent analysis and process automation. Work Schedule Regular day shift: Monday to Friday, 08:00–17:00. No shift work required. Required Qualifications Bachelor’s degree or higher in Materials Science, Mechanical Engineering, Physics, Chemistry, Chemical Engineering, or rela

About the Team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are seeking Software Engineers (Emerging Talent) to join our Applied Engineering team. You’ll work in a highly iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features and product experiences end-to-end Talk to users to understand their problems and design solutions to address them Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products Optimize applications for speed and scale Create a diverse and inclusive culture that makes all feel welcome. Your background looks something like: Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 0-1 years of experience in software engineering or a relevant field Proficiency with JavaScript, React, and some backend languages (we use Python) Some experience with relational databases like Postgres/MySQL Interest in AI/ML (direct experience not required) Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadl

Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role As a Software Engineer focusing on Distributed Systems at Verse, you will work in collaboration with some of the brightest industry experts in the field building cloud-native applications that scale to trillions of data points collected from electricity markets globally. You will be a part of a dynamic, robust team primarily supporting the backend needs of our Aria software product spanning hundreds of data sources, sinks, services, and jobs. Your expertise will not only have a direct impact on product decisions, but you also be well-positioned to drive the development and trajectory of our entire platform and infrastructure and influence important architectural decisions that affect the whole organization. Key Responsibilities Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders Read and write a lot of Go, Python, and Protobuf Build, test, debug, maint

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Description: We are looking for an independent, dedicated Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you’ll be doing: Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc. Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models Collaborate with team members on drafting publications and patent submissions Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment What we’re looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post 7+ years of experience in demonstrable research experience in indust

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an Enterprise Technical Solutions Engineer who will provide technical guidance throughout the sales process. We are a fast-growing, high revenue-growth Software as a Service (SaaS) company that is changing the way teams and organizations manage work. We work in an agile environment that stays focused on building great software and supporting our colleagues. Here you can use the latest web technologies to their fullest potential. This role is part of the Worldwide Field Operations Solution Engineering team and is based remotely in the U.S. on the west coast (preferred) or east coast. You Will: Collaborate closely with the sales/presales team to develop solution proposals that align with customer requirements and deliver maximum value Be a technical resource for Presales members to include: Smartsheet API, Smartsheet Premium Applications, SSO/SAML, and understanding 3rd party APIs Respond to Solutions Engineer Requests (SERs) submitted via Salesforce for technically complex opportunities, including API integrations, enterprise architecture validation, identity/access management, and advanced automation Build proof of concepts to demonstrate the capabilities of our products and services to customers Build solution diagrams that clearly articulate the technical architecture and requirements of proposed solutions Provide expert knowledge on what can/can’t be done using Smartsheet’s products together with other tools to solve customer needs Assist with technical questions for customer RFPs

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The Pure Engineering Team builds the industry’s most innovative, high-performance, and highly available portfolio of products that are designed for the most demanding mission critical applications. Our customers are the most important part of our business and they love our products for its simplicity of management, the constant flow of new and exciting upgrades, and ability to live on the cutting edge of technology while never taking downtime, ever. These new innovations enable our customers to leverage the agility of the public cloud for both traditional IT and cloud-native applications. WHAT YOU'LL DO Responsible for debugging Hardware and System level issues Lead Hardware and Mechanical validation of new drive designs, both internally and with JDM. Includes board level signal/power measurements, mechanical testing, thermal measurements, 4-corner testing, etc… Support interoperability and debug of Pure Storage devices in customer systems Analyze and document test results Perform failure and root cause analysis to support field issues, customer escalation and factory defects Collaborate with cross-functional teams to implement corrective actions and process improvements We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING 7+

Data Engineer Prolific Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We're looking for a Data Engineer to help build scalable data solutions that serve teams across the business—from data scientists and analysts to AI engineers and product teams. You'll contribute to both the underlying platform and the way data is used in our products, working in a modern, cloud-native environment where privacy, security, and good data practices are part of how we build. What you’ll bring to the role Technical Expertise: 3+ years building and shipping production-grade data systems, with strong SQL skills and proficiency in Python or another object-oriented language (Java, Scala etc.) Familiarity with cloud-native infrastructure—ideally some exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools. We don't expect deep expertise in all of these, but comfort working in this kind of environment matters. Experience designing data APIs or services that expose data to applications, or a strong interest in working across the analytical/operational boundary. A thoughtful approach to data quality, privacy, and security—you understand that how data is used is as important as how it's moved. Strong collaboration skills and comfort working across teams with different priorities—engineers, data scientists, AI engineers, and product. A pragmatic, curious mindset—you enjoy keeping up with the field and know when to reach for a new tool versus when to stick with what works. Pipeline Management: Hands-on experience with data pipeline tools (Airflow, dbt) and strong ability to optimize for performance and reliability.