Jobs in United States

Technical Solutions Engineer in United States

4,169 active opportunities · Updated October 2026

Explore current technical solutions engineer jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Santa Clara, United States
✓ Quality checkedCompany trend -13.7%

NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle. The Hypervisor and RTOS Team within NVIDIA DRIVE Software plays a critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous vehicles. Our job is to facilitate the sharing and separation of system resources while achieving real-time, safety, and security requirements. We develop Hypervisor and RTOS with a strong focus on automotive quality, safety and security needed for the real-time, highly available system level components of world-class Autonomous Vehicles. We are making extensive use of formal methods to automate our workflow and increase the quality of our SW. We are hiring now for the position of Senior System Software Engineer for Hypervisor and RTOS What you’ll be doing: Design and develop new features for RTOS and hypervisor software stack. Bring up and optimize RTOS and hypervisor stacks on new NVIDIA Tegra SoCs. Develop high-integrity software using best-in-class engineering, safety, and security practices. Debug complex system-level issues across hardware, firmware, RTOS, and virtualization layers. Lead team-wide technical initiatives by building alignment, coordinating execution, and driving them to completion. What we need to see: BS, MS in CS/CE/EE or a related engineering field or equivalent experience </

Machine LearningArtificial IntelligenceAI
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📍 Remote Based, United States· Remote
✓ Quality checkedCompany trend +3.1%

Job Title Field Service Engineer - Medical Imaging (Metro NYC / Tri-State Area) Job Description Field Service Engineer - Medical Imaging (Metro NYC / Tri-State Area) You will be responsible for customer relationship management through the effective use of technical knowledge to install, troubleshoot, service, and maintain equipment at customer sites nationally. The ideal candidate will be able to travel nationally but will be located in the greater New York City area. We expect this FSE to live within a 45-minute commute to Manhattan, with travel to other sites as required. Your role: Deliver exceptional customer service by setting clear expectations, meeting commitments and arrival times, and resolving customer issues efficiently. Build strong customer relationships by understanding their business environment while contributing to service revenue growth. Collaborate as an active member of the regional team to improve processes, identify training gaps, and share best practices. Continuously expand capabilities by learning new tools and becoming qualified across multiple modalities as needed. Complete all required administrative and compliance tasks in accordance with company, state, and federal regulations. This includes accurate documentation for timesheets, service work orders, expense reports, PMs, FCOs, installations, and adherence to quality and safety standards. Diagnose and resolve electronic, mechanical, and network-related system issues using established tools, resources, and escalation processes. Perform preventative maintenance, field changes, installations, and corrective service within required timeframes. Travel extensively (approximately 90%) with the ultimate focus being in the assigned territory to support customer sites, but will require overnight stays and air travel nationwide

Customer Service
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📍 Fredericksburg, United States
✓ Quality checkedCompany trend +340.2%

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Starting Pay: Based on experience Scheduled - Monday-Thursday Hours - 3pm-1am Position Summary The Maintenance Technician is responsible for maintaining, troubleshooting, repairing, and improving equipment within a fast-paced, mid-to-large volume distribution or manufacturing facility. This role supports operational efficiency by performing preventative maintenance, diagnosing equipment issues, reading schematics, conducting voltage testing, and repairing conveyor systems and other facility equipment. The ideal candidate is mechanically inclined, safety-focused, and skilled at identifying and resolving equipment failures to minimize downtime. What You'll Do • Perform preventative maintenance on conveyors, machinery, and facility equipment to ensure optimal performance and reliability. • Troubleshoot mechanical, electrical, pneumatic, and conveyor system issues to quickly identify root causes and implement repairs. • Read and interpret electrical schematics, blueprints, wiring diagrams, and technical manuals. • Utilize electrical testing equipment to conduct voltage readings and diagnose electrical system issues. • Inspect equipment regularly for signs of wear, damage, or potential failures and recommend corrective actions. • Execute repairs on conveyor systems, motors, gearboxes, drives, sensors, and other product

