229 jobs found

Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIe3db0d7544b0-0085

Description: Reports To Assistant Manager of Test Engineering Location: Huntsville, AL POSITION SUMMARY: The Test Engineer II serves as a key contributor within the Test Engineering Team at the Huntsville Factory. This role is responsible for supporting, developing, and enhancing test software, hardware, and automation infrastructure, including the use of Python, C#, and MySQL-based solutions to improve test automation, data acquisition, analysis, reporting, and system performance. The Test Engineer II independently executes mid-level engineering projects while mentoring junior engineers and supporting continuous improvement initiatives. ESSENTIAL DUTIES AND RESPONSIBILITIES: Develop, improve, and maintain test software and hardware systems. Support ICT and EOLT system implementation and upgrades Develop and maintain automation scripts, test applications, and data analysis tools using Python and C# to improve test efficiency, data collection, reporting, and process control. Design, maintain, and support MySQL databases used for test data storage, retrieval, analysis, and reporting. Perform in-depth root cause analysis of test failures and implement corrective actions. Read and interpret electrical schematics and debug PCBs to the component level. Lead small-scale improvement projects and collaborate cross-functionally Maintain and repair test fixtures and equipment to ensure uptime and accuracy. Contribute ideas to improve processes and system performance. EXPERIENCE AND EDUCATIONAL REQUIREMENTS: BSEE or related field of study required. 3-6 years of hands-on experience with ICT/EOLT and PCB-level troubleshooting. Intermediate proficiency in C/C++, C#, Python, LabVIEW, CVI, or Visual C. Experience developing test automation, data analysis, and manufacturing support applications using Python and C# Working knowledge of MySQL database design, query development, and data management. Familiarity with both Windows and Linux operating systems. Proficient in Microsoft Excel, Word, and Outlook. SKILLS, KNOWLEDGE & ABILITIES: Strong understanding of analog, digital, and mixed-signal circuits. Effective communicator and proactive team player. Solid multitasking and time management skills. Competency in soldering and rework of through-hole and SMD components. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions: The noise level in the work environment is generally quite. PHYSICAL & MENTAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions: Sedentary physical activity requiring reaching, lifting, finger dexterity, grasping, feeling, repetitive motions, talking and hearing. Visual requirement is for close vision, distance vision, peripheral vision and ability to adjust focus. 80% or more time is spent looking directly at a computer. Employee is occasionally required to stand, walk (or otherwise be mobile). Ability to deal with stressful situations as they arise, apply common sense understanding to carry out detailed but uninvolved written or oral instructions, deal with problems involving a few concrete variables in standardized situations. Requirements: PI11501b9ff70e-6799

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Data Center Technician, you are a primary resolver for your support team, and are skilled at troubleshooting one or more operating systems. You are able to troubleshoot and solve all but the most complex infrastructure issues. Issues are escalated to the appropriate resolver groups when necessary. You create and maintain documentation on technologies you support and are able to convey SOPs to junior staff. You understand all aspects of the equipment you support. You know how to innovate and make decisions on his/her own, but also know how to take direction when it is given, paying attention to all details involved. You are able to execute small projects on your own and work with your manager in planning and executing larger local projects. You act as an escalation point for junior technicians. You understand all aspects of the equipment you support. Position may include rotating shifts, 3, 4, or 5 day/night work weeks, and may change based on the needs of the business. Travel may be required up to 10% of the time. This position will fill an opening at one of multiple separate sites. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. About the team 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. Amazon values diverse experiences. Even if you do not meet all of the preferred 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. 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. 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. 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 - High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Knowledge of hardware platforms - 1+ years of computer networking experience, or experience in computer networking - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OH, Plain City - 33.00 - 58.00 USD hourly

Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description About the Role Teserac is building neuron , a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous environments - giving infrastructure owners the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7. We are seeking an AI/ML Engineer who is excited to build intelligent systems at the intersection of applied AI and critical infrastructure. You will work across the full AI development lifecycle - from data pipelines and model integration to agentic orchestration, evaluation, and production support - collaborating closely with a small, fast-moving engineering team. This is not a research-only role, but research thinking matters here. You will be expected to read papers, stay ahead of the field, and bring ideas to the table - then build them into production systems. Who We Are Looking For We care more about how you think than how many years are on your resume. This role is open to both junior and senior candidates. What matters is: You are genuinely excited about AI and infrastructure - not just one of them You learn fast, go deep, and can hold your own in a technical debate You have the engineering fundamentals to ship reliable systems You are proactive, curious, and comfortable with a steep learning curve You want to work on something technically hard that actually matters in the physical world If you are