Field Application Engineer Cabinet Efficiency Jobs

Opportunity ThermalWorks has an exciting opportunity for someone passionate about sustainability and eager to be part of an innovative company that’s on a journey to transform the world’s infrastructure. We are seeking a Platform Engineer (ServiceNow) to join ThermalWorks,working directly with the AI and Data Analytics group. This role owns the administration and development of ThermalWorks core business systems, with ServiceNow as the primary platform and NetSuite and Arena PLM as supporting systems. You will be in a fast-paced environment, building and maintaining the applications, workflows, and integrations that groups across ThermalWorks, such as operations, service, and engineering, rely on every day. The Platform Engineer needs to be agile, professional, trustworthy with confidential information, and comfortable in a rapidly changing environment. You will work closely with service, operations, engineering, supply chain, and finance teams to turn business needs into reliable, scalable system solutions. Key Responsibilities Include but are not limited to: ServiceNow Administration Own day-to-day administration of the ServiceNow platform, including users, groups, roles, ACLs, forms, workflows, notifications, and the service catalog Manage instance upgrades and family releases, including regression testing with the Automated Test Framework (ATF) Maintain CMDB and platform data integrity and enforce configuration standards and governance Coordinate with ServiceNow implementation partners on enhancements, upgrades, and escalations ServiceNow Development Build scoped applications, workflows, and automations using Flow Designer, Business Rules, Script Includes, Client Scripts, and UI Policies Extend ServiceNow modules (e.g., ITSM, Field Service, Customer Service) to fit ThermalWorks’ operational and service workflows Manage development through update sets or source control, with sub-production testing and controlled promotion to production Evaluate build-

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. As a Senior Mobile Engineer focused on device connectivity, you'll help power Beacon's mission by building the native iOS and Android BLE layer that connects our EEG headbands and other wearables to the apps patients and clinicians rely on. Your work will determine how reliably we capture high-fidelity data in homes, clinics, and trial sites. This isn't just another app. You'll build tools that help unlock insights into neurological, psychiatric, and sleep disorders, with the potential to improve lives at scale. Beacon's robust asynchronous work practices ensure a first-class remote work experience, and we also have in-person office hubs in Boston and New York. For this position we will consider candidates based anywhere in the US Eastern time zone. What success looks like As part of our small, mission-driven Mobile Apps Team, you will: Lead development of our native iOS and Android BLE device SDKs. Own connection reliability, data throughput, and battery performance for device communication across a wide range of phones, OS versions, and real-world environments. Partner closely with our Devices team on firmware interfaces, GATT profiles, and device behavior. Expose device capabilities to our React Native applications through clean, well-tested native modules. Own the observability of device connectivity, using telemetry and field feedback from real u

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Technical Marketing Engineer (TME) to join our team. This is a remote role within the USA, reporting to the Director Technical Marketing Engineer in the Product Management department. We are seeking a hands-on, self-starting Technical Marketing Engineer (TME) with deep networking expertise to drive technical enablement, customer validation, and field readiness for our next-generation Zero Trust Branch solutions. In this high-impact role, you will architect and maintain complex lab environments, lead hands-on Proof of Value (POV) customer engagements, and provide technical troubleshooting to resolve escalations. As the bridge between engineering and field teams, you will author comprehensive deployment guides, technical collateral, and test plans while delivering interactive training to systems engineers and partners. This is an ideal position for a practitioner who thrives on solving real-wo

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. SOFTWARE DEVELOPMENT ENGINEER in TEST Contract role, 12 months Hybrid status Open in San Mateo and San Diego We are looking for a Software Development Engineer in Test to join our System Integration Team at Sony Interactive Entertainment. In this role, you will support quality engineering for customer-facing applications in a fast-paced, dynamic environment, helping ensure that new and existing features meet a high bar for reliability, usability, and overall player experience. Responsibilities Review product requirements and design documents to create effective testing strategies Build concrete test plans, write test cases and execute them to ensure quality of features Implement and maintain test automation scripts to increase test coverage and stability Develop, maintain and improve test automation framework Report, track and verify defects as well as monitor Automation jobs Provide status reports to Leadership and other key partners Work with the infrastructure team to maintain common services such as CI test pipelines Required Qualifications Bachelor’s degree in Computer Science or related field, or ability to demonstrate equivalent knowledge 3+ years experience in UI automation for