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📍 Jacksonville Florida United States, United States
✓ Quality checkedCompany trend +800%

The Regulatory Risk Officer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. There are typically multiple people within the business that provide the same level of subject matter expertise. Responsible for driving customer remediation analytics to completion including execution and validation. This position will be part of the USCC Centralized Customer Remediation Team (CCRT). The objective of the USCC CCRT is to quickly assess and identify customer impacts and ensure remediation is completed promptly with the appropriate detailed documentation required by Internal Audit and the Regulators. These activities will be conducted in close partnership with the Issue Owners and Managers within U.S. Consumer Cards. Excellent communication skills are required to negotiate internally, often at a senior level. Highly developed communication and diplomacy skills are required, to guide, influence, and convince others, in particular colleagues in other areas and occasional external customers. This role is for an individual contributor. Responsibilities: Subject matter expert related to data analytics and remediation methodology. May train, mentor, and coach lower-level staff. Owns, designs, and manages client remediation population and impact analyses for USCC owned and impacted issues, including those that are Regulatory. Provide expertise and guidance related to the USCC remediation processes and policies, partners with other department leaders to define, prioritize, and execute remediation programs. Create comprehensive documentation that conforms to Internal Audit and Regulatory expectations. Provide thought leadership and effective challenge throughout the data remediation lifecycle (including root

PythonSQLArtificial IntelligenceAI
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📍 Jacksonville Florida United States, United States
✓ Quality checkedCompany trend +800%

The Regulatory Risk Officer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. There are typically multiple people within the business that provide the same level of subject matter expertise. Responsible for driving customer remediation analytics to completion including execution and validation. This position will be part of the USCC Centralized Customer Remediation Team (CCRT). The objective of the USCC CCRT is to quickly assess and identify customer impacts and ensure remediation is completed promptly with the appropriate detailed documentation required by Internal Audit and the Regulators. These activities will be conducted in close partnership with the Issue Owners and Managers within U.S. Consumer Cards. Excellent communication skills are required to negotiate internally, often at a senior level. Highly developed communication and diplomacy skills are required, to guide, influence, and convince others, in particular colleagues in other areas and occasional external customers. This role is for an individual contributor. Responsibilities: Subject matter expert related to data analytics and remediation methodology. May train, mentor, and coach lower-level staff. Owns, designs, and manages client remediation population and impact analyses for USCC owned and impacted issues, including those that are Regulatory. Provide expertise and guidance related to the USCC remediation processes and policies, partners with other department leaders to define, prioritize, and execute remediation programs. Create comprehensive documentation that conforms to Internal Audit and Regulatory expectations. Provide thought leadership and effective challenge throughout the data remediation lifecycle (including root

PythonSQLArtificial IntelligenceAI
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📍 Santa Clara, United States
✓ Quality checkedCompany trend -13.7%

We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for rack-scale system SW/FW, working with CSP engineering teams to ensure they can deploy, monitor, and operate these systems reliably at fleet scale. In this role, you will collaborate with NVIDIA's cross-functional rack-scale system SW/FW engineering teams with dedicated CSP-facing technical leadership. Your focus is on the system-level software that manages, monitors, and recovers the rack as a whole — fabric management, GPU/NVSwitch error handling and recovery, health telemetry APIs, firmware update orchestration, and SW-driven serviceability. You will drive work streams with CSP engineering teams to build shared understanding of the architecture, incorporate their operational feedback, and ensure integration readiness. What you'll be doing: Drive rack-scale SW/FW architecture alignment across CSP engagements — including fabric management software, link health monitoring, GPU/NVSwitch error handling, SW/FW serviceability features (e.g., hot-plug support, component isolation, firmware-driven recovery), and multi-component firmware orchestration Drive technical work streams with CSP engineering teams on rack-scale system software — ensuring they deeply understand fabric management, NVSwitch behavior, error handling and recovery policies, health telemetry APIs, and SW/FW-controlled recovery operation Capture and synthesize CSP engineering feedback on rack-scale system software — health monitoring APIs, SW-driven serviceability workflows, firmware update orchestration, and error recovery behavior — champion that feedback into NVIDIA's architecture decisions Collaborate with multi-functional teams to ensure customer operational requirements are reflected in system software and firmware development Identify cross-CSP patterns in rack-scale SW/FW iss

