Software Certification Engineers Jobs

Senior GenAI Engineer Location: Charlotte, NC | Practice Area: Technology & Engineering | Type: Permanent Build and scale cutting-edge generative AI solutions that drive real business impact The Role As part of Capco’s Technology Delivery Team, you will bring hands-on experience in agile delivery and engineering best practices to develop innovative AI-driven solutions. As a Senior GenAI Engineer, you will contribute across the full AI lifecycle—from experimentation and prototyping through to production deployment—helping deliver scalable, high-impact solutions for financial services clients. What You’ll Do Design and build applications using foundation models and modern GenAI techniques (e.g., RAG, agent-based workflows) Develop and experiment with autonomous or semi-autonomous agent frameworks Contribute to full-stack AI solutions, including backend services, APIs, and user-facing components Deploy and scale AI/ML solutions in cloud environments (AWS, Azure, or GCP) Collaborate with cross-functional teams and support knowledge sharing across the team What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field (or equivalent experience) ~5+ years of software engineering experience with exposure to AI/ML or data-driven applications Hands-on experience with LLMs or generative AI Strong Python skills and experience building scalable backend systems Experience working with cloud platforms and modern development practices Willingness to work in our office 3 days/week Bonus Points For Experience with GenAI concepts such as RAG, embeddings, vector databases, or agent-based systems Familiarity with MLOps/LLMOps tools and model lifecycle management Experience contributing to full-stack development across backend and frontend Interest in staying current with emerging AI trends and technologies Experience mentoring or supporting team development Why Join Capco Deliver high-impact technology solutions for Tier 1 financial

Senior GenAI Engineer Location: Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Build and scale cutting-edge generative AI solutions that drive real business impact The Role As part of Capco’s Technology Delivery Team, you will bring hands-on experience in agile delivery and engineering best practices to develop innovative AI-driven solutions. As a Senior GenAI Engineer, you will contribute across the full AI lifecycle—from experimentation and prototyping through to production deployment—helping deliver scalable, high-impact solutions for financial services clients. What You’ll Do Design and build applications using foundation models and modern GenAI techniques (e.g., RAG, agent-based workflows) Develop and experiment with autonomous or semi-autonomous agent frameworks Contribute to full-stack AI solutions, including backend services, APIs, and user-facing components Deploy and scale AI/ML solutions in cloud environments (AWS, Azure, or GCP) Collaborate with cross-functional teams and support knowledge sharing across the team What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field (or equivalent experience) ~5+ years of software engineering experience with exposure to AI/ML or data-driven applications Hands-on experience with LLMs or generative AI Strong Python skills and experience building scalable backend systems Experience working with cloud platforms and modern development practices Willingness to work in our office 3 days/week Bonus Points For Experience with GenAI concepts such as RAG, embeddings, vector databases, or agent-based systems Familiarity with MLOps/LLMOps tools and model lifecycle management Experience contributing to full-stack development across backend and frontend Interest in staying current with emerging AI trends and technologies Experience mentoring or supporting team development Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions W

Senior OpenLink Developer Location: Houston, Texas, US | Practice Area : Technology & Engineering | Type: Permanent Drive complex OpenLink transformations and help energy clients modernize critical trading and risk platforms. The Role Capco is a global technology and business consultancy focused on the financial services and energy sectors. We combine innovative thinking with deep industry expertise to deliver transformational consulting, technology, and digital solutions to some of the world’s leading organizations. As a Senior OpenLink Developer, you will play a key role in delivering strategic technology initiatives for our energy clients. You will work closely with business stakeholders, consultants, and engineering teams to design, configure, and enhance OpenLink solutions that support trading, risk, and operational objectives. This role requires strong technical capability, business analysis expertise, and the ability to translate complex requirements into scalable technology solutions. What You’ll Do Configure, customize, and enhance OpenLink solutions to meet client business and operational requirements Facilitate workshops, gather requirements, and translate business needs into functional and technical specifications Analyze existing systems and processes to identify opportunities for optimization and platform improvements Troubleshoot application issues, resolve software defects, and provide ongoing user support throughout delivery lifecycles Produce high-quality client deliverables including process documentation, solution designs, presentations, and implementation plans What We’re Looking For 5+ years of experience working as a Business Analyst, OpenLink Developer, or techno-functional consultant Hands-on experience implementing, configuring, and extending OpenLink platforms in complex environments Strong understanding of software delivery lifecycles, requirements gathering, process mapping, and stakeholder management Experience supporting tes