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. Responsibilities: Develop and optimize electrical parameter performance metrics through rigorous testing and analysis. Collaborate with cross-functional teams to craft and implement electrical parameter performance improvements. Drive yield improvement programs to achieve flawless production outcomes. Monitor and analyze device performance data to identify and resolve issues promptly . Margin Bin related yield improvement and maintenance. Minimum Qualifications: Bachelor's degree in Electrical Engineering, Materials Science, Physics, or a related field. No experience is acceptable. Experience in semiconductor device engineering is more advantageous. Proven expertise in device characterization and optimization. Strong analytical skills with the ability to solve complex technical problems. Preferred Qualifications: Advanced degree or equivalent experience (Master's or PhD) in a relevant field. Experience with brand new memory technologies. Familiarity with statistical analysis software and methodologies. Demonstrated ability to lead projects and mentor junior engineers. Familiar of AI agent or application <p

Senior Data Engineer, Proprietary Research London A Career with Point72's Market Intelligence team On our proprietary research team—Market Intelligence— you will uncover insights about markets and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU'LL DO Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools. Design and develop big data processing pipelines including but not limited to ingestion, transformation, trends creation to deliver AI-ready data assets & products. Develop reusable software components, libraries, and APIs that enable rapid experimentation and production deployment Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant with compliance policies Build scalable AI-native cloud-based infrastructure using distributed systems techniques, to deliver efficient data-driven business solutions Optimize performance, cost, and reliability of software systems through benchmarking and iterative improvements WHAT’S REQUIRED 5+ years of experience in Data Engineering, Software Engineering or related field 2+ years of strong experience in Python development Experience with system design and leading multi-person development efforts Experience with distributed data processing frameworks like Spark Experience with building scalable APIs, and software applications w/ focus on backend infra

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Technical Marketing Engineer (TME) to join our team. This is a Remote role, reporting to the Director, Technical Marketing Engineer in the Product Management department. We are seeking a hands-on, self-starting Technical Marketing Engineer (TME) with deep networking expertise to drive technical enablement, customer validation, and field readiness for our next-generation Zero Trust Branch solutions. In this high-impact role, you will architect and maintain complex lab environments, lead hands-on Proof of Value (PoV) customer engagements, and provide technical troubleshooting to resolve escalations. As the bridge between engineering and field teams, you will author comprehensive deployment guides, technical collateral, and test plans while delivering interactive training to systems engineers and partners. This is an ideal position for a practitioner who thrives on solving real-world enterprise networ

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. Senior Software Development Engineer in Test San Mateo, CA Role Overview Sony Interactive Entertainment LLC seeks a Senior Software Development Engineer in Test in San Mateo, CA to design, develop, and maintain automated testing frameworks and tools for PlayStation console and platform applications using both internal and external Python-based technologies. Requirements Master’s degree in Computer Science, Computer Engineering, or related field or equivalent, and two (2) years of experience in containerizing ML services and exploring Kubernetes-based deployments to support scalable service infrastructure; leveraging Amazon Web Services (AWS) technologies, including EC2, S3, and Lambda, to support model training, storage, and deployment workflows; implementing cloud-based ML infrastructure and monitoring solutions to improve system reliability and availability; utilizing Python and ML libraries including Scikitlearn and Pandas to build predictive models, perform data preprocessing and feature engineering, and generate analytical insights; applying supervised learning, anomaly detection, and optimization algorithms to support system tuning and predictive analytics; creating real-time ROI and analytics dashboards using Tableau to support data-driven decision-m

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are seeking a hands-on, self-starting Principal Technical Marketing Engineer with deep networking and monitoring expertise to drive technical enablement, customer validation, and field readiness for our next-generation Zero Trust Branch and Zscaler Digital Experience solutions. In this remote role, you will report to the Director of Product Management within the Zscaler Digital Experience department, serving as a critical bridge between our field teams and core engineering. Your mission is to accelerate adoption, reduce sales friction, and standardize post-sales time-to-value through hands-on technical validation and world-class enablement collateral. What You'll Do Own hands-on technical POVs, architectural demos, and pilot evaluations for enterprise prospects and customers to validate capabilities and accelerate deal closure Design, deploy, and maintain resilient physical and virtual networking lab topologies Serv