early in your career but have strong fundamentals, a track record of self-directed learning, and a portfolio that shows you build things - we want to hear from you. What You Will Work On Multi-agent orchestration and LLM-driven triage workflows Time-series modeling for anomaly detection, failure prediction, and health forecasting on multivariate telemetry Retrieval-augmented knowledge systems for operations teams Data and ML pipelines - ingestion, ETL, and dataset construction Fine-tuning and post-training of language models for operational use cases AI observability, evaluation frameworks, and production performance benchmarking Responsibilities Design, develop, and maintain AI-powered applications and automation workflows Integrate and optimize LLM APIs for production use cases Build and refine retrieval and knowledge-augmentation pipelines Develop evaluation frameworks to benchmark AI system performance Implement monitoring, tracing, and debugging capabilities for AI systems Read and synthesize relevant research; bring ideas forward and debate them with the team Contribute to AI architecture decisions and production hardening Stay current with the rapidly evolving AI/ML landscape Requirements Required Degree in Computer Science, Machine Learning, Mathematics, or a related field - or equivalent demonstrated experience Strong proficiency in Python Solid software engineering fundamentals: testing, version control, CI/CD Experience working with LLM APIs in applied contexts Familiarity with agentic system concepts - tool/function-calling, agent frameworks Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.) Ability to read ML research papers and translate ideas into practical experiments Strong analytical thinking and clear communication - you can argue a position and update it when wrong Preferred Professional AI/ML engineering experience (any level) Experience building agentic systems using frameworks such as LangGraph or LangChain; MCP a plus Time-series modeling - forecasting and anomaly/failure prediction on multivariate data Experience fine-tuning or post-training language models PyTorch and/or model serving frameworks (e.g., vLLM) Experience building data and ML pipelines - ingestion, ETL, dataset construction Familiarity with cloud ML platforms, particularly GCP (Vertex AI) LLM evaluation and benchmarking: harness design and eval loop development Domain experience with data center or industrial telemetry, BMS/OT protocols (Niagara, BACnet/Modbus) Background in DevOps, distributed systems, or observability tooling Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) Free Food & Snacks Stock Option Plan 401(k)

Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K

Job Description Job Description Position Overview: As a Junior Software Engineer on our Integration and Distributed Systems team, you'll help build the tools that power large-scale computation behind our printing workflows. Turning complex build geometry into print instructions requires running heavy workloads across AWS and compute clusters, and we provide systems that make this process reliable and easy to manage. In this role, you'll work on job monitoring, error reporting, retries, and other core services, while collaborating closely with customers to support adoption and continuously improve the experience. Responsibilities Extend our existing tools to handle integrations with third party simulation software Maintain and improve our tools for running jobs on AWS. Bring our cluster tools up to parity with our AWS tools. Requirements Experience with C++ or other compiled language Familiarity working in a structured development environment (revision control, code review etc) Familiarity with parallel and concurrent systems Facility with command line tooling Nice to Haves Experience with AWS Experience with linux Experience with geometric computation About the Company: Velo, Velo3D, Sapphire and Intelligent Fusion are registered trademarks of Velo3D, Inc. Without Compromise, Flow, Flow Developer, and Assure are trademarks of Velo3D, Inc. With the only SupportFree laser powder bed fusion capability, we enable on-demand manufacturing of production quality Titanium, Inconel, and Aluminum parts with an unprecedented degree of design freedom and quality control. The VELO3D award-winning solution includes an integrated offering of hardware and software: Sapphire metal AM production printer, Flow print preparation software, Assure quality assurance and control system, and an integrated manufacturing process that runs throughout the printing operation. Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions. We believe in transparency and recognizing exceptional efforts through our monthly all-hands meetings and team member appreciation awards. Our job titles may span more than one career level. The starting base salary for this full-time position is between $104,000 and $130,000. This salary range reflects the minimum and maximum target for this position in the U.S. The actual base pay is dependent upon many factors, such as work experience, job-related skills, related education, work location, and market demands. The base pay range is subject to change and may be modified in the future. In addition to a competitive base salary and a comprehensive benefits package, this position may be eligible for other forms of compensation such as participation in a bonus and equity program, as applicable. Velo3D provides equal employment opportunities to all employees and applicants for employment without regard to, and prohibits discrimination and harassment based on, race, color, religion, age, sex, national origin, disability, medical condition, genetic information, military or veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About Cyngn Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we're publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders-they also get access to the liquidity of our publicly-traded equity. We build today and deploy tomorrow. Our autonomous vehicles aren't just test concepts-they're deployed to real clients right now. That means your work will have a tangible, visible impact. We aren't robots. We just develop them. We're a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone's perspective matters-and that's what powers our innovation. About this role: Cyngn builds autonomous industrial vehicle solutions that run in real warehouses and outdoor