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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -84.7%

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Systems Integration team is critical in this mission, turning complex hardware-software development into reliable product signals. We build the shared infrastructure, tooling, and lab environments that let teams test quickly, understand failures, and ship with confidence. About the Role As a Systems Integration Manager , you will lead the team responsible for device validation infrastructure, test automation, developer tooling, and lab operations. This is a player-coach leadership role: you’ll set technical and operational direction, build and develop a team of engineers and lab operations professionals, and stay close to the architecture and hardest systems problems. You will partner closely with device software, OS, firmware, hardware, reliability, QA, and release infrastructure teams to define validation strategy, improve release readiness, and ensure our test environments and quality signals scale with the product. Because this is a new category of devices, you’ll have the rare opportunity to build the validation foundation early—shaping the systems, standards, and operating model that will support products from prototype through launch. We’re looking for a leader who combines strong technical judgment with people leadership, operational rigor, and experience building reliable systems for complex hardware-software products. This role is b

Artificial IntelligenceAI
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📍 Arizona, Phoenix, United States
✓ Quality checkedCompany trend +116%

Job Details: Job Description: Intel is looking for highly motivated individuals with strong technical background and capabilities to sustain, ramp, and transfer all technology nodes in Arizona. They will drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control. The role of a Process Integration and Yield Engineer is to deliver high-quality analytical insights that influences / directs the factory resources to minimize defects, control process parameters, and improve overall factory yields. All improvements and sustaining work is done in close collaboration and partnership with the process to improve the capability of the tools and processes. Responsibilities may include, but are not limited to: Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues. Identifying exclusionary or baseline sources of defects or yield impacts and recommending/leading corrective actions/fixes. Lead/participate continuous improvement projects on products and processes for improved performance. Provide expertise on process flow segments. Lead/participate in multi-area problem solving teams to provide expertise to troubleshoot complex yield problems. The ideal candidate should exhibit the following behavioral traits: Solid analytical skills and a passion for data analysis and problem solving. Organizational skills with attention to detail. Excellent interpersonal skills with the ability to work with people at all levels. Communication and presentation skills to influence a wide variety of groups at all levels. Demonstrate excellent teamwork and leadership skills, demonstrated pro

PythonSQLRecruitment
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📍 Texas, United States of America, United States
✓ Quality checkedCompany trend -5.2%

$147.1K – $230.9K/yr

Principal Embedded Firmware and Software Engineer Description - We are seeking a Principal Embedded Firmware & Software Engineer to lead the design, development, and debugging of embedded software and firmware for computer systems. In this role, you will combine deep, hands-on engineering expertise with system-level technical leadership to ensure seamless integration between software and hardware components, delivering reliable and efficient system performance. You will collaborate closely with cross-functional teams including hardware engineers, software developers, QA, and product managers to bring high-quality products to market. Responsibilities Provide technical leadership for the architecture, development, security, integration, debugging, validation, and deployment of embedded firmware and software including BIOS/UEFI, EFI applications and drivers, embedded controllers, and RTOS-based systems. Analyze hardware and system architectures to define firmware requirements, dependencies, interfaces, integration strategies, and validation approaches. Troubleshoot and resolve firmware issues by designing and implementing enhancements, updates, and programming changes across firmware subsystems. Define and drive firmware integration, verification, and validation strategies, including automated testing, regression testing, and continuous integration . Develop and improve engineering tools and automation using Python and other appropriate technologies for development, debugging, testing, analysis, and validation. Advance CI/CD and DevSecOps practices for embedded development to improve engineering velocity, quality, traceability, and release confidence. Evaluate and apply AI-assisted software development and engineering tools where they can improve developer productivity,