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. Broad knowledge and experience in: Expertise in the field of Data Engineering, Business Intelligence, and Advanced Analytics. Supporting, and maintaining ETL/ELT processes using SSIS, Snowflake, and cloud-native data integration technologies. Proficient in writing advanced SQL queries in both SQLServer and Snowflake. Proficient in debugging ETL packages. Good knowledge of databases, data warehousing, dimensional data modeling, and data governance practices. Familiarity with cloud-based systems for data engineering, especially Google Cloud Platform (GCP) and BigQuery. Experience with workload automation, job scheduling, and monitoring tools such as Active Batch & RMJ. Supporting Business enterprise data pipelines and ensuring data availability, reliability, and performance. Experience in production support, handling incidents, identifying root causes, and resolving problems. Knowledge of building APIs and integrating data across multiple applications and platforms. Experience with Agile development methodologies and DevOps practices. Resolving transformation requirements and developing processes to bring structured and unstructured data from source systems into target data models. Working with Data Engineers, Data Scientists, and Business teams to support data quality, data preparation, and analytical workloads. <li

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management. What you'll be doing: Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training. Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. Deploy AI models. Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns. Analyze and operationalize complex distributed systems for speed-of-light performance. What we need to see: Experience developing high-performance, scalable software systems. MS with 6&#43; years, or BS (or equivalent experience) with 8&#43; years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong programming skills in Python or Golang Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. Strong architectural skills with a proactive, problem-solving mentality. Experience in data mi

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Public Sector engineers build the core product including the systems required to ingest and process federal datasets that support real-time decision-making in contested environments. As a New Grad Software Engineer on this team, you will own meaningful, mission-facing work from day one: shipping features, sitting with the government stakeholders who use them, and iterating fast. Example Projects Build multi-layered guardrails that keep agents safe and predictable in high-stakes federal environments Optimize data retrieval for agents, including RAG pipelines over large, heterogeneous federal datasets Build orchestration for fleets of asynchronous agents running long-horizon tasks Develop systems that automatically alert users to deviations and anomalies in incoming data Create interfaces that illustrate how an agent reached a decision, so operators can audit and trust its output Develop data pipelines and ML infrastructure that make previously siloed government data sources accessible to agents Build evaluation infrastructure that measures model reliability against mission requirements Ship full-stack tooling that lets analysts query, visualize, and explore mission data Deploy and harden applications into secure, air-gapped, and cloud-native government environments Requirements A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) Product engineering expe

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Technical Marketing Engineer (TME) to join our team. This is a Hybrid role, reporting to the VP, Product Management in the Product Management department. We are seeking a hands-on, self-starting Technical Marketing Engineer (TME) with deep networking expertise to drive technical enablement, customer validation, and field readiness for our next-generation Zero Trust Branch solutions. In this high-impact role, you will architect and maintain complex lab environments, lead hands-on Proof of Value (POV) customer engagements, and provide technical troubleshooting to resolve escalations. As the bridge between engineering and field teams, you will author comprehensive deployment guides, technical collateral, and test plans while delivering interactive training to systems engineers and partners. This is an ideal position for a practitioner who thrives on solving real-world enterprise networking challenges

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Airports team is part of a mission-critical endeavor that keeps travelers moving smoothly. As an engineer on our team, your role will be essential in making sure drivers and riders enjoy a dependable experience at airports. You'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to tackle the unique challenges of the travel and airports industry. Your responsibilities will also involve managing real-time communication with airports, ensuring our technology integrates seamlessly into their operations. Your skills will be the driving force behind enhancing the airport journey for millions. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our teams on call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience 2-5+ years of software engineering/production infrastructure industry experience Experience with Python, Go Proficiency in object-oriented programming Experience working with data structures or algorithms Ability to work with a low-ego, highly collaborative, and cross-functional team Bonus points: experience pursuing side projects or open-source project Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled M

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Airports team is part of a mission-critical endeavor that keeps travelers moving smoothly. As an engineer on our team, your role will be essential in making sure drivers and riders enjoy a dependable experience at airports. You'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to tackle the unique challenges of the travel and airports industry. Your responsibilities will also involve managing real-time communication with airports, ensuring our technology integrates seamlessly into their operations. Your skills will be the driving force behind enhancing the airport journey for millions. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our teams on call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience 2-5+ years of software engineering/production infrastructure industry experience Experience with Python, Go Proficiency in object-oriented programming Experience working with data structures or algorithms Ability to work with a low-ego, highly collaborative, and cross-functional team Bonus points: experience pursuing side projects or open-source project Please submit your resume in English.