yards-not demos. As a Robotics Integration Engineer (Mid-Junior) , you'll help bring autonomy to life by integrating hardware + sensors + vehicle software into a reliable, production-ready stack. This is a hands-on role working with Linux systems , real sensors, and real vehicles-partnering closely with senior robotics, autonomy, and platform engineers to ship systems that are stable, debuggable, and performant in industrial environments. Responsibilities Integrate and validate sensors such as LiDAR, cameras, IMU/GNSS , and other vehicle hardware. Own mission-critical system pieces: state management , health monitoring, diagnostics, logging, and fleet-ready tooling. Work on vehicle communications including CAN bus (interfaces, message handling, reliability, basic ECU/firmware touchpoints). Build and maintain the glue that makes the stack work: drivers, bring-up scripts, config management, calibration workflows , and time synchronization basics. Troubleshoot complex issues across hardware + software + networking (timing drift, dropped frames, driver issues, flaky connections, bandwidth constraints). Profile and optimize performance for real-time-ish workloads (high-bandwidth sensor streams, CPU/memory bottlenecks, startup stability). Help create and maintain integration tests and validation workflows (reproducible tests, automated checks, regression catches, log replay). Collaborate across perception, localization, controls, and product teams to integrate systems cleanly and ship improvements quickly. Write clear documentation for integration procedures, system configuration, and "how to debug this when it breaks." Qualifications 2-4+ years in robotics integration, autonomy, embedded/systems engineering, or adjacent experience working close to hardware. Strong programming ability in: C++ (systems/performance -critical code) Python (tooling, automation, integration glue) Shell scripting (Linux workflows, debugging, automation) Solid experience with Linux (Ubuntu) , including building, packaging, and running systems in the field. Comfort with sensor + hardware bring-up (drivers, calibration workflows, time sync concepts, logs, reproducible setup). Understanding of networking fundamentals (TCP/UDP, bandwidth/latency tradeoffs, basic multicast, and debugging with common tools). Strong debugging instincts: you can form a hypothesis, gather evidence, and drive to root cause across layers. Clear communicator with good documentation habits and a low-ego, team-first approach. Bonus Qualifications Experience with ROS 2 (nodes, launch, TF2, bags, QoS) or other robotics middleware frameworks. Experience with CAN tooling (SocketCAN, DBC workflows) and/or ECU/firmware update flows. Experience with containerized deployments (e.g., Docker) or production deployment patterns on vehicles. Familiarity with profiling tools (perf, top/htop, valgrind, gdb) and performance tuning. Exposure to OTA / device management systems (e.g., AWS Greengrass) or fleet rollout practices. Understanding of safety-oriented development practices (fault handling, watchdogs, redundancy concepts). Experience with simulation environments (e.g., NVIDIA Isaac Sim , Gazebo, or similar) for integration and regression testing. CI/CD experience for robotics stacks (automated builds/tests, hardware-in-the-loop or log replay workflows). Benefits & Perks Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge) Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums) Company 401(k) Commuter Benefits Flexible vacation policy Remote or hybrid work opportunities Sabbatical leave opportunity after 5 years with the company Paid Parental Leave Daily lunches for in-office employees Monthly meal and tech allowances for remote employees Please note salary range is for Bay Area residents - we're still accepting remote applicants! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description Job Description Senior Engineer, Internal Tools, Artificial Intelligence (AI) Required, Work From Home The Senior AI Engineer is the engineering backbone of the internal tools team. Building and maintaining the platforms that every team in the company relies on. Your work directly increases organizational efficiency and enables teams to move faster. The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem. This position is 100% Remote. Senior Engineer Responsibilities: Build & Ship: - Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams. - Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. - Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products. Architecture & Integration: - Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. - Design for reliability, performance, and scale what you build today must hold as the company grows 5-10x. - Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems. - Own your services in production: monitoring, alerting, incident response, and post-mortems. AI & Automation: - Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes. - Move fast from prototype to production. You know the difference between a demo and a system that works at scale. - Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity. Collaboration & Influence: - Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don't wait for a spec you help shape it. - Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example. - Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Qualifications Senior Engineer Qualifications: - 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. - Artificial Intelligence (AI) experience required. - Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java. - Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices. - Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). - Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. - Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. - Clear communicator who can explain technical tradeoffs to non-technical stakeholders. - Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus. - Frontend experience with React, Next.js, or equivalent modern frameworks is a plus. - Familiarity with HRIS, ERP, or people systems data models and processes is a plus. - Experience at a high-growth or AI-native company is a plus. - Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. - Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Senior Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Senior Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .

Job Description Job Description No subs- No sponsorship Remote AI Engineer (Mid-Senior) United Global Technologies (UGT) Remote (U.S.), Full-time UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed - and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio. WHAT YOU'LL DO - Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate. - Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths. - Architect scalable data pipelines - aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems. - Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages. - Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM. - Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform. - Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI). - Mentor a junior AI engineer and help establish engineering conventions and onboarding standards. WHAT WE'RE LOOKING FOR (REQUIRED) - 5+ years of professional software / AI engineering experience, with a strong Python foundation. - Hands-on experience building LLM / RAG applications - retrieval, chunking strategies, prompt orchestration, and evaluation. - Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini. - Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent). - Practical understanding of security and data governance, including handling of sensitive or controlled data. - U.S. citizenship or permanent residency (supports a federal / DOE environment). - Ability to provide consistent support during Pacific Time core business hours. NICE TO HAVE (PREFERRED) - Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment. - Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance. - Experience using Microsoft Copilot for enterprise RAG use cases. - Experience integrating application and AI logging into a SIEM. - Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge. EMPLOYMENT & ELIGIBILITY - Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role). - Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required. - Must reliably support Pacific Time core business hours. - U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work). - Government-furnished equipment provided for the engagement. ABOUT UGT United Global Technologies, Inc. (UGT) is a Charlotte, NC-based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.

Job Description Job Description San Francisco, CA On-site Full-time Compensation: $200,000-$300,000 + 0.1%-0.2% equity About the Company Our client builds infrastructure for agent behavior monitoring. Where traditional observability focuses on logging exceptions and latency, this surfaces behavioral anomalies - instruction drift, context-retrieval loss, hallucinations - in scaled production environments. Hundreds of teams building autonomous agents rely on it to understand how their systems behave post-deployment, turning real usage data into scoring and feedback loops that continuously improve agent reliability, performance, and decision-making at scale. It raised significantly across two rounds in the past five months. Founded 2024 under 20 people Industry: AI infrastructure / observability The Role A Forward-Deployed AI Engineer who embeds the platform directly into customers' production systems - integrating monitoring and evaluation into real agent workflows, diagnosing failures in live environments, and driving deployments to reliable production use. It's heavily customer-facing: strong communication is as critical as engineering depth. The team explicitly prioritizes strong software engineers who can flex into a forward-deployed role over candidates with a purely solutions background. Tech stack: Full-stack with backend/infra weight; production AI / LLM-based systems. Requirements 3-7 years of software engineering, with strong product-engineering ability shipping features end to end inside customer codebases Some form of applied AI experience (AI-adjacent exposure preferred over a pure solutions hire) Strong customer-facing communication - explains complex concepts clearly and builds trust with technical and non-technical stakeholders Comfort deploying AI or LLM-based systems into real production environments Ability to translate ambiguous customer goals into concrete technical solutions The forward-deployed role is your genuine first choice, not a fallback Based in SF or willing to relocate; 5 days in person Wants to be a technical founder in the future Nice to Haves A strong software-engineering background from a solid product company (e.g., Roblox, Snapchat, Tesla; Databricks-tier a bonus) Experience deploying AI or LLM-based systems to production A background from infrastructure/observability companies (e.g., Databricks, Datadog, Cognition) 4-5+ years of engineering experience (strong juniors welcome case-by-case) Genuinely set on the FDE role as a first choice A technical background (coding competitions, research) in addition to solutions experience Why Join A founder training ground: own customer engagements end to end across real production systems, with the scope and autonomy of founding a technical company Deep technical and customer ownership on a fast, well-funded team shipping at high velocity with a sub-20-person team Top-of-band comp and perks: $200K-$300K, 0.1%-0.2% equity, full benefits, gym membership, private chef, and direct influence on the roadmap Details Location - San Francisco, CA Work policy - On-site, 5 days/week Compensation - $200,000-$300,000 + 0.1%-0.2% equity Visa sponsorship - H-1B, O-1, OPT considered case-by-case for exceptional candidates; main scope is candidates who don't require sponsorship Employment type - Full-time