PythonGitLinuxAI
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📍 New York, NY, United States
✓ Quality checkedCompany trend +310%

Become a part of our caring community Every large organization is making critical decisions today about how it will leverage AI over the next decade. Few have leaders who can both define that vision and demonstrate its viability through hands-on engineering. This role requires both. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations to source documents, and route difficult cases to human experts. These capabilities support decisions that impact real healthcare outcomes for members. As a Principal AI Applied Engineer, you will define the technical strategy, architectural standards, and long-term vision for AI-enabled products across the organization. You will influence enterprise-wide decisions regarding AI platforms, model strategies, engineering standards, and technology investments while remaining deeply hands-on in prototyping, experimentation, architecture, and software development. This is the highest-level individual contributor role within the AI Applied Engineering organization. Success requires exceptional technical depth, organizational influence, strategic thinking, and the ability to translate emerging AI capabilities into scalable, reliable, and responsible production systems. Why Join Us Shape the long-term AI architecture and engineering direction for a large enterprise healthcare organization. Influence how AI-enabled products are designed, built, evaluated, deployed, and governed across multiple teams. Drive strategic decisions involving models, vendors, platforms, infrastructure, and shared capabilities. Prototype and validate emerging technologies before the organization invests at scale.</

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📍 Santa Clara, United States
✓ Quality checkedCompany trend -13.7%

We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for GPU firmware and GPU system software, working directly with engineering teams of key CSP / hyperscale customers to ensure they can reliably manage, update, and operate NVIDIA GPU firmware at fleet scale. You will drive work streams with engineering teams of key CSPs/hyperscale customers to build shared understanding of GPU firmware and system software integration, incorporate their feedback into NVIDIA's feature roadmap and delivery plan, and ensure customer-side automation and recovery procedures are ready before each firmware release. Your cross-CSP visibility enables you to identify patterns in GPU firmware operational challenges that drive systemic improvements no single customer engagement could surface alone. What you'll be doing: Drive GPU firmware & siftware work streams with CSP engineering teams — ensuring they understand GPU firmware architecture (VBIOS, InfoROM, microcontroller firmware), update sequencing, recovery procedures, and GPU power management Gather and synthesize CSP feedback on GPU firmware/software — covering manageability, observability, security requirements (e.g., multi-tenancy isolation, secure boot, attestation), and performance — and champion those priorities into NVIDIA's GPU firmware/software feature roadmap and delivery plan Drive GPU firmware update orchestration for large-scale deployments — multi-GPU update sequencing, rollback strategy, failure handling, and validation across hundreds of GPUs per rack Serve as the technical focal point between NVIDIA and CSP firmware/software engineering — ensuring GPU behaviors (error recovery flows, thermal protection, power state transitions) are well-documented and accessible for customer integration Identify cross-CSP GPU SW/FW issue patterns — common update failu

Artificial IntelligenceAI
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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -84.7%

About the Team Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large-scale optimization, active learning, and other areas. The team builds the performance-critical systems that allow OpenAI's models to run efficiently across a diverse set of AI accelerators. We work across the inference stack, from low-level kernels and compilers through model execution, to unlock the full capabilities of the underlying hardware. About the Role As a Software Engineer, Trainium, you will help bring OpenAI's inference workloads to AWS Trainium and build the software stack required to run cutting-edge frontier models efficiently on the platform. This is a deeply technical, cross-stack role spanning kernels, compilers, and model execution. You will work on the systems needed to support OpenAI's inference stack on Trainium, including developing and optimizing high-performance kernels, improving compiler support, and enabling efficient execution of the model forward pass. You'll work closely with engineers across inference, compilers, kernels, and ML systems to identify performance bottlenecks and build the software needed to take full advantage of Trainium. The work may range from low-level hardware-specific optimization to compiler and runtime improvements to integrating new model architectures into the inference stack. If you enjoy working at the intersection of ML systems, compilers, kernels, and accelerator hardware, this role is for you. We're looking for engineers who are self-directed, comfortable operating across abstraction layers, and excited to solve challenging performance problems for frontier-scale AI systems. In This Role, You Will Build and optimize OpenAI's inference stack for AWS Trainium. Develop high-performance kernels for critical model operations and workloads. Extend and improve compiler support to efficiently target

