Rochester Precision Optics LLC
West Henrietta, New York
Title System & Network Administrator Department Information Technology Reports to Information Technology Manager SEE YOUR CAREER THROUGH A NEW LENS WITH RPO! RPO is a global leader in precision optics, optical components, and optical assemblies. We specialize in a full spectrum of products & services including - Design and Engineering, Systems Integration, Lens Assembly, Visible and Infrared Components, Glass and Plastic Molded Aspheres, and Thin Film Coating. As one of the fastest growing companies in Rochester, RPO offers exciting career paths and work on market-leading programs. See below one of many career opportunities to join the RPO team! Job Summary: Rochester Precision Optics, LLC is seeking a Systems & Network Administrator to support and operate the company's core IT infrastructure within a regulated manufacturing environment. This role is responsible for the administration and operational stability of server, network, cloud, and enterprise infrastructure platforms supporting approximately 300 users across corporate and manufacturing operations. The Systems & Network Administrator works closely with the IT Manager to maintain a secure, reliable, and compliant infrastructure, including implementation of technical controls aligned with NIST 800-171 and CMMC 2.0 requirements. This is a hands-on role where the successful candidate will take ownership of infrastructure operations, contribute to the ongoing improvement and modernization of the organization's infrastructure platforms, and serve as an escalation resource for complex technical issues. Summary of Essential Job Duties: Infrastructure & Systems Administration Administer and maintain Windows Server environments and enterprise infrastructure systems Manage Active Directory, DNS, DHCP, Group Policy, and identity infrastructure Support virtualization platforms such as VMware or Hyper-V Provision and maintain virtual machines and server resources Monitor infrastructure performance, system capacity, and service availability Perform patch management and security updates for servers and infrastructure systems Maintain file services, storage systems, and system health monitoring Administer enterprise backup platforms and validate backup integrity through periodic recovery testing Administer enterprise software deployment platforms including PDQ Deploy and related deployment tooling Create and maintain standardized software deployment packages for enterprise applications and operating system updates Coordinate controlled rollout of software updates and application upgrades across managed systems Maintain infrastructure documentation including system configuration standards and architecture diagrams Network Infrastructure Administration Maintain & support network infrastructure including switches, firewalls, VPN, and wireless networks Configure and support VLANs, routing, and subnetting Configure and maintain firewall policies, access rules, and network security controls Maintain network authentication systems supporting secure wired and wireless access Support VoIP and network-connected infrastructure including cameras and related technologies Maintain and troubleshoot DNS, DHCP, routing, and other core network services Support structured cabling, patch panel management, and infrastructure expansion projects Maintain network diagrams, segmentation documentation, and infrastructure configuration records Microsoft 365 GCC High Administration Administer Microsoft 365 GCC High tenant services including Exchange Online, Microsoft Teams, and Entra ID Configure and maintain Conditional Access policies and secure authentication configurations Support identity lifecycle integration between on-premises Active Directory and Entra ID Provide Tier 2/3 escalation support for advanced Exchange Online and Teams issues Assist with Microsoft Purview administration including eDiscovery searches, retention policies, and litigation hold support Maintain secure messaging and collaboration configurations aligned with regulatory requirements Endpoint & Mobile Device Management Platform Administration Administer enterprise device management platforms including Microsoft Intune and Endpoint Central Configure and maintain device enrollment policies, compliance policies, and security baselines Integrate device compliance enforcement with Conditional Access authentication policies Provide Tier 3 escalation support for complex endpoint and mobile device management issues Support device security posture aligned with organizational security and compliance requirements Enterprise Infrastructure Platforms Maintain backend infrastructure supporting enterprise applications including ERP, SQL Server, and FileMaker hosting environments Support infrastructure stability for unified communications platforms such as 3CX VoIP Maintain backend infrastructure supporting physical security platforms including badge access control and video surveillance systems Maintain infrastructure supporting enterprise print services and related systems Support infrastructure used for digital signage, IoT devices, and other network-connected systems Security & Compliance Operations Implement and maintain infrastructure security controls aligned with NIST 800-171 and CMMC 2.0 requirements Partner with internal leadership and external compliance advisors on cybersecurity initiatives Maintain secure configuration baselines and infrastructure hardening standards Ensure infrastructure systems generate and forward logs to centralized monitoring platforms Support vulnerability remediation across infrastructure platforms Assist with investigation of infrastructure-level security alerts and anomalies Support audit readiness activities and collection of technical compliance evidence Collaboration & Operational Support Serve as Tier 2 / Tier 3 escalation resource for complex infrastructure and systems issues Collaborate with IT leadership on infrastructure improvements and modernization initiatives Assist with enterprise application upgrades and infrastructure lifecycle projects Provide mentorship and technical guidance to IT support staff Participate in rotating on-call coverage for infrastructure alerts and critical incidents Qualifications: Bachelor's degree in Information Technology, Computer Science, or related field preferred, or equivalent combination of education and experience. Relevant industry certifications such as Network+, Security+, Microsoft, or VMware certifications are a plus. 5+ years of experience in systems administration, infrastructure engineering, or related roles Strong knowledge of Windows Server, Active Directory, and Microsoft enterprise environments Experience managing network infrastructure including VLANs, switching, firewalls, and VPN technologies Experience supporting Microsoft 365 environments (GCC High experience preferred) Experience with virtualization platforms such as VMware or Hyper-V Experience administering enterprise endpoint management platforms (Intune, Endpoint Central, or similar) Experience supporting enterprise backup platforms and disaster recovery planning Familiarity with enterprise deployment tools and automation scripting (PowerShell preferred) Experience supporting infrastructure hosting enterprise applications or ERP systems preferred Familiarity with NIST 800-171 or CMMC security frameworks preferred You Are: Results-Oriented: Motivated, hard-working and ready to level-up; Curious: You never stop learning and have an insatiable desire to gain new skills and knowledge; Process Oriented: Well organized, demonstrating attention to detail; Analytical: Possess a"If there's a problem, I'll find a solution" attitude; Accountable: Demanding the highest quality from yourself and team members; Detail-Oriented: Have excellent time management and organizational skills; A Team Player: Reliable, collaborative, flexible with a positive 'get things done' attitude; A U.S. Person: Compliant with ITAR, EAR and other laws and regulations as defined: "U.S. citizens, lawful permanent residents ("Green Card" holders), persons granted refugee status or asylum status in the United States, or temporary residents granted amnesty." You Will Enjoy: Growth: The opportunity to learn and advance your career; Wealth: Competitive compensation package linked to your experience and performance, a 401(k) with company match; Wellness: Health, dental, vision & life insurance; Balance: 11 paid holidays, generous paid vacation and sick -time; Culture: an energetic, caring, fun, value-driven team. Work environment & Physical Demands:While performing the duties of this job, the employee is regularly required to stand, use hands & fingers, handle or feel, and reach with hands and arms. The employee frequently is required to stand, walk, stoop, kneel, crouch, talk and hear. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception . click apply for full job details
03/04/2026
Full time
Title System & Network Administrator Department Information Technology Reports to Information Technology Manager SEE YOUR CAREER THROUGH A NEW LENS WITH RPO! RPO is a global leader in precision optics, optical components, and optical assemblies. We specialize in a full spectrum of products & services including - Design and Engineering, Systems Integration, Lens Assembly, Visible and Infrared Components, Glass and Plastic Molded Aspheres, and Thin Film Coating. As one of the fastest growing companies in Rochester, RPO offers exciting career paths and work on market-leading programs. See below one of many career opportunities to join the RPO team! Job Summary: Rochester Precision Optics, LLC is seeking a Systems & Network Administrator to support and operate the company's core IT infrastructure within a regulated manufacturing environment. This role is responsible for the administration and operational stability of server, network, cloud, and enterprise infrastructure platforms supporting approximately 300 users across corporate and manufacturing operations. The Systems & Network Administrator works closely with the IT Manager to maintain a secure, reliable, and compliant infrastructure, including implementation of technical controls aligned with NIST 800-171 and CMMC 2.0 requirements. This is a hands-on role where the successful candidate will take ownership of infrastructure operations, contribute to the ongoing improvement and modernization of the organization's infrastructure platforms, and serve as an escalation resource for complex technical issues. Summary of Essential Job Duties: Infrastructure & Systems Administration Administer and maintain Windows Server environments and enterprise infrastructure systems Manage Active Directory, DNS, DHCP, Group Policy, and identity infrastructure Support virtualization platforms such as VMware or Hyper-V Provision and maintain virtual machines and server resources Monitor infrastructure performance, system capacity, and service availability Perform patch management and security updates for servers and infrastructure systems Maintain file services, storage systems, and system health monitoring Administer enterprise backup platforms and validate backup integrity through periodic recovery testing Administer enterprise software deployment platforms including PDQ Deploy and related deployment tooling Create and maintain standardized software deployment packages for enterprise applications and operating system updates Coordinate controlled rollout of software updates and application upgrades across managed systems Maintain infrastructure documentation including system configuration standards and architecture diagrams Network Infrastructure Administration Maintain & support network infrastructure including switches, firewalls, VPN, and wireless networks Configure and support VLANs, routing, and subnetting Configure and maintain firewall policies, access rules, and network security controls Maintain network authentication systems supporting secure wired and wireless access Support VoIP and network-connected infrastructure including cameras and related technologies Maintain and troubleshoot DNS, DHCP, routing, and other core network services Support structured cabling, patch panel management, and infrastructure expansion projects Maintain network diagrams, segmentation documentation, and infrastructure configuration records Microsoft 365 GCC High Administration Administer Microsoft 365 GCC High tenant services including Exchange Online, Microsoft Teams, and Entra ID Configure and maintain Conditional Access policies and secure authentication configurations Support identity lifecycle integration between on-premises Active Directory and Entra ID Provide Tier 2/3 escalation support for advanced Exchange Online and Teams issues Assist with Microsoft