134 jobs found

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Description: THE COMPANY For over 40 years, Aero Simulation, Inc. (ASI) has provided quality flight training devices to the US Military. ASI has successfully built numerous training systems with a primary focus on aircrew and maintenance training systems. Our current programs include, but are not limited to, the B-1 Training Systems (Air Force), E-2D Training Systems (Navy), CH-53E Training Devices (USMC), IMOMS (Coast Guard), Navigation, Seamanship, Shiphandling Trainer - NSST (Navy). To learn more about ASI visit Programs- Aero Simulation, Inc. ASI is a 100% employee-owned engineering and manufacturing company committed to supporting the nation's warfighters. Being 100% employee-owned directly impacts our culture: it drives our decision-making, motivates our teams, increases our productivity, improves retention and contributes to the future success of our company. Our culture is one where we work hard for our clients and for each other - and we have fun collaborating, sharing experience and expertise, and learning along the way. We strive to deliver exceptional quality, elevate client relationships, and enrich the careers and lives of our employee-owners. As Employee-Owners, we are invested in the success and continued development of each other and the company. In addition to the Employee Stock Ownership Plan (ESOP), we offer a flexible work environment, generous paid time off, professional development opportunities, industry competitive compensation, and superior benefits to include medical, dental, 401k and more! ASI is a great place to build a career and grow with a company that is dedicated to quality, service and to fostering a community of support for each and every member of the team. To learn more about this opportunity, keep reading! POSITION SUMMARY The Embedded Systems Engineer will be assigned one or more systems within which replicate the avionics/aircraft systems of the land/sea/air vehicle to be simulated. These systems include communications (radios and ICS), navigation (GPS, TACAN, VOR, etc.), defensive systems (chaff, flares, ECM, etc.), offensive systems (bombs, torpedoes, missiles, etc.), aircraft systems (electrical, hydraulics, etc.), and other subsystems which may be applicable (GPWS, TCAS, IFF, etc.). ESSENTIAL DUTIES AND RESPONSIBILITIES Working in the aerospace engineering subspecialty field of avionics, Avionic engineers apply engineering principles to research, analyze, plan, design, develop, code, implement and test aircraft electrical, computer, data networks, and associated systems. Reviews and prepares engineering and technical analysis, reports, design reviews, change proposals, and other technical documentation. Applies their experience to perform functions such as simulation code development, systems integration, design, configuration management, quality assurance testing, and resource management. Acts as an engineering team member on assigned projects developing engineering procedures and controls, managing project effort, and participation in problem resolution. Interfaces with other engineers, system and program contractors, vendors, and Government representatives regarding the technical aspects of engineering programs/projects. Communicate all ongoing activities and results to other engineers, customers, stakeholders, and management in a positive manner. Read, write, and maintain new and existing software. Follows established company and industry processes and procedures. SUPERVISORY RESPONSIBILITIES This job has no supervisory responsibilities. Requirements: EXPERIENCE REQUIREMENTS Entry - 0 to 3 Years MID- 4 to 7 Years SENIOR - 7 to 10 Years The position requires developing code on Linux and Windows systems. Proficiency with C, C++, or C#. Competency with FORTRAN or Ada a plus. Competency in a scripting environment such as Python, Bash, or PowerShell. Competency in a version control system such as Git or SVN Strong technical understanding with at least one area of specialization expected ADDITIONAL REQUIRED SKILLS AND ABILITIES Ability to develop and maintain positive working relationships with internal and external customers. Ability to adapt communication style and messaging to different audiences. Ability to manage multiple priorities and projects simultaneously, ensuring stakeholder expectations are managed appropriately. Ability to work in a project-oriented, fast paced environment to meet deadlines. The candidate must be able to work in a team environment, or independently, as necessary, and be a self-starter who will attack designs and resolve problems effectively and efficiently. Proficiency in common business software (Microsoft Office - Word, Outlook, Power Point, Excel, Visio, Teams/SharePoint). Ability to work with project teams to successfully deliver new or modified functionalities. Keen attention to detail to deliver solutions that meet business requirements and are operationally supportable. EDUCATION REQUIREMENTS Bachelors or Master's in Electrical or Computer Engineering -or- Equivalent experience to education and three years' experience in related aircraft or flight simulation systems EMPLOYMENT REQUIREMENTS U.S. Citizenship Required: As a federal contractor supporting the U.S. warfighter, it is required that all employees in this role be United States citizens in compliance with government contract and security requirements. Background Check: Must be able to successfully pass an initial background screening. Security Clearance: Must be able to obtain and maintain an active Department of Defense (DoD) security clearance. The selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information, as required by the position. Work Schedule Flexibility: Occasional overtime and alternate shifts may be required to meet customer schedules, critical deadlines, or program milestones. Travel Requirements: Must be able and willing to travel domestically and, on occasion, internationally to customer sites, partner locations, or project meetings in support of contract objectives. Drug-Free Workplace: ASI maintains a Drug-Free Workplace. Applicants and employees are subject to pre-employment and random drug testing in accordance with company policy. Employment Contingency: All employment offers are contingent upon the successful completion of all background checks, security clearance requirements, and drug-screening results. PHYSICAL REQUIREMENTS Candidate must be able to work in small-confined spaces (simulator cockpits) Typically, employees sit comfortably to do their work, interspersed by brief periods of standing, walking, bending carrying papers and books, and extensive periods requiring the use of computer terminals to accomplish work objectives. Additional skills may be required to perform additional task(s) specific to work location, department or line of business. WORK ENVIRONMENT Work is primarily performed in an office environment consisting of offices and cubicles with low to moderate noise and bright or dim lighting. The work is fast-paced and sometimes involves extreme deadline pressures. The nature of the work requires a high degree of teamwork and cooperation with other members of the staff as well as external customers. Note: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications that are required of the employee for the job. Duties, responsibilities, and activities may change at any time with or without notice. The following policies apply to all areas of employment, including recruitment, hiring, training and development, promotion, transfer, termination, layoff, compensation benefits, social and recreational programs, and all other conditions and privileges of employment in accordance with applicable federal, state, and local laws. Candidate Reasonable Accommodation Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify Aero simulation, Inc. by e-mail at or by calling directly at . ADA Policy It is the policy of ASI to comply with all the relevant and applicable provisions of the Americans with Disabilities Act (ADA) and its Amendments. ASI will not discriminate against any qualified employee or job applicant with respect to any terms, privileges, or conditions of employment because of a person's physical or mental disability. ASI also will make reasonable accommodation wherever necessary for all employees or applicants with handicaps, disabilities, provided that the individual is otherwise qualified to safely perform the duties and assignments connected with the job and provided that any accommodations made are not an undue hardship for ASI. Equal Employment Opportunity ASI is proud to be an Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, domestic/civil partnership or marital status . click apply for full job details

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.