AWSRestAIRust
S
📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -93.7%

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level. The Role We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization. In this hands-on leadership role, you will manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics. You will be responsible for coaching your team through technical sales engagements, driving execution excellence, and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities. You will translate team-level insights into feedback that shapes broader strategy, working closely with your manager and cross-functional partners to align execution with organizational priorities. Responsibilities & Focus Areas: Technical Execution & Consumption Activation: Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value Coa

Machine LearningAIGoRust
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📍 United States· Full-time
✓ Quality checkedCompany trend -100%

As a Social Media Marketing Manager, you’ll shape Coder’s day-to-day social presence and turn complex AI infrastructure into content people want to watch. You’ll create for technical and business audiences without losing the broader story, using video, strong writing, and a clear point of view. You’ll work closely with Coder’s content marketing, community, field marketing, product marketing, demand gen, and devrel teams (and more) to support campaigns, engage our community, and strengthen Coder’s voice across Instagram, YouTube, LinkedIn, and X. From first idea to final post, you’ll create, publish, engage, measure, and improve. What you’ll do here Own social media engagement. Monitor Coder’s channels daily and respond to comments, mentions, and conversations in a voice that is technical, warm, and on-brand to increase engagement and get more of Coder’s content in front of the right audiences. Create vertical video content end to end. Produce short-form and long-form video for Instagram Reels and YouTube Shorts, including scripting, filming, editing, publishing, and optimization. Execute campaigns. Partner with the cross-functional teams to bring product launches, thought leadership series, customer stories, and event campaigns to life across social media platforms. Repurpose and remix. Turn webinars, blog posts, product demos, and other existing content into social-native formats built for each channel. Track and report. Monitor performance, identify patterns, share insights with the team, and use what you learn to shape the next round of content. Stay current. Keep up with platform trends, algorithm changes, emerging formats, and what is working across developer tools and B2B technology. Manage the content calendar. Keep production organized, maintain a steady publishing rhythm, and surface new ideas before they are requested. What we’re looking for 3+ years of experience creating content for a brand, agency, or independent audience, with a portfolio that shows ra

AWSGitAIGo
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📍 Foster City, California, United States· Full-time
✓ Quality checkedCompany trend -89%

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Job Summary We are looking for an experienced Growth Infrastructure Engineer to build and maintain the technical backbone that enables scalable growth experiments, high-performance data pipelines, and automated systems that drive user acquisition, engagement, and product iteration. This role sits at the intersection of growth, product, and infrastructure — combining deep technical engineering with experimentation and data-driven optimization. You will collaborate with product, data science, and backend teams to ensure that growth initiatives run smoothly and scale efficiently across systems. Key Responsibilities Growth Infrastructure & Systems Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs. Build and optimize analytics pipelines to capture key product and growth metrics (acquisition, activation, retention, etc.). Develop automated workflows for user onboarding, campaign delivery, and performance tracking. Experimentation & Optimization Support A/B testing frameworks and integrate them into production systems. Enable reliable data collection and evaluation for growth experiments. Automate deployment and rollout of growth feature flags and tests. Cross-Functional Collaboration Partner with Growth Product Managers, Data Engineers, and Analysts to define technical requirements for growth initiatives. Translate business goals into technical specifications and system designs. Provide guidance on performance, reliability, and scalability trade-offs. Monitoring & Reliability Implement monitoring and alerting for growth infrastructure services. Troubleshoot production issues and optimize for uptime and performance. Ensure data quality and consistency for report

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