Purview administration including eDiscovery searches, retention policies, and litigation hold support Maintain secure messaging and collaboration configurations aligned with regulatory requirements Endpoint & Mobile Device Management Platform Administration Administer enterprise device management platforms including Microsoft Intune and Endpoint Central Configure and maintain device enrollment policies, compliance policies, and security baselines Integrate device compliance enforcement with Conditional Access authentication policies Provide Tier 3 escalation support for complex endpoint and mobile device management issues Support device security posture aligned with organizational security and compliance requirements Enterprise Infrastructure Platforms Maintain backend infrastructure supporting enterprise applications including ERP, SQL Server, and FileMaker hosting environments Support infrastructure stability for unified communications platforms such as 3CX VoIP Maintain backend infrastructure supporting physical security platforms including badge access control and video surveillance systems Maintain infrastructure supporting enterprise print services and related systems Support infrastructure used for digital signage, IoT devices, and other network-connected systems Security & Compliance Operations Implement and maintain infrastructure security controls aligned with NIST 800-171 and CMMC 2.0 requirements Partner with internal leadership and external compliance advisors on cybersecurity initiatives Maintain secure configuration baselines and infrastructure hardening standards Ensure infrastructure systems generate and forward logs to centralized monitoring platforms Support vulnerability remediation across infrastructure platforms Assist with investigation of infrastructure-level security alerts and anomalies Support audit readiness activities and collection of technical compliance evidence Collaboration & Operational Support Serve as Tier 2 / Tier 3 escalation resource for complex infrastructure and systems issues Collaborate with IT leadership on infrastructure improvements and modernization initiatives Assist with enterprise application upgrades and infrastructure lifecycle projects Provide mentorship and technical guidance to IT support staff Participate in rotating on-call coverage for infrastructure alerts and critical incidents Qualifications: Bachelor's degree in Information Technology, Computer Science, or related field preferred, or equivalent combination of education and experience. Relevant industry certifications such as Network+, Security+, Microsoft, or VMware certifications are a plus. 5+ years of experience in systems administration, infrastructure engineering, or related roles Strong knowledge of Windows Server, Active Directory, and Microsoft enterprise environments Experience managing network infrastructure including VLANs, switching, firewalls, and VPN technologies Experience supporting Microsoft 365 environments (GCC High experience preferred) Experience with virtualization platforms such as VMware or Hyper-V Experience administering enterprise endpoint management platforms (Intune, Endpoint Central, or similar) Experience supporting enterprise backup platforms and disaster recovery planning Familiarity with enterprise deployment tools and automation scripting (PowerShell preferred) Experience supporting infrastructure hosting enterprise applications or ERP systems preferred Familiarity with NIST 800-171 or CMMC security frameworks preferred You Are: Results-Oriented: Motivated, hard-working and ready to level-up; Curious: You never stop learning and have an insatiable desire to gain new skills and knowledge; Process Oriented: Well organized, demonstrating attention to detail; Analytical: Possess a"If there's a problem, I'll find a solution" attitude; Accountable: Demanding the highest quality from yourself and team members; Detail-Oriented: Have excellent time management and organizational skills; A Team Player: Reliable, collaborative, flexible with a positive 'get things done' attitude; A U.S. Person: Compliant with ITAR, EAR and other laws and regulations as defined: "U.S. citizens, lawful permanent residents ("Green Card" holders), persons granted refugee status or asylum status in the United States, or temporary residents granted amnesty." You Will Enjoy: Growth: The opportunity to learn and advance your career; Wealth: Competitive compensation package linked to your experience and performance, a 401(k) with company match; Wellness: Health, dental, vision & life insurance; Balance: 11 paid holidays, generous paid vacation and sick -time; Culture: an energetic, caring, fun, value-driven team. Work environment & Physical Demands:While performing the duties of this job, the employee is regularly required to stand, use hands & fingers, handle or feel, and reach with hands and arms. The employee frequently is required to stand, walk, stoop, kneel, crouch, talk and hear. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception . click apply for full job details
Requisition ID # 167321 Job Category: Accounting / Finance Job Level: Individual Contributor Business Unit: Electric Engineering Work Type: Hybrid Job Location: Oakland Department Overview The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E's Electric Reliability Strategy and initiatives. This team of forward-thinking individuals will be tasked with deploying technology and infrastructure and influencing the organization to achieve the company's reliability goals. The team is responsible for implementing programs required to modernize the electric grid allowing for safe, resilient and efficient operations. The team participates in a cross functional team of internal and consulting participants being tasked with leading the transition of a project from development and testing to being operational for each phase of each project. Position Summary Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Senior Manager of Reliability Analytics and is responsible for developing advanced data science models and industry-leading anomaly detection techniques to identify potential failures and enhance the reliability of the electric transmission and distribution grid. In this role, the successful candidate will be uniquely positioned at the forefront of utility industry analytics. Working as part of cross-functional teams, including data engineers, data scientists, technologists, and subject matter experts - this individual will lead the development of data science capabilities that could lead to paradigm changes in how the utility operates. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. PG&E is providing the salary range that can reasonably be expected for this position at the time of the job posting. This salary range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The decision will be made on a case-by-case basis related to these factors.? This job is also eligible to participate in PG&E's discretionary incentive compensation programs. Bay Area - $140,000 - $207,900 And/or California - $133,000 - $198,000 Job Responsibilities Lead research and development of state-of-the-art methodologies to detect potential system failures and improve the reliability of the electric transmission and distribution grid. Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible models, Serves as the technical lead for the development of predictive/reliability analytics models. Develops python codes for data processing and data science model developments (e.g., ML/AI models, advanced statistical models) Documents datasets, modeling processes, and result to ensure transparency, reproducibility, and defensibility. Contribute to the development of data science strategies aligned with system performance, reliability, and resiliency team goals. Communicate technical concepts and model results to internal/external stakeholders. Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis. Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value. Act as peer reviewer of complex models Qualifications Minimum: Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field. Experience in Data Science, 6 years or no experience, if possess Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field. Desired: Doctorate degree with 5+ years or Master's degree with 8+ years in Electrical Engineering, Mechanical Engineering, Operations Research, Transportation Engineering, Physics, Applied Sciences, Statistics, or job-related discipline or equivalent experience Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience Active participation in professional communities related to utility reliability, such as IEEE Power and Energy Society (PES), is a plus. Strong foundation in statistics, machine learning (ML), and artificial intelligence (AI). Hands-on and theoretical experience in developing and deploying data science and ML models using Python. Proven ability to formulate and solve unstructured, complex problems using data-driven approaches. Proficiency in working with large datasets, including structured and unstructured data from diverse sources. Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies
03/04/2026
Full time
Requisition ID # 167321 Job Category: Accounting / Finance Job Level: Individual Contributor Business Unit: Electric Engineering Work Type: Hybrid Job Location: Oakland Department Overview The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E's Electric Reliability Strategy and initiatives. This team of forward-thinking individuals will be tasked with deploying technology and infrastructure and influencing the organization to achieve the company's reliability goals. The team is responsible for implementing programs required to modernize the electric grid allowing for safe, resilient and efficient operations. The team participates in a cross functional team of internal and consulting participants being tasked with leading the transition of a project from development and testing to being operational for each phase of each project. Position Summary Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Senior Manager of Reliability Analytics and is responsible for developing advanced data science models and industry-leading anomaly detection techniques to identify potential failures and enhance the reliability of the electric transmission and distribution grid. In this role, the successful candidate will be uniquely positioned at the forefront of utility industry analytics. Working as part of cross-functional teams, including data engineers, data scientists, technologists, and subject matter experts - this individual will lead the development of data science capabilities that could lead to paradigm changes in how the utility operates. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. PG&E is providing the salary range that can reasonably be expected for this position at the time of the job posting. This salary range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The decision will be made on a case-by-case basis related to these factors.? This job is also eligible to participate in PG&E's discretionary incentive compensation programs. Bay Area - $140,000 - $207,900 And/or California - $133,000 - $198,000 Job Responsibilities Lead research and development of state-of-the-art methodologies to detect potential system failures and improve the reliability of the electric transmission and distribution grid. Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible models, Serves as the technical lead for the development of predictive/reliability analytics models. Develops python codes for data processing and data science model developments (e.g., ML/AI models, advanced statistical models) Documents datasets, modeling processes, and result to ensure transparency, reproducibility, and defensibility. Contribute to the development of data science strategies aligned with system performance, reliability, and resiliency team goals. Communicate technical concepts and model results to internal/external stakeholders. Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis. Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value. Act as peer reviewer of complex models Qualifications Minimum: Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field. Experience in Data Science, 6 years or no experience, if possess Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field. Desired: Doctorate degree with 5+ years or Master's degree with 8+ years in Electrical Engineering, Mechanical Engineering, Operations Research, Transportation Engineering, Physics, Applied Sciences, Statistics, or job-related discipline or equivalent experience Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience Active participation in professional communities related to utility reliability, such as IEEE Power and Energy Society (PES), is a plus. Strong foundation in statistics, machine learning (ML), and artificial intelligence (AI). Hands-on and theoretical experience in developing and deploying data science and ML models using Python. Proven ability to formulate and solve unstructured, complex problems using data-driven approaches. Proficiency in working with large datasets, including structured and unstructured data from diverse sources. Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Imagine shaping the future of connectivity by designing enterprise architectures that drive groundbreaking edge innovations. As an Edge Innovation Engineer at Spectrum, you'll guide the transformation of next-generation platforms, collaborating to deliver seamless experiences across mobile, internet, live TV, and advanced WiFi. Your expertise will define the technology roadmap, ensuring our customers benefit from reliable and cutting-edge products that set new standards in the industry. Join us to make a lasting impact on how millions connect and interact. How You'll Make an Impact Lead and set the architectural direction for enterprise-wide edge innovation programs Provide expert technical guidance to development and operational teams for project delivery Oversee architect teams in formulating and reviewing new software and hardware platform designs Design, support, and maintain Spectrum's application systems and infrastructure within assigned technology domains Develop and manage architectural frameworks for system development, maintenance, and enhancements Collaborate closely with developers, engineers, and business stakeholders to align roadmaps and integrate systems Define technology strategy, standards, and practices while evaluating interoperability, usability, scalability, and security across platforms Working Conditions Office environment with the option to work in a hybrid model combining in-office and remote days Full-time schedule What You'll Bring to Spectrum Required Qualifications Education Bachelor's degree in Information Technology, Computer Science, MIS or equivalent combination of education and experience Experience 10+ years of cumulative experience in system installation, configuration, operations, software development, or database development Skills Advanced expertise in software development, network engineering, and delivering complex end-to-end solutions Deep knowledge of cloud computing, containerization, mobile applications, big data, and machine learning Proficiency in GPU technology including NVIDIA CUDA, cuDNN/TensorRT for AI/ML, and graphics APIs such as OpenCL, Vulkan, OpenGL, and Direct3D Experience with Multi-Instance GPU partitioning and virtual GPU orchestration for edge and cloud environments Hands-on skills with Kubernetes design, multi-cluster operations, container runtimes, and GPU scheduling using device plugins; infrastructure automation with Terraform and Ansible Familiarity with hierarchical orchestration of edge devices, distributed workloads, and policy-driven placement across network zones Experience with BlueField-3 DPUs and integrating DPUs with Kubernetes/CNI and service meshes for networking and security Expertise in distributed systems including databases, storage, streaming, observability, and high-throughput data planes supporting AI workloads Knowledge of VMware vSphere/NSX for virtualized GPU workloads and multi-cloud integrations Ability to read, write, speak, and understand English Strong change management, planning, prioritization, and independent project leadership skills Effective decision-making and problem-solving under pressure Proven relationship-building for influencing business roadmaps and stakeholder engagement Preferred Qualifications Education Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent advanced professional certifications Industry certifications such as CCIE, AWS Solutions Architect Professional, Kubernetes CKA/CKAD or equivalent cloud/network architecture credentials Experience Demonstrated leadership of cross-functional teams on large-scale, enterprise-wide technology projects Experience designing solutions using AI/ML pipelines, edge computing, and low-latency architectures such as L4S and 5G MEC Hands-on expertise with GPU broker/virtualization and edge GPUaaS models supporting segmented and high-throughput traffic Skills Experience contributing to open-source projects or standards bodies (IETF, IEEE, Broadband Forum, CNCF) Hands-on experience architecting solutions for AWS, Azure, GCP, and private cloud environments emphasizing portability and interoperability LI-RC1 IAT801 9 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-03-:00 PM (UTC) and will be extended if necessary. The base pay for this position generally is between $138,800.00 and $246,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
03/04/2026
Full time
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Imagine shaping the future of connectivity by designing enterprise architectures that drive groundbreaking edge innovations. As an Edge Innovation Engineer at Spectrum, you'll guide the transformation of next-generation platforms, collaborating to deliver seamless experiences across mobile, internet, live TV, and advanced WiFi. Your expertise will define the technology roadmap, ensuring our customers benefit from reliable and cutting-edge products that set new standards in the industry. Join us to make a lasting impact on how millions connect and interact. How You'll Make an Impact Lead and set the architectural direction for enterprise-wide edge innovation programs Provide expert technical guidance to development and operational teams for project delivery Oversee architect teams in formulating and reviewing new software and hardware platform designs Design, support, and maintain Spectrum's application systems and infrastructure within assigned technology domains Develop and manage architectural frameworks for system development, maintenance, and enhancements Collaborate closely with developers, engineers, and business stakeholders to align roadmaps and integrate systems Define technology strategy, standards, and practices while evaluating interoperability, usability, scalability, and security across platforms Working Conditions Office environment with the option to work in a hybrid model combining in-office and remote days Full-time schedule What You'll Bring to Spectrum Required Qualifications Education Bachelor's degree in Information Technology, Computer Science, MIS or equivalent combination of education and experience Experience 10+ years of cumulative experience in system installation, configuration, operations, software development, or database development Skills Advanced expertise in software development, network engineering, and delivering complex end-to-end solutions Deep knowledge of cloud computing, containerization, mobile applications, big data, and machine learning Proficiency in GPU technology including NVIDIA CUDA, cuDNN/TensorRT for AI/ML, and graphics APIs such as OpenCL, Vulkan, OpenGL, and Direct3D Experience with Multi-Instance GPU partitioning and virtual GPU orchestration for edge and cloud environments Hands-on skills with Kubernetes design, multi-cluster operations, container runtimes, and GPU scheduling using device plugins; infrastructure automation with Terraform and Ansible Familiarity with hierarchical orchestration of edge devices, distributed workloads, and policy-driven placement across network zones Experience with BlueField-3 DPUs and integrating DPUs with Kubernetes/CNI and service meshes for networking and security Expertise in distributed systems including databases, storage, streaming, observability, and high-throughput data planes supporting AI workloads Knowledge of VMware vSphere/NSX for virtualized GPU workloads and multi-cloud integrations Ability to read, write, speak, and understand English Strong change management, planning, prioritization, and independent project leadership skills Effective decision-making and problem-solving under pressure Proven relationship-building for influencing business roadmaps and stakeholder engagement Preferred Qualifications Education Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent advanced professional certifications Industry certifications such as CCIE, AWS Solutions Architect Professional, Kubernetes CKA/CKAD or equivalent cloud/network architecture credentials Experience Demonstrated leadership of cross-functional teams on large-scale, enterprise-wide technology projects Experience designing solutions using AI/ML pipelines, edge computing, and low-latency architectures such as L4S and 5G MEC Hands-on expertise with GPU broker/virtualization and edge GPUaaS models supporting segmented and high-throughput traffic Skills Experience contributing to open-source projects or standards bodies (IETF, IEEE, Broadband Forum, CNCF) Hands-on experience architecting solutions for AWS, Azure, GCP, and private cloud environments emphasizing portability and interoperability LI-RC1 IAT801 9 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-03-:00 PM (UTC) and will be extended if necessary. The base pay for this position generally is between $138,800.00 and $246,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Job Family Management Consulting Travel Required None Clearance Required Active Secret What You Will Do Guidehouse has an exciting opportunity in our Defense & Security Segment to provide team management in relation to workloads, stakeholder expectations, and application development oversight for a diplomacy client. Our consultants help clients maximize the value of their data and automate business processes by leveraging a custom application hosted on ServiceNow. Our team works with clients to translate business process requirements into technical solutions for development, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence. Our services enable our clients to define their information strategy, enable mission-critical insights and data-driven decision-making, reduce cost and complexity, increase trust, and improve operational effectiveness. This Consultant will support a diplomacy client in applying advanced analytic and automation technologies to streamline and automate processes. Key Responsibilities: Advise the client on application development best practices and lead prioritization discussions. Develop and maintain program strategic framework and manage feedback for continuous improvement. Assess complex processes and identify opportunities for the use of advanced analytics and process automation. Engage with client organizations to identify performance metrics for translation into a reporting system. Implement analytic and automation process improvements and monitor their success. Engage with stakeholders on the results of data analysis and guide through next steps. Participate in daily Scrum meetings to provide status updates on assigned tasks. Work with clients to define and track key performance indicators (KPIs) and performance metrics. Develop dashboards and reports to enable data-driven decision-making at all levels of the client's organization. Manage onboarding and update activities for client pipeline. Develop documentation and training programs (job aids, user guides, live demonstrations) to train client personnel on developed analytic and automation solutions and encourage adoption. Continuously solicit and respond to feedback to ensure that developed solutions address client needs. Develop data processing and validation scripts to prepare data for downstream reporting, validate data quality, and reconcile identified issues What You Will Need An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Bachelor's Degree FIVE (5) or more years of relevant experience in data science, analytics, process automation, business analysis Report to client site in Washington, DC, as instructed by stakeholder Expert skills in stakeholder management. Proficiency in managing application development backlog and working with product owner on defining and prioritizing requirements. Strong communication/presentation skills and ability to explain technical topics to non-technical audiences. Ability to design and deliver solutions independently and work collaboratively as part of a team. Strong consulting skills: identifying and addressing client needs, building relationships, and driving initiatives forward. Working knowledge of Tableau dashboards. Working knowledge of SharePoint site management. What Would Be Nice To Have Knowledge/familiarity with IT mission in the Federal space Experience in managing ServiceNow custom application development Experience with JIRA/Atlassian tools Experience with Business Process Improvement or advising customers on how to optimize process through data modernization The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