Job Description Job Description About Us: We are building a robust, scalable trading platform to serve high-traffic, latency-sensitive applications. Our infrastructure leverages state-of-the-art technologies to support real-time trading while providing unparalleled reliability and performance. Join us to shape the future of our platform and engineering culture. Job Summary: We are looking for a Senior DevOps & Platform Engineer to lead the design, implementation, and management of our AWS-centric infrastructure. You will play a pivotal role in maximizing the velocity of our product engineering team, ensuring platform scalability, reliability, and security. This is a high-impact role, combining elements of DevOps, Platform Engineering, and Site Reliability Engineering (SRE). You will champion best practices, shape the engineering culture, and ensure our platform is robust, efficient, and ready for the future. Key Responsibilities: Platform Engineering Infrastructure Design: Architect and implement scalable infrastructure to support the deployment and management of our trading platform. Developer Tooling: Build and maintain internal tools to streamline developer workflows, including advanced CI/CD pipelines. Infrastructure as Code (IaC): Champion IaC practices using Terraform, CloudFormation, or Pulumi. Core Services Management: Manage and optimize platform-critical services such as: NATS Cluster RabbitMQ AWS RDS PostgreSQL Redis Cluster DevOps Automation and CI/CD: Automate and optimize deployment processes to ensure seamless continuous integration and delivery. Container Orchestration: Manage and scale containerized workloads using Kubernetes and Docker. Cloud Optimization: Monitor and optimize cloud resource usage for performance and cost efficiency. Site Reliability Engineering (SRE) Reliability Metrics: Define and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Monitoring & Observability: Implement observability tools and dashboards (e.g., Prometheus, Datadog, Grafana) for real-time system monitoring. Incident Management: Lead incident response efforts, conduct root cause analysis, and implement actionable postmortem reviews. Infrastructure Management AWS Expertise: Architect and manage cloud-based systems to handle high-traffic, latency-sensitive applications. Disaster Recovery: Implement robust disaster recovery and business continuity strategies, including backups and multi-region failover. Security Practices: Collaborate with security teams to enforce best practices for IAM, encryption, and compliance. Collaboration & Leadership Cross-Team Collaboration: Partner with software engineers to design infrastructure solutions tailored to their application needs. Culture Building: Help shape the engineering culture, promoting a philosophy of security, velocity, and reliability. Mentorship: Mentor junior engineers and document best practices to drive knowledge sharing and operational excellence. Long-Term Tech Evolution Backend Transition: Contribute to evolving our backend microservices (currently NodeJS, with some Python and C#) towards Go and Rust. Third-Party Integration: Evaluate and integrate critical third-party software and infrastructure, such as payment gateways and mobility stacks. Your Impact: Simplify infrastructure concerns for product teams to accelerate builds, deployments, and scaling. Advocate for modern practices like Zero Trust Networking and continuously improve platform architecture. Balance the demands of product velocity with a well-managed, secure, and scalable platform. Required Skills & Experience: Technical Expertise Cloud Experience: 5-8+ years of hands-on experience with cloud platforms, particularly AWS, including services like EC2, RDS, S3, Lambda, and VPC. Containerization: Proficiency with Docker and Kubernetes (EKS) or ECS. Infrastructure as Code (IaC): Strong experience with Terraform, CloudFormation, or Pulumi. Programming Skills: Proficiency in at least one programming language (e.g., Python, Go, TypeScript/JavaScript, Ruby, Java). DevOps & SRE CI/CD Pipelines: Expertise in building and maintaining CI/CD workflows using tools like GitLab CI, Jenkins, or GitHub Actions. Monitoring Tools: Experience with observability platforms (e.g., Prometheus, Datadog, Grafana). Incident Management: Proven ability to handle incident response, root cause analysis, and postmortem reviews. Soft Skills Problem-Solving: Ability to research, design, and deliver solutions to complex infrastructure challenges. Collaboration: Experience working directly with product engineers to improve workflows incrementally. Leadership: Ownership mindset with the ability to mentor team members and advocate for best practices. Preferred Skills (Nice-to-Have): Familiarity with backend languages like Go or Rust. AWS certifications (e.g., Solutions Architect, DevOps Engineer). Experience with networking concepts (e.g., load balancers, DNS, VPNs) and traffic optimization. Knowledge of emerging CNCF technologies and CI/CD trends. What We Offer: Competitive salary with future equity options Opportunities to work with cutting-edge technologies and evolve our platform. Flexible working hours and a remote-friendly environment. Professional growth through certifications, conferences, and internal training. Collaborative culture focused on innovation and operational excellence.

Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. We are seeking a highly experienced Senior Site Reliability Engineer - Compute Platforms to design, implement, and support Kubernetes on baremetal and hypervisor platforms in a private cloud environment. This role is responsible for the architecture, design, and standardization of enterprise compute and hypervisor environments spanning bare metal infrastructure, operating systems, hypervisors, private cloud orchestration, and Kubernetes using Infrastructure-as-Code and GitOps practices. This is a deeply technical role requiring expert-level understanding of compute hardware management, Kubernetes, OpenStack, hypervisors and extensive working knowledge on Linux Operating systems. You will also collaborate with platform and SRE teams to maintain secure, performant, and multi-tenant-isolated services that serve high-throughput, mission-critical applications. Key Responsibilities Lead the architecture and design of enterprise compute and hypervisor platform solutions across hardware, OS, virtualization, cloud orchestration, and container orchestration layers Define standards and automation frameworks for bare metal provisioning and lifecycle management Design and implement Bare Metal as a Service (BMaaS) capabilities for scalable infrastructure consumption Architect and design Kubernetes platforms on bare metal with QoS and Affinity (ArgoCD) Architect and validate automated deployments of operating systems and hypervisors including Ubuntu and Harvester Design and maintain PXE-based provisioning environments leveraging Redfish APIs for large-scale server deployments Develop Infrastructure-as-Code using Ansible, Terraform, Helm and Git, with Python/Bash automation. Implement CI/CD pipelines for infrastructure updates, patching, upgrades, testing, and rollback. Design automated workflows for server build, firmware lifecycle management, patching, and hardware validation Evaluate and standardize enterprise hardware platforms to meet performance, scalability, and reliability requirements Produce detailed high-level and low-level design documentation , build guides, and operational handoff materials Perform deep troubleshooting across storage, Kubernetes, hypervisors, networking, and Linux systems Partner with operations, network, storage, and platform teams to ensure designs are supportable and production-ready Participate in on-call escalation support for complex platform-related issues Collaborate globally on change management , documentation, and operational best practices Minimum Qualifications 6 + years of experience in infrastructure engineering, platform engineering, or DevOps with a strong focus on Compute system design Proven experience designing and automating bare metal compute environments at scale Strong hands-on experience with PXE boot, network-based OS provisioning, and automated server imaging Experience implementing or supporting Bare Metal as a Service (BMaaS) platforms Practical experience using Redfish APIs for hardware provisioning, power management, and remote lifecycle operations Deep expertise with Ubuntu Linux in enterprise environments Strong Hands-on experience with KVM hypervisors (Suse Harvester, OpenStack). Experience designing and deploying production-grade Kubernetes clusters Strong background with enterprise compute hardware platforms , including Cisco UCS, Dell PowerEdge, Supermicro systems & HPE Proficiency with Infrastructure as Code tools (e.g., Terraform, Ansible, or similar) Experience building or supporting CI/CD pipelines for infrastructure and platform automation Strong scripting skills in Python, Bash, or similar languages Demonstrated ability to produce clear, structured technical design documentation Excellent written and verbal communication skills Bachelor's degree in computer science or equivalent professional experience Preferred Qualifications OpenStack, Ubuntu KVM administration. BareMetal as a Service (PXE, Redfish). Kubernetes on BareMetal CIS/NIST security and infrastructure lifecycle management. ITIL Foundation/advanced certifications in support of ITSM standard methodology. Background in telco, edge cloud, or large enterprise environments. Ubuntu Certifications, CNCF Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS) Master's degree in computer science, IT, Engineering, or a related field preferred; equivalent experience and relevant industry certifications will also be considered What You'll Get A collaborative team that's deeply invested in infrastructure excellence. Complex technical challenges that require creative, scalable solutions. The opportunity to shape a next-generation private cloud platform-built reliability Access to the latest tools, frameworks, and upstream project developments Skills and Attributes: Analytical Thinking & Problem Solving: Demonstrated ability to translate complex, cross-domain requirements into scalable and resilient cloud infrastructure and automation solutions Collaboration & Teamwork: Strong interpersonal and communication skills with a proven track record of effective collaboration across multidisciplinary teams, including developers, operations, security, and product stakeholders Mentorship & Leadership: Passionate about knowledge-sharing and mentorship, with experience guiding junior engineers and fostering a team culture of continuous learning, innovation, and technical excellence in cloud engineering and DevOps practices Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching. Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents. Generous employee stock purchase plan. Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $82,300-$228,800 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: -pt/legal. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