03/04/2026
Full time
Job Family Management Consulting Travel Required None Clearance Required Active Secret What You Will Do Guidehouse has an exciting opportunity in our Defense & Security Segment to provide team management in relation to workloads, stakeholder expectations, and application development oversight for a diplomacy client. Our consultants help clients maximize the value of their data and automate business processes by leveraging a custom application hosted on ServiceNow. Our team works with clients to translate business process requirements into technical solutions for development, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence. Our services enable our clients to define their information strategy, enable mission-critical insights and data-driven decision-making, reduce cost and complexity, increase trust, and improve operational effectiveness. This Consultant will support a diplomacy client in applying advanced analytic and automation technologies to streamline and automate processes. Key Responsibilities: Advise the client on application development best practices and lead prioritization discussions. Develop and maintain program strategic framework and manage feedback for continuous improvement. Assess complex processes and identify opportunities for the use of advanced analytics and process automation. Engage with client organizations to identify performance metrics for translation into a reporting system. Implement analytic and automation process improvements and monitor their success. Engage with stakeholders on the results of data analysis and guide through next steps. Participate in daily Scrum meetings to provide status updates on assigned tasks. Work with clients to define and track key performance indicators (KPIs) and performance metrics. Develop dashboards and reports to enable data-driven decision-making at all levels of the client's organization. Manage onboarding and update activities for client pipeline. Develop documentation and training programs (job aids, user guides, live demonstrations) to train client personnel on developed analytic and automation solutions and encourage adoption. Continuously solicit and respond to feedback to ensure that developed solutions address client needs. Develop data processing and validation scripts to prepare data for downstream reporting, validate data quality, and reconcile identified issues What You Will Need An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Bachelor's Degree FIVE (5) or more years of relevant experience in data science, analytics, process automation, business analysis Report to client site in Washington, DC, as instructed by stakeholder Expert skills in stakeholder management. Proficiency in managing application development backlog and working with product owner on defining and prioritizing requirements. Strong communication/presentation skills and ability to explain technical topics to non-technical audiences. Ability to design and deliver solutions independently and work collaboratively as part of a team. Strong consulting skills: identifying and addressing client needs, building relationships, and driving initiatives forward. Working knowledge of Tableau dashboards. Working knowledge of SharePoint site management. What Would Be Nice To Have Knowledge/familiarity with IT mission in the Federal space Experience in managing ServiceNow custom application development Experience with JIRA/Atlassian tools Experience with Business Process Improvement or advising customers on how to optimize process through data modernization The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Growing manufacturing company adding to their Engineering team Relocation available This Jobot Job is hosted by: Brandon Fobert Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $100,000 - $120,000 per year A bit about us: Growing manufacturing organization looking to add talented individuals! Why join us? Full Benefits consist of Medical, vision, dental, PTO and Holidays. Job Details Job Details: We are seeking a highly skilled and experienced Electrical Engineer to join our dynamic team in the manufacturing industry. This is a permanent position that offers an exciting opportunity to be part of a diverse team of professionals who are passionate about innovative technologies and continuous improvement. The successful candidate will be responsible for designing, developing, and testing electrical equipment, including control systems for industrial machinery and equipment. This role requires a deep understanding of electrical engineering principles, a strong commitment to safety, and a proven track record in problem-solving. Responsibilities: 1. Design and develop electrical equipment and systems for manufacturing processes, ensuring they meet all safety and performance standards. 2. Implement and maintain both hardware and software components of our electrical systems. 3. Perform preventative maintenance on electrical systems and equipment to ensure optimal performance and avoid potential breakdowns. 4. Analyze and interpret specifications, blueprints, and provide technical support to the manufacturing team. 5. Install, modify, and start up new and existing electrical systems and equipment. 6. Ensure compliance with NEC, OSHA, and other relevant electrical codes and safety regulations. 7. Collaborate with cross-functional teams to improve existing systems, processes, and equipment for better efficiency and productivity. 8. Troubleshoot and resolve electrical issues promptly and effectively, minimizing downtime. 9. Provide training and guidance to junior engineers and other team members on electrical systems and safety procedures. Qualifications: 1. Bachelor's Degree in Electrical Engineering or Electrical Engineering Technology. 2. Minimum of 5 years of experience as an Electrical Engineer in the manufacturing industry. 3. Proficient in low and medium voltage systems. 4. Extensive knowledge of NEC, OSHA, and other relevant electrical codes and safety regulations. 5. Experience in control system design and implementation. 6. Proven ability to install, modify, and start up electrical systems and equipment. 7. Strong problem-solving skills and the ability to work under pressure. 8. Excellent communication and interpersonal skills. 9. Proficient in using computer software and applications related to electrical engineering. 10. Commitment to continuous learning and staying updated with the latest industry trends and advancements. We are looking for a candidate who is not just looking for a job, but a career where they can make a significant impact. If you are passionate about electrical engineering and want to be part of a team that values innovation, quality, and collaboration, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/04/2026
Full time
Growing manufacturing company adding to their Engineering team Relocation available This Jobot Job is hosted by: Brandon Fobert Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $100,000 - $120,000 per year A bit about us: Growing manufacturing organization looking to add talented individuals! Why join us? Full Benefits consist of Medical, vision, dental, PTO and Holidays. Job Details Job Details: We are seeking a highly skilled and experienced Electrical Engineer to join our dynamic team in the manufacturing industry. This is a permanent position that offers an exciting opportunity to be part of a diverse team of professionals who are passionate about innovative technologies and continuous improvement. The successful candidate will be responsible for designing, developing, and testing electrical equipment, including control systems for industrial machinery and equipment. This role requires a deep understanding of electrical engineering principles, a strong commitment to safety, and a proven track record in problem-solving. Responsibilities: 1. Design and develop electrical equipment and systems for manufacturing processes, ensuring they meet all safety and performance standards. 2. Implement and maintain both hardware and software components of our electrical systems. 3. Perform preventative maintenance on electrical systems and equipment to ensure optimal performance and avoid potential breakdowns. 4. Analyze and interpret specifications, blueprints, and provide technical support to the manufacturing team. 5. Install, modify, and start up new and existing electrical systems and equipment. 6. Ensure compliance with NEC, OSHA, and other relevant electrical codes and safety regulations. 7. Collaborate with cross-functional teams to improve existing systems, processes, and equipment for better efficiency and productivity. 8. Troubleshoot and resolve electrical issues promptly and effectively, minimizing downtime. 9. Provide training and guidance to junior engineers and other team members on electrical systems and safety procedures. Qualifications: 1. Bachelor's Degree in Electrical Engineering or Electrical Engineering Technology. 2. Minimum of 5 years of experience as an Electrical Engineer in the manufacturing industry. 3. Proficient in low and medium voltage systems. 4. Extensive knowledge of NEC, OSHA, and other relevant electrical codes and safety regulations. 5. Experience in control system design and implementation. 6. Proven ability to install, modify, and start up electrical systems and equipment. 7. Strong problem-solving skills and the ability to work under pressure. 8. Excellent communication and interpersonal skills. 9. Proficient in using computer software and applications related to electrical engineering. 10. Commitment to continuous learning and staying updated with the latest industry trends and advancements. We are looking for a candidate who is not just looking for a job, but a career where they can make a significant impact. If you are passionate about electrical engineering and want to be part of a team that values innovation, quality, and collaboration, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
500+ Leetcode Problems! -Still No Offers? Let's Get You Hired with a plan which actually works. You've done a ton of Leetcode. You've racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand. On paper, you're everything a tech company wants. However tech stacks and requirement change every day. Also, tech clients want in depth Tech stack knowledge and the school projects don't make the cut. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit's JOPP focuses on closing the gap between your tech skills and what employers want now. Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S. citizens are encouraged to apply. Check the links below: Please check the below links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: 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 Candidates on F1/OPT needing a job for STEM extension or H-1B filing 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. Top tech companies are flooded with smart grads. What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room-or a Zoom. That's what we teach. please check the below links Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT Technical Skills or Experience? Which one is important to get a Job? SynergisticIT Backend vs. Full Stack Development: Job Prospects SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT The Market's Changed-Have You?
03/04/2026
Full time
500+ Leetcode Problems! -Still No Offers? Let's Get You Hired with a plan which actually works. You've done a ton of Leetcode. You've racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand. On paper, you're everything a tech company wants. However tech stacks and requirement change every day. Also, tech clients want in depth Tech stack knowledge and the school projects don't make the cut. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit's JOPP focuses on closing the gap between your tech skills and what employers want now. Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S. citizens are encouraged to apply. Check the links below: Please check the below links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: 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 Candidates on F1/OPT needing a job for STEM extension or H-1B filing 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. Top tech companies are flooded with smart grads. What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room-or a Zoom. That's what we teach. please check the below links Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT Technical Skills or Experience? Which one is important to get a Job? SynergisticIT Backend vs. Full Stack Development: Job Prospects SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT The Market's Changed-Have You?
"Failing Tech Interviews? Turn 'Frustration' Into an Offer." Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable-because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT's Job Placement Program (JOPP) is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010 , SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers-companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte , and many more-with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus of JOPP is not "finish a course." The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing bootcamps or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why") Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you train-like a sport. You don't just watch videos; you practice real drills. The program emphasizes real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack , software programming , Python/Java development , DevOps , data analyst , data engineer , data scientist , and ML/AI engineer . In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI -because companies hire teams, not single-skill candidates. Why the placement model matters for interview success Many bootcamps train and then stop. When you fail interviews, you're left alone to "figure it out" with no feedback loop. JOPP is structured around a loop: learn practice get feedback fix reattempt. That's what converts "almost" into "offer." SynergisticIT also notes that a meaningful portion of JOPP attendees-often around 30% -have previously tried other bootcamps, university programs, or platforms like Udemy/Coursera and still didn't land jobs. The reason: most programs focus on learning content, not interview readiness + job placement execution . Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): If you're already getting interviews, you're closer than you think. Now it's time to train like you mean it- and turn interviews into offers. 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? How OPT Students Can Land Tech Jobs - SynergisticIT
03/04/2026
Full time
"Failing Tech Interviews? Turn 'Frustration' Into an Offer." Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable-because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT's Job Placement Program (JOPP) is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010 , SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers-companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte , and many more-with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus of JOPP is not "finish a course." The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing bootcamps or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why") Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you train-like a sport. You don't just watch videos; you practice real drills. The program emphasizes real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack , software programming , Python/Java development , DevOps , data analyst , data engineer , data scientist , and ML/AI engineer . In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI -because companies hire teams, not single-skill candidates. Why the placement model matters for interview success Many bootcamps train and then stop. When you fail interviews, you're left alone to "figure it out" with no feedback loop. JOPP is structured around a loop: learn practice get feedback fix reattempt. That's what converts "almost" into "offer." SynergisticIT also notes that a meaningful portion of JOPP attendees-often around 30% -have previously tried other bootcamps, university programs, or platforms like Udemy/Coursera and still didn't land jobs. The reason: most programs focus on learning content, not interview readiness + job placement execution . Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): If you're already getting interviews, you're closer than you think. Now it's time to train like you mean it- and turn interviews into offers. 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? How OPT Students Can Land Tech Jobs - SynergisticIT
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $145,000 - $185,000 per year A bit about us: Our client was founded with the intention of delivering on the promise of what Internet-of-Things (IoT) was supposed to be. They're building a global Bluetooth network dedicated to machine-to-machine connectivity. Our client is an early-stage, venture-backed startup supported by some of the best investors in the world. Why join us? COMPENSATION & BENEFITS Salary: $145,000.00 - $185,000.00 (commensurate with experience) Comprehensive Benefits - Health, Dental, Vision, & HSA options Unlimited PTO Commuter Benefits (if working from HQ) Learning & Development Allowance Health & Wellness Stipend Sabbatical Program - Recharge and explore new ideas Cutting-Edge Space Tech - Work on state-of-the-art satellite system Job Details As a Senior Hardware Test Engineer, you'll play a critical role in ensuring the reliability, performance, and longevity of our satellite hardware. You'll own the development and execution of comprehensive test strategies that validate our wireless payloads, uncover weaknesses, and optimize system durability. Your work will span the full lifecycle - from design validation to flight readiness - and will be instrumental in proving that our payloads can thrive in the harshest environments space has to offer, including radiation, thermal cycling, and mechanical stress. In this role, you'll: Build and execute rigorous test protocols for RF and mixed-signal hardware. Analyze test data to identify failure modes, drive root-cause investigations, and feed improvements back into design. Develop methods to optimize system resilience under space conditions. Lead continuous improvement in test methodology, automation, and best practices. Provide technical mentorship and help raise the bar for test engineering at Hubble. Collaborate closely with cross-functional teams - hardware, software, and mechanical - to ensure reliability from initial design through manufacturing and in-orbit operation. This is a full-time position based in Seattle, WA. AN IDEAL CANDIDATE HAS A Sense of Urgency: Lead projects from concept to reality, rapidly and effectively First Principles Engineering: Have a strong understanding of the whys behind the whats; have the ability to extrapolate from first principles to complex system design High Learning Agility: Love to learn; have a grounded approach to recognizing your weaknesses and take the initiative to brush up on and sharpen your engineering foundations to better collaborate with your teammates with different backgrounds System-Level Design and Analysis: Understand the requirements flow down process and be able to quickly iterate on evolving requirements Excellent Communication Skills: Effectively convey ideas and communicate technical topics with engineering, build staff, and operations; run self-directed design reviews and participate in reviews of parallel systems Anticipation of Needs: Identify problems, think creatively, and rapidly produce reliable and cost-effective solutions to meet the ever growing and changing needs of an early-stage company BASIC QUALIFICATIONS Bachelor's Degree in Electrical engineering, Aerospace engineering, Computer science or a related field. 7+ years of experience in hardware validation, test engineering, or RF systems testing. Experience in design, testing, and debugging of RF PCBAs coupled with a thorough understanding of electronics reliability and failure mechanisms. Experience with test equipment (such as oscilloscope, VNA, Spectrum Analyzer, and Signal Generator) and procedures for analysis, verification and validation of RF products. Strong expertise in programming languages (Python, C/C++) required for data analysis and test automation. Demonstrated ability to conduct root cause failure analysis and implement corrective actions with an emphasis on RF systems. Thorough understanding of metrology, sources of measurement error, and uncertainty analysis. Experience with environmental testing such as thermal, vibration, and TVAC. Demonstrated ability to work in a highly cross-functional role Ability to work independently. Strong interpersonal, verbal and written communication skills is a must. Ability and willingness to thrive in a fast-paced, rapidly changing work environment. Passion for creating state-of-the-art hardware systems STRONGLY DESIRED 5+ years of experience in reliability engineering, testing, or quality assurance, preferably within the aerospace or satellite industry. Experience in high volume manufacturing, assembling and testing of electronic components. Experience in analyzing impact of radiation on electronic components and strategies to mitigate impact of radiation on electronic systems. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/04/2026
Full time
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $145,000 - $185,000 per year A bit about us: Our client was founded with the intention of delivering on the promise of what Internet-of-Things (IoT) was supposed to be. They're building a global Bluetooth network dedicated to machine-to-machine connectivity. Our client is an early-stage, venture-backed startup supported by some of the best investors in the world. Why join us? COMPENSATION & BENEFITS Salary: $145,000.00 - $185,000.00 (commensurate with experience) Comprehensive Benefits - Health, Dental, Vision, & HSA options Unlimited PTO Commuter Benefits (if working from HQ) Learning & Development Allowance Health & Wellness Stipend Sabbatical Program - Recharge and explore new ideas Cutting-Edge Space Tech - Work on state-of-the-art satellite system Job Details As a Senior Hardware Test Engineer, you'll play a critical role in ensuring the reliability, performance, and longevity of our satellite hardware. You'll own the development and execution of comprehensive test strategies that validate our wireless payloads, uncover weaknesses, and optimize system durability. Your work will span the full lifecycle - from design validation to flight readiness - and will be instrumental in proving that our payloads can thrive in the harshest environments space has to offer, including radiation, thermal cycling, and mechanical stress. In this role, you'll: Build and execute rigorous test protocols for RF and mixed-signal hardware. Analyze test data to identify failure modes, drive root-cause investigations, and feed improvements back into design. Develop methods to optimize system resilience under space conditions. Lead continuous improvement in test methodology, automation, and best practices. Provide technical mentorship and help raise the bar for test engineering at Hubble. Collaborate closely with cross-functional teams - hardware, software, and mechanical - to ensure reliability from initial design through manufacturing and in-orbit operation. This is a full-time position based in Seattle, WA. AN IDEAL CANDIDATE HAS A Sense of Urgency: Lead projects from concept to reality, rapidly and effectively First Principles Engineering: Have a strong understanding of the whys behind the whats; have the ability to extrapolate from first principles to complex system design High Learning Agility: Love to learn; have a grounded approach to recognizing your weaknesses and take the initiative to brush up on and sharpen your engineering foundations to better collaborate with your teammates with different backgrounds System-Level Design and Analysis: Understand the requirements flow down process and be able to quickly iterate on evolving requirements Excellent Communication Skills: Effectively convey ideas and communicate technical topics with engineering, build staff, and operations; run self-directed design reviews and participate in reviews of parallel systems Anticipation of Needs: Identify problems, think creatively, and rapidly produce reliable and cost-effective solutions to meet the ever growing and changing needs of an early-stage company BASIC QUALIFICATIONS Bachelor's Degree in Electrical engineering, Aerospace engineering, Computer science or a related field. 7+ years of experience in hardware validation, test engineering, or RF systems testing. Experience in design, testing, and debugging of RF PCBAs coupled with a thorough understanding of electronics reliability and failure mechanisms. Experience with test equipment (such as oscilloscope, VNA, Spectrum Analyzer, and Signal Generator) and procedures for analysis, verification and validation of RF products. Strong expertise in programming languages (Python, C/C++) required for data analysis and test automation. Demonstrated ability to conduct root cause failure analysis and implement corrective actions with an emphasis on RF systems. Thorough understanding of metrology, sources of measurement error, and uncertainty analysis. Experience with environmental testing such as thermal, vibration, and TVAC. Demonstrated ability to work in a highly cross-functional role Ability to work independently. Strong interpersonal, verbal and written communication skills is a must. Ability and willingness to thrive in a fast-paced, rapidly changing work environment. Passion for creating state-of-the-art hardware systems STRONGLY DESIRED 5+ years of experience in reliability engineering, testing, or quality assurance, preferably within the aerospace or satellite industry. Experience in high volume manufacturing, assembling and testing of electronic components. Experience in analyzing impact of radiation on electronic components and strategies to mitigate impact of radiation on electronic systems. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services. This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $140,000 - $180,000 per year A bit about us: We're transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We're not just bolting AI onto the side. It's becoming core to how our platform works. We're looking for a senior machine learning engineer to take the lead on this effort. You'll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn't an R&D team running experiments - it's about delivering intelligent automation, right now. Why join us? 100% remote based in the US Help shape the AI transformation of public sector services Lead initiatives that ship real impact, not just prototypes Greenfield development on a proven, profitable platform Comprehensive Health, Vision, Dental coverage for individuals and families Job Details You'll design and build our machine learning infrastructure - starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops. You'll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it's a real opportunity to push AI into production at scale. What you'll do Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search Design prompt strategies and agents to translate parsed PDF data into form component schemas Fine-tune LLMs for structured output generation with low-latency performance in mind Lead the development of an RLHF loop that incorporates builder UI feedback and audit data Help architect systems that blend traditional APIs and probabilistic inference reliably Work alongside full-stack and platform engineers to get it all running in production Stay plugged into the latest model capabilities, and make smart calls on what to adopt Tech you'll use Azure AI Studio, Azure OpenAI, GPT-4o Python (for agents, functions, orchestration), .NET 8 (for integration layers) Azure AI Search, CosmosDB, MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD Extend.ai for structured PDF parsing What we're looking for 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering Strong Python skills and familiarity with production-grade ML pipelines Experience designing and tuning RAG workflows with hybrid search Familiarity with RLHF and fine-tuning on structured JSON output Solid grasp of system-level thinking-how to bring ML into product environments cleanly Nice to have: .NET understanding, especially for integration and orchestration layers What success looks like in 6 months You've shipped a working vector search + RAG pipeline integrated into our form builder You've scoped and kicked off our first LLM fine-tuning cycle We're collecting human feedback to improve model accuracy You've helped define the roadmap for AI integrations across the platform Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/04/2026
Full time
New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services. This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $140,000 - $180,000 per year A bit about us: We're transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We're not just bolting AI onto the side. It's becoming core to how our platform works. We're looking for a senior machine learning engineer to take the lead on this effort. You'll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn't an R&D team running experiments - it's about delivering intelligent automation, right now. Why join us? 100% remote based in the US Help shape the AI transformation of public sector services Lead initiatives that ship real impact, not just prototypes Greenfield development on a proven, profitable platform Comprehensive Health, Vision, Dental coverage for individuals and families Job Details You'll design and build our machine learning infrastructure - starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops. You'll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it's a real opportunity to push AI into production at scale. What you'll do Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search Design prompt strategies and agents to translate parsed PDF data into form component schemas Fine-tune LLMs for structured output generation with low-latency performance in mind Lead the development of an RLHF loop that incorporates builder UI feedback and audit data Help architect systems that blend traditional APIs and probabilistic inference reliably Work alongside full-stack and platform engineers to get it all running in production Stay plugged into the latest model capabilities, and make smart calls on what to adopt Tech you'll use Azure AI Studio, Azure OpenAI, GPT-4o Python (for agents, functions, orchestration), .NET 8 (for integration layers) Azure AI Search, CosmosDB, MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD Extend.ai for structured PDF parsing What we're looking for 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering Strong Python skills and familiarity with production-grade ML pipelines Experience designing and tuning RAG workflows with hybrid search Familiarity with RLHF and fine-tuning on structured JSON output Solid grasp of system-level thinking-how to bring ML into product environments cleanly Nice to have: .NET understanding, especially for integration and orchestration layers What success looks like in 6 months You've shipped a working vector search + RAG pipeline integrated into our form builder You've scoped and kicked off our first LLM fine-tuning cycle We're collecting human feedback to improve model accuracy You've helped define the roadmap for AI integrations across the platform Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/04/2026
Full time
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Ensure the robustness, scalability, and enterprise-level security of solutions. Collaborate with the data science team to transform prototypes into new products, services, and features. Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation. Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data. Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices. Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus. Minimum of 6 years of experience as a Machine Learning Engineer or similar role. Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting. Proven experience in designing and implementing machine learning solutions at scale on AWS. Solid experience in software development with a focus on quality, performance, and scalability. Proven ability to design and implement robust data pipelines. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Strong problem-solving skills, attention to detail, and ability to think creatively. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Strong passion for learning and adapting to new technologies. AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Seed stage SaaS startup seeking local Swiss army knife engineer to take MVP to market adding agentic AI features This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $120,000 - $150,000 per year A bit about us: Enterprise technology sales cycles are often long and drawn out, with many stakeholders involved, differing incentives and priorities, and communication channels. This startup thinks the deal should be treated like a project and managed leveraging all the data from all the places to improve efficiency and observability. Every text, document, profile, call, email, slack message, note, etc. should be used to improve, update, and adapt the project in harmony and this product aims to cut the fat and automate the fusion. Why join us? Join the founding team of successful engineer-entrepreneurs significant equity negotiable base salary Job Details Job Details: We are seeking a dedicated and passionate Senior Software Engineer specializing in Agentic AI to join our early stage SaaS startup. The successful candidate will play a pivotal role in developing and enhancing our innovative AI solutions; leveraging RAG, MCP, vector databases, LLMs, etc. This is a permanent, full-time position. You will be part of a collaborative team that is driving the future of technology services, pushing boundaries, and delivering cutting-edge solutions for our diverse clientele. Currently stack is TypeScript, React, Node, PostgreSQL, AWS, pgvector, Delta Lake, ClickHouse, Terraform. Looking into Pinecone, Weaviate, Python Responsibilities: Design, develop, and implement AI systems and solutions, focusing on Agentic AI principles. Utilize Vector Database expertise to manage and optimize data handling processes. Collaborate with cross-functional teams to understand requirements and develop AI solutions accordingly. Drive continuous improvement initiatives, enhancing system performance, efficiency, and scalability. Troubleshoot complex software issues, implementing robust and lasting solutions. Stay updated with the latest industry trends and advancements in AI and machine learning. Mentor junior engineers, fostering a collaborative and innovative team environment. Ensure adherence to best coding practices, maintaining code quality and system security. Participate in all phases of software development life cycle, including analysis, design, testing, and deployment. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree is preferred. Minimum of 5 years of experience in software development, with a focus on AI and machine learning. Proven experience with Vector Database is essential. Strong knowledge of AI principles, machine learning algorithms, and data structures. Proficiency in programming languages such as TypeScript, Python Excellent problem-solving skills, with the ability to troubleshoot complex software issues. Strong understanding of software development methodologies and life cycles. Excellent communication skills, with the ability to explain complex concepts to non-technical team members. Demonstrated ability to work effectively in a team environment, collaborating with diverse teams. Proven ability to manage multiple projects simultaneously, meeting deadlines and quality standards. Strong desire to learn, grow, and stay updated with the latest industry trends and advancements. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/04/2026
Full time
Seed stage SaaS startup seeking local Swiss army knife engineer to take MVP to market adding agentic AI features This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $120,000 - $150,000 per year A bit about us: Enterprise technology sales cycles are often long and drawn out, with many stakeholders involved, differing incentives and priorities, and communication channels. This startup thinks the deal should be treated like a project and managed leveraging all the data from all the places to improve efficiency and observability. Every text, document, profile, call, email, slack message, note, etc. should be used to improve, update, and adapt the project in harmony and this product aims to cut the fat and automate the fusion. Why join us? Join the founding team of successful engineer-entrepreneurs significant equity negotiable base salary Job Details Job Details: We are seeking a dedicated and passionate Senior Software Engineer specializing in Agentic AI to join our early stage SaaS startup. The successful candidate will play a pivotal role in developing and enhancing our innovative AI solutions; leveraging RAG, MCP, vector databases, LLMs, etc. This is a permanent, full-time position. You will be part of a collaborative team that is driving the future of technology services, pushing boundaries, and delivering cutting-edge solutions for our diverse clientele. Currently stack is TypeScript, React, Node, PostgreSQL, AWS, pgvector, Delta Lake, ClickHouse, Terraform. Looking into Pinecone, Weaviate, Python Responsibilities: Design, develop, and implement AI systems and solutions, focusing on Agentic AI principles. Utilize Vector Database expertise to manage and optimize data handling processes. Collaborate with cross-functional teams to understand requirements and develop AI solutions accordingly. Drive continuous improvement initiatives, enhancing system performance, efficiency, and scalability. Troubleshoot complex software issues, implementing robust and lasting solutions. Stay updated with the latest industry trends and advancements in AI and machine learning. Mentor junior engineers, fostering a collaborative and innovative team environment. Ensure adherence to best coding practices, maintaining code quality and system security. Participate in all phases of software development life cycle, including analysis, design, testing, and deployment. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree is preferred. Minimum of 5 years of experience in software development, with a focus on AI and machine learning. Proven experience with Vector Database is essential. Strong knowledge of AI principles, machine learning algorithms, and data structures. Proficiency in programming languages such as TypeScript, Python Excellent problem-solving skills, with the ability to troubleshoot complex software issues. Strong understanding of software development methodologies and life cycles. Excellent communication skills, with the ability to explain complex concepts to non-technical team members. Demonstrated ability to work effectively in a team environment, collaborating with diverse teams. Proven ability to manage multiple projects simultaneously, meeting deadlines and quality standards. Strong desire to learn, grow, and stay updated with the latest industry trends and advancements. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Opportunity to join the industries top AI Consulting firm Working with the world's top brands to execute data initiatives in artificial intelligence FULLY REMOTE This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $185,000 per year A bit about us: We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack. The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers. This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design and build robust and scalable ML solutions to meet business requirements. Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production. Develop and maintain data pipelines for large scale data processing. Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation. Implement best practices for ML development, including testing, documentation, and version control. Collaborate with cross-functional teams to understand their needs and translate them into ML solutions. Provide consulting services to internal and external stakeholders on ML best practices and solutions. Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models. Implement and manage CI/CD pipelines for ML solutions. Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum 5 years of experience in designing and implementing ML solutions. Strong programming skills in Python and Scala. Experience with data pipeline tools such as Spark and Snowflake. Proven experience in consulting, with excellent communication and problem-solving skills. Experience with infrastructure management tools such as Terraform and Docker. Experience in setting up and managing CI/CD pipelines. Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations. Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges. Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders. Self-motivated and proactive, with the ability to work independently and as part of a team. Strong desire to learn and stay updated with the latest advancements in the field of ML. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/04/2026
Full time
Opportunity to join the industries top AI Consulting firm Working with the world's top brands to execute data initiatives in artificial intelligence FULLY REMOTE This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $185,000 per year A bit about us: We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack. The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers. This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design and build robust and scalable ML solutions to meet business requirements. Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production. Develop and maintain data pipelines for large scale data processing. Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation. Implement best practices for ML development, including testing, documentation, and version control. Collaborate with cross-functional teams to understand their needs and translate them into ML solutions. Provide consulting services to internal and external stakeholders on ML best practices and solutions. Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models. Implement and manage CI/CD pipelines for ML solutions. Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum 5 years of experience in designing and implementing ML solutions. Strong programming skills in Python and Scala. Experience with data pipeline tools such as Spark and Snowflake. Proven experience in consulting, with excellent communication and problem-solving skills. Experience with infrastructure management tools such as Terraform and Docker. Experience in setting up and managing CI/CD pipelines. Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations. Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges. Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders. Self-motivated and proactive, with the ability to work independently and as part of a team. Strong desire to learn and stay updated with the latest advancements in the field of ML. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/04/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/04/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Growing Company! This Jobot Job is hosted by: Lincoln Sprague Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $95,000 - $115,000 per year A bit about us: With over 60 years in the industry we are a leader in the aerospace components manufacturing! We believe in taking care of our people and making a quality product. This philosophy of taking care of our customers and our people above all else has caught the eye of some of the largest customers in the industry. These customers include; Boeing, Airbus, Lockheed Martin and more! If you are a qualified Systems Engineer (I.T.) looking for an opportunity to make technology that helps our first responders and war fighters, Please Apply! Why join us? Do you want to work with some of the nation's best Clients AND enjoy time at home w/ family? We do too! Meaningful Work! Best in Class Firm! Profit Sharing! Employer Paid Benefits! Flexible Work Schedules! Accelerated Career Growth! Job Details Job Details: We are on the hunt for a dynamic and talented Permanent Systems Engineer I.T. to join our thriving Engineering team. This role is perfect for a tech-savvy individual who is passionate about leveraging their technical skills to optimize our network systems. The successful candidate will have a strong background in VMWARE, Desktop Support and Network Engineering. This role requires a minimum of 5 years of experience in the field and offers a unique opportunity to contribute to and learn from our experienced team. Responsibilities: As a Permanent Systems Engineer I.T., your main responsibilities will include: 1. Designing, installing, maintaining, and supporting our complex network infrastructure to ensure optimal performance and security. 2. Utilizing VMWARE to create, modify, and manage virtual machines and resources. 3. Providing comprehensive desktop support to our team members, ensuring all hardware and software issues are resolved promptly and efficiently. 4. Collaborating with other team members to troubleshoot and resolve network-related issues. 5. Conducting regular system audits to ensure all systems are running optimally and securely. 6. Developing and implementing network maintenance and growth plans. 7. Training team members on new technologies and systems to ensure optimal utilization. 8. Keeping up-to-date with the latest technologies and industry trends to ensure our systems remain competitive. Qualifications: The ideal candidate for the Permanent Systems Engineer I.T. position will have the following qualifications: 1. A minimum of 5 years of experience in a similar role within the Engineering industry. 2. Proven experience with Network Engineering, VMWARE, and Desktop Support. 3. A degree in Computer Science, Information Technology, Engineering, or a related field. 4. Strong problem-solving skills and the ability to troubleshoot complex network issues. 5. Excellent communication skills, with the ability to explain complex technical concepts to non-technical team members. 6. Strong organizational skills, with the ability to prioritize tasks and work under pressure. 7. A commitment to continuous learning and development in the ever-evolving world of technology. 8. Relevant professional certifications (such as CCNA, CCNP, VCP) will be considered an added advantage. If you are a passionate Systems Engineer with the required experience and skills, we invite you to apply for this exciting opportunity. Join our team and play a crucial role in shaping our network systems and driving our success in the Engineering industry. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/04/2026
Full time
Growing Company! This Jobot Job is hosted by: Lincoln Sprague Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $95,000 - $115,000 per year A bit about us: With over 60 years in the industry we are a leader in the aerospace components manufacturing! We believe in taking care of our people and making a quality product. This philosophy of taking care of our customers and our people above all else has caught the eye of some of the largest customers in the industry. These customers include; Boeing, Airbus, Lockheed Martin and more! If you are a qualified Systems Engineer (I.T.) looking for an opportunity to make technology that helps our first responders and war fighters, Please Apply! Why join us? Do you want to work with some of the nation's best Clients AND enjoy time at home w/ family? We do too! Meaningful Work! Best in Class Firm! Profit Sharing! Employer Paid Benefits! Flexible Work Schedules! Accelerated Career Growth! Job Details Job Details: We are on the hunt for a dynamic and talented Permanent Systems Engineer I.T. to join our thriving Engineering team. This role is perfect for a tech-savvy individual who is passionate about leveraging their technical skills to optimize our network systems. The successful candidate will have a strong background in VMWARE, Desktop Support and Network Engineering. This role requires a minimum of 5 years of experience in the field and offers a unique opportunity to contribute to and learn from our experienced team. Responsibilities: As a Permanent Systems Engineer I.T., your main responsibilities will include: 1. Designing, installing, maintaining, and supporting our complex network infrastructure to ensure optimal performance and security. 2. Utilizing VMWARE to create, modify, and manage virtual machines and resources. 3. Providing comprehensive desktop support to our team members, ensuring all hardware and software issues are resolved promptly and efficiently. 4. Collaborating with other team members to troubleshoot and resolve network-related issues. 5. Conducting regular system audits to ensure all systems are running optimally and securely. 6. Developing and implementing network maintenance and growth plans. 7. Training team members on new technologies and systems to ensure optimal utilization. 8. Keeping up-to-date with the latest technologies and industry trends to ensure our systems remain competitive. Qualifications: The ideal candidate for the Permanent Systems Engineer I.T. position will have the following qualifications: 1. A minimum of 5 years of experience in a similar role within the Engineering industry. 2. Proven experience with Network Engineering, VMWARE, and Desktop Support. 3. A degree in Computer Science, Information Technology, Engineering, or a related field. 4. Strong problem-solving skills and the ability to troubleshoot complex network issues. 5. Excellent communication skills, with the ability to explain complex technical concepts to non-technical team members. 6. Strong organizational skills, with the ability to prioritize tasks and work under pressure. 7. A commitment to continuous learning and development in the ever-evolving world of technology. 8. Relevant professional certifications (such as CCNA, CCNP, VCP) will be considered an added advantage. If you are a passionate Systems Engineer with the required experience and skills, we invite you to apply for this exciting opportunity. Join our team and play a crucial role in shaping our network systems and driving our success in the Engineering industry. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
03/04/2026
Full time
Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Date Posted: 2026-01-21 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issues security clearance is required prior to start date At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Systems Engineering Integrated Systems (SE Integrated Systems) department is seeking a Systems Engineer II to support the design and development of world-class Land and Air Defense Systems. SE Integrated Systems leads all aspects of systems engineering to develop complex systems in support of the Raytheon Land and Air Defense Systems (LADS) mission area from our Tewksbury, MA location. The department supports Raytheon by cultivating a world-class team of systems thinkers who collaborate to architect technical solutions to some of the world's toughest challenges. Key technical domains include Radar Systems and Sensor Netting, Effector Systems, Battle Management, Command and Control, Communications, Network Design, Battlespace Integration, and Interoperability for both domestic and international customers. What You Will Do Concept and requirements development, including decomposition and flow-down Concept of Operations (CONOPS) development and design Algorithm optimization, research and development; trade studies to bring new, advanced features to fielded system Functional analysis of real world and test data Multi-disciplinary development efforts across the kill-chain for an Air and Missile Defense System Collaborate with customer to bring new capabilities to the warfighter Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience. Systems Engineering experience. Ability to obtain Interim Secret U.S. government issued security clearance is required prior to start date. Qualifications We Prefer Experience interfacing with external customers. Experience of radar systems (for example - PATRIOT, LTAMDS, AN/TPY-2 and others) Experience with both broad, large-scale data analysis and focused root-cause analysis Experience with Artificial Intelligence/Machine Learning Experience with design of system level architecture Experience with signal processing techniques, system control Experience of Electronic Warfare/Electronic Attack/Electronic Protection Techniques Experience across the product development life cycle Familiarity with MATLAB, DOORS, and MS Office Existing DoD Security Clearance What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation assistance is available! Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