Job Description Job Description Location: San Francisco, CA (Hybrid) 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 We're seeking an experienced Senior Optimization Engineer to join our Data Science Team. In this role, you will lead the design, development, and deployment of optimization models that power our software platform across applications including electricity markets, renewable energy, and battery energy storage systems. You will be responsible for developing production-grade optimization engines that solve complex operational and planning problems at scale. This role requires deep expertise in mathematical optimization, strong software engineering skills in Python, and experience building optimization models that integrate with production systems. The ideal candidate has significant experience in the energy industry, particularly electricity markets and battery storage optimization. This position emphasizes technical leadership, ownership of complex optimization projects, and collaboration across engineering, product, and commercial teams to deliver high-impact optimization solutions. Key Responsibilities Lead End-to-End Optimization Engineering: Lead the development of optimization solutions from mathematical formulation through production deployment. Translate business requirements into scalable optimization models and implement them as robust, maintainable Python software. Design reusable optimization frameworks and services that integrate seamlessly into Verse's cloud platform and support long-term product development Optimization Modeling & Solver Development: Design and implement mathematical optimization models using linear, mixed-integer, quadratic, and related optimization techniques. Formulate robust models for scheduling, dispatch, planning, and operational decision-making, and improve solver performance through model reformulation, decomposition methods, warm starts, heuristics, and parameter tuning to ensure scalable, production-ready optimization solutions. Energy Systems Modeling: Develop optimization models for electricity markets, battery energy storage systems, renewable energy assets, and other distributed energy resources. Translate market rules and operational constraints into mathematically rigorous optimization formulations. Software Engineering & Productionization: Write clean, well-tested, and maintainable Python code following modern software engineering best practices. Contribute to architecture decisions, testing frameworks, CI/CD pipelines, and deployment of optimization services. Cross-Functional Collaboration: Partner closely with product managers, software engineers, data scientists, and commercial stakeholders to understand business requirements and deliver optimization capabilities that integrate into customer-facing products. Technical Leadership: Mentor junior engineers, establish best practices for optimization modeling and software development, conduct code reviews, and help shape the technical direction of Verse's optimization platform. What We're Looking For (Minimum Qualifications) 5+ years of professional experience developing mathematical optimization models in production environments Demonstrated experience independently leading complex optimization projects from formulation through deployment Professional experience developing production software in Python Experience deploying optimization models into scalable production systems Professional experience in the energy industry is required Experience with battery energy storage optimization is strongly preferred Master's degree or higher in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Electrical Engineering, or a related quantitative field. A bachelor's degree with significant relevant experience may also be considered. What Will Make You Stand Out (Preferred Qualifications) Experience optimizing battery energy storage systems in wholesale electricity markets Knowledge of market optimization problems involving ISO/RTO markets (CAISO, ERCOT, PJM, MISO, NYISO, ISO-NE, etc.) Familiarity with stochastic optimization, robust optimization, or multi-stage optimization methods Experience developing optimization services for real-time or operational decision support systems Experience mentoring engineers or leading technical projects PhD in Operations Research, Applied Mathematics, Industrial Engineering, or a related quantitative discipline What makes Verse a great place to work? Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations Base Pay Range $150,000-$210,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks Competitive compensation and equity grant at a high-growth start up Comprehensive benefits package including medical, dental and vision insurance, and 401k Flexible hours and unlimited PTO Diverse and inclusive working environment Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

MBSE Systems Engineer Contract 40 hours weekly 6+ months Active Top Secret is Required This position pays between $75 to $90 per hour Role can be Hybrid, TBD The Systems Engineer should have experience architecting systems, working across the Systems Engineering Lifecycle, and in Digital Engineering/Model-Based Systems Engineering (MBSE) achieving architectural integrity and traceability through requirements analysis, system and software development and production system deployment. This position offers the opportunity to work with leading domain experts in sensors development and cyber security and will incorporate MBSE tools and techniques. The ideal candidate will be well-versed in Systems Engineering techniques, Modeling and Simulation, and Digital Engineering/MBSE and be excited about opportunities to mentor more junior staff and help foster growth of subject matter expertise across the organization. In addition to modeling in SysML, the Systems Engineer will be responsible for implementing customization and automation techniques offered by Cameo to enable multi-disciplinary programs to comply with DoD Digital Engineering goals. Proficiency in one or more high-level language (C/C++, Java, Python) is highly desired. Experience connecting SysML models with DoD simulation frameworks such as AFSIM is ideal. The Systems Engineer should have experience implementing a rigorous MBSE approach to develop DoD systems. New programs will be looking to adopt agile approaches that incorporate model-based requirements management and traceability with software development. This position is well suited for a Systems Engineer with a software development background who is interested in improving the state of the practice and demonstrating the advantages that MBSE can offer. What you will do: Leading development programs through the Systems Engineering process using MBSE approaches that support DoD Digital Engineering goals Implementing rigorous MBSE approaches using SysML in Cameo (MagicDraw) Providing mentorship and training of Systems Engineers on the use of MBSE Working closely with domain experts and software development teams to realize program designs and digital engineering goals Implementing traceability between MBSE model content and domain-specific analysis tools and simulation Who you are: This position requires an Active DoD Secret Clearance with the ability to obtain a Top Secret (TS) Security Clearance, for which U.S. citizenship is needed by U.S. Government BS, MS or PhD in Systems Engineering, Aerospace Engineering, or related technical field Minimum of 2 years experience working with SysML models in Cameo (or similar tool) Experience working with software-intensive systems and open architecture Nice to haves: Active Top Secret Security Clearance 5+ years' experience in architecting systems using system modeling tools Technical Project Lead experience Domain expertise in one or more of the following areas is desirable; Radar, Electronic Warfare, Acoustic, Antenna Apertures, Sensor Resource Management, Sea/Air/Space, Large-Scale Platform Test Systems, Cyber Physical Systems, Open System Architectures (UCI, OMS, COARPS) Proficiency in Java, C/C++ or Python Agile software development experience Familiarity with specific government open architectures (e.g., Open Mission Systems) Experience with the Advanced Framework for Simulation, Integration and Modeling (AFSIM)

Stop Guessing What Employers Want - Start Delivering It! No Interviews or Offers? Get Hired with a Process! Most job seekers guess what employers want, but SynergisticIT shows you exactly what companies are hiring for right now. You'll work on the most in demand technologies, build real world projects, and receive interview preparation tailored to current industry expectations. Also you will get your profile directly to Fortune 500 clients ensuring your skills reach the right people. Whether you're a new graduate or someone returning after a gap,Synergisticit helps you align your abilities with employer needs. When you stop guessing and start delivering, getting hired becomes much easier. In today's market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solves-because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands-think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair, and many more-often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove. Here's the truth employers hire based on whether you can handle real work-clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired" bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): USA Today feature Discover JOPP: Contact: You don't need more random applications. You need a job-ready plan. Start smarter-start with the right support. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Junior data scientist/Data Engineer - Build the Backbone of Data-Driven Teams Data engineering is a powerful path for candidates who like databases, pipelines, Python, SQL, and systems thinking. Data scientists and analysts depend on clean, accessible, reliable data-and data engineers help make that possible. Entry-level candidates can stand out by showing they understand data movement, transformation, storage, and workflow basics. SynergisticIT is seeking candidates interested in SQL, Python, ETL, data pipelines, databases, data modeling, cloud data tools, analytics engineering, and data warehouse concepts. This opportunity is ideal for candidates who want to build a technical data career beyond dashboards or notebooks. SynergisticIT JOPP is good for junior data engineering candidates because it helps them develop practical technical depth and job-ready proof. Candidates can work toward stronger projects, better resume alignment, interview preparation, and clearer positioning for data engineering, data analyst, and data science-adjacent roles. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): USA Today feature Discover JOPP: Contact: If you want to build the systems behind modern data teams, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.