03/04/2026
Full time
Date Posted: 2026-01-21 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issues security clearance is required prior to start date At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Systems Engineering Integrated Systems (SE Integrated Systems) department is seeking a Systems Engineer II to support the design and development of world-class Land and Air Defense Systems. SE Integrated Systems leads all aspects of systems engineering to develop complex systems in support of the Raytheon Land and Air Defense Systems (LADS) mission area from our Tewksbury, MA location. The department supports Raytheon by cultivating a world-class team of systems thinkers who collaborate to architect technical solutions to some of the world's toughest challenges. Key technical domains include Radar Systems and Sensor Netting, Effector Systems, Battle Management, Command and Control, Communications, Network Design, Battlespace Integration, and Interoperability for both domestic and international customers. What You Will Do Concept and requirements development, including decomposition and flow-down Concept of Operations (CONOPS) development and design Algorithm optimization, research and development; trade studies to bring new, advanced features to fielded system Functional analysis of real world and test data Multi-disciplinary development efforts across the kill-chain for an Air and Missile Defense System Collaborate with customer to bring new capabilities to the warfighter Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience. Systems Engineering experience. Ability to obtain Interim Secret U.S. government issued security clearance is required prior to start date. Qualifications We Prefer Experience interfacing with external customers. Experience of radar systems (for example - PATRIOT, LTAMDS, AN/TPY-2 and others) Experience with both broad, large-scale data analysis and focused root-cause analysis Experience with Artificial Intelligence/Machine Learning Experience with design of system level architecture Experience with signal processing techniques, system control Experience of Electronic Warfare/Electronic Attack/Electronic Protection Techniques Experience across the product development life cycle Familiarity with MATLAB, DOORS, and MS Office Existing DoD Security Clearance What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation assistance is available! Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-01-13 Country: United States of America Location: AZ805: RMS AP Bldg East Hermans Road Building 805, Tucson, AZ, 85756 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Integrated Solutions, Modeling, and Architecture (ISMA) center assesses, develops, and evaluates solution architectures for our customers' largest, most complex challenges across all the operational domains. In the Operations and Mission Analysis Department you'll be part of a special team that analyzes the world's most challenging threats and helps define new capabilities to counter them, pushing the boundaries of innovation, and leading the industry in operational modeling and simulation using our purpose-built software. As a team member in the Airborne Kill Chain AI/ML Section, you will join a high-performing team of engineers working with high-fidelity missile simulations to construct decision support systems used by the warfighter. We are currently recruiting for a Senior Simulation Analysis Engineer for an onsite role in Tucson, AZ. What You Will Do Support the design, development, and/or utilization of high-fidelity digital simulation software in advanced technical computing environments. Contribute to trade studies to assess system performance of weapons against a variety of threats in a variety of kill chain scenarios. Contribute your knowledge of performance engineering practices, and procedures, to evaluate work across a wide range of intriguing computational problems to answer questions such as: what should be the next system improvement; or what is the effectivity of the missile against a single or multiple threats; or what counter measures should be considered to increase effectivity and/or survivability and other operational performance related questions. Collaborate in a team environment, receiving input from the program, external customers, or team experts, and work on varied projects, as you determine, develop, and implement analytic approaches that will generate the supporting data to inform programmatic decisions. Participate in the development and implementation of model-based solutions to power decision support systems, and participate in validation and testing models, software components and/or integrated systems. Occasional travel as needed to support the customer/ Program. ( Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience Experience with MATLAB or Python Experience in at least two of the following: Systems engineering life cycle Software development and/or object-oriented design using C/C++ and/or Java Artificial Intelligence (AI), Machine Learning (ML) and/or Surrogate Modeling Computation on high-performance computing (HPC) Qualifications We Prefer Advanced Degree in one of the following majors: Systems Engineering, Software Engineering, Operations Research, Electrical Engineering, Applied Mathematics, Industrial Engineering, Physics, or Aerospace Engineering. Active Top Secret DoD clearance. Experience in data analysis and statistics with large volumes of data. Experience with AFSIM or other Simulation Modeling development, and/or analysis. Experience conducting analyses and studies, including how to define and execute a study. Strong written and verbal communication with peers, management, IT support, and customers What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
03/04/2026
Full time
Date Posted: 2026-01-13 Country: United States of America Location: AZ805: RMS AP Bldg East Hermans Road Building 805, Tucson, AZ, 85756 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Integrated Solutions, Modeling, and Architecture (ISMA) center assesses, develops, and evaluates solution architectures for our customers' largest, most complex challenges across all the operational domains. In the Operations and Mission Analysis Department you'll be part of a special team that analyzes the world's most challenging threats and helps define new capabilities to counter them, pushing the boundaries of innovation, and leading the industry in operational modeling and simulation using our purpose-built software. As a team member in the Airborne Kill Chain AI/ML Section, you will join a high-performing team of engineers working with high-fidelity missile simulations to construct decision support systems used by the warfighter. We are currently recruiting for a Senior Simulation Analysis Engineer for an onsite role in Tucson, AZ. What You Will Do Support the design, development, and/or utilization of high-fidelity digital simulation software in advanced technical computing environments. Contribute to trade studies to assess system performance of weapons against a variety of threats in a variety of kill chain scenarios. Contribute your knowledge of performance engineering practices, and procedures, to evaluate work across a wide range of intriguing computational problems to answer questions such as: what should be the next system improvement; or what is the effectivity of the missile against a single or multiple threats; or what counter measures should be considered to increase effectivity and/or survivability and other operational performance related questions. Collaborate in a team environment, receiving input from the program, external customers, or team experts, and work on varied projects, as you determine, develop, and implement analytic approaches that will generate the supporting data to inform programmatic decisions. Participate in the development and implementation of model-based solutions to power decision support systems, and participate in validation and testing models, software components and/or integrated systems. Occasional travel as needed to support the customer/ Program. ( Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience Experience with MATLAB or Python Experience in at least two of the following: Systems engineering life cycle Software development and/or object-oriented design using C/C++ and/or Java Artificial Intelligence (AI), Machine Learning (ML) and/or Surrogate Modeling Computation on high-performance computing (HPC) Qualifications We Prefer Advanced Degree in one of the following majors: Systems Engineering, Software Engineering, Operations Research, Electrical Engineering, Applied Mathematics, Industrial Engineering, Physics, or Aerospace Engineering. Active Top Secret DoD clearance. Experience in data analysis and statistics with large volumes of data. Experience with AFSIM or other Simulation Modeling development, and/or analysis. Experience conducting analyses and studies, including how to define and execute a study. Strong written and verbal communication with peers, management, IT support, and customers What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-02-24 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our engineers design, develop, and build innovative solutions for the U.S. Government. Experience all aspects of a software development life cycle as a member of a fast-paced agile team on the leading edge of: Real-time systems design Digital signal processing Machine Learning and Autonomous Systems Cyber Security DevOps technologies and methods We encourage curious, creative problem solvers to join our team of bright, dedicated software craftspeople in designing and implementing highly innovative systems. You will learn advanced software engineering practices and apply new technologies to develop next generation capabilities and help keep our country safe. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C, C++, or Java. Experience with the integration of real-time software, firmware, and hardware. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
03/04/2026
Full time
Date Posted: 2026-02-24 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our engineers design, develop, and build innovative solutions for the U.S. Government. Experience all aspects of a software development life cycle as a member of a fast-paced agile team on the leading edge of: Real-time systems design Digital signal processing Machine Learning and Autonomous Systems Cyber Security DevOps technologies and methods We encourage curious, creative problem solvers to join our team of bright, dedicated software craftspeople in designing and implementing highly innovative systems. You will learn advanced software engineering practices and apply new technologies to develop next generation capabilities and help keep our country safe. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C, C++, or Java. Experience with the integration of real-time software, firmware, and hardware. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-02-24 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our engineers design, develop, and build innovative solutions for the U.S. Government. Experience all aspects of a software development life cycle as a member of a fast-paced agile team on the leading edge of: Real-time systems design Digital signal processing Machine Learning and Autonomous Systems Cyber Security DevOps technologies and methods We encourage curious, creative problem solvers to join our team of bright, dedicated software craftspeople in designing and implementing highly innovative systems. You will learn advanced software engineering practices and apply new technologies to develop next generation capabilities and help keep our country safe. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C, C++, or Java. Experience with the integration of real-time software, firmware, and hardware. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
03/04/2026
Full time
Date Posted: 2026-02-24 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our engineers design, develop, and build innovative solutions for the U.S. Government. Experience all aspects of a software development life cycle as a member of a fast-paced agile team on the leading edge of: Real-time systems design Digital signal processing Machine Learning and Autonomous Systems Cyber Security DevOps technologies and methods We encourage curious, creative problem solvers to join our team of bright, dedicated software craftspeople in designing and implementing highly innovative systems. You will learn advanced software engineering practices and apply new technologies to develop next generation capabilities and help keep our country safe. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C, C++, or Java. Experience with the integration of real-time software, firmware, and hardware. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