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We’re looking for a strong operator to carry out the testing, deployment, and logging of new advanced technologies, working outside and from various offices around the Dublin/Bay Area. In this role, you’ll report to the Team Lead and be a core member of our Field Operations Team. Shift: This role requires working nights and weekends, with shift hours ranging from 2 PM to 12 AM. There may be a need to rotate between shifts to support operational and business needs. There will be a two week notice provided whenever this is needed. This role requires you to be comfortable with riding an electric bike in the Bay Area. You will need to be comfortable biking in day/night conditions as well as in traffic/on streets. You’re excited about this opportunity because you will… Manage live tests actively in transport, deployment, and safety Work closely with multiple stakeholders to improve the product, including hardware, product, software, and business operations teams Execute and document tests to verify autonomous technologies, including understanding behavior, product capabilities, new and existing issues, and added requirements Rigorous attention to process, testing programs, and checklists, ensuring high levels of safety as well as efficiency and reliability of new products We’re excited about you because… 2 years of experience or strong interest in the space Valid U.S. drivers license required and a successful completion of MVR required, able to support multiple locations in the Bay Area including Dublin, Concord San Ramon and Oakland. Comfortable working outside and operating micro-mobility Experience and enthusiasm with live Field Operations for

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We’re looking for a strong operator to carry out the testing, deployment, and logging of new advanced technologies, working outside and from various offices around the Phoenix area. Two-week training will occur in the Phoenix Arizona Area. In this role, you’ll report to the Team Lead and be a core member of our Field Operations Team. Shift: This role requires working nights and weekends, with shift hours ranging from 2 PM to 12 AM. There may be a need to rotate between shifts to support operational and business needs. There will be a two week notice provided whenever this is needed. This role requires you to be comfortable with riding an electric bike in the Phoenix Area. You will need to be comfortable biking in day/night conditions as well as in traffic/on streets. You’re excited about this opportunity because you will… Manage live tests actively in transport, deployment, and safety Work closely with multiple stakeholders to improve the product, including hardware, software, and business operations teams Execute and document tests to verify autonomous technologies, including understanding behavior, product capabilities, new and existing issues, and added requirements Rigorous attention to process, testing programs, and checklists, ensuring high levels of safety as well as efficiency and reliability of new products We’re excited about you because… 2 years of experience or strong interest in the space Drivers license required, able to support multiple locations in Phoenix, including Tempe, Mesa, Chandler, Gilbert and Scottsdale Comfortable working outside and operating micro-mobility Experience and enthusiasm with live Field Operations

About the job Define how Graphcore tests complex hardware before it reaches production and the field. As Principal Board Test Engineer, you will lead advanced manufacturing test strategy for complex Circuit Board Assemblies. You will shape how Graphcore improves defect coverage, diagnostic resolution and production quality. Your work will influence products, test architectures and manufacturing partners. You will define methods, evaluation criteria and technical approaches that help PTD move faster with confidence. You will design and direct test strategies across optical inspection, X-ray inspection, in-circuit test, boundary scan and functional test. You will turn complex issues into clear decisions for engineering, suppliers and CEM partners. This is a senior technical role with real ownership. You will set direction, mentor engineers and help Graphcore build stronger test capability for future products. The Team and Culture The Product Test and Diagnosis team detects, diagnoses and manages hardware defects across chips, boards and full systems. The team works close to design, manufacturing, silicon, software and systems engineering. Work moves through hands-on investigation, clear technical judgement and direct ownership. You will be expected to act fast, speak up and take responsibility for test strategy decisions. Decisions are shaped by evidence, design intent and manufacturing reality. You will help the team think big, challenge assumptions and raise engineering standards across disciplines. What we’re looking for · Deep expertise in manufacturing test for advanced, high-complexity Circuit Board Assemblies. · Strong knowledge of electronics fundamentals, CCA manufacturing processes and defect mechanisms. · Expertise in JTAG 1149.x boundary scan, iJTAG and embedded or processor-controlled functional test. · Experience architecting, programming and debugging bed-of-nails MDA/ICT and board-level test systems. · Capability to define test methods, evaluation fram

About the job Shape the SoC architecture behind Graphcore’s next generation AI acceleration platforms. Graphcore is building AI compute systems that push far beyond a single chip. As a SoC Architect, you will define, specify and integrate critical subsystems for complex silicon devices. You will work across processor, SoC and system architecture to turn product requirements into practical design choices. Your work will influence performance, integration, modelling, validation and bring-up. This role is for someone who enjoys deep technical ownership and broad system context. You will help Graphcore deliver multiple AI silicon projects in parallel, at real scale. You will work on interfaces, interconnects and SoC subsystems that sit at the centre of advanced AI platforms. The problems are complex, visible and difficult to find elsewhere. The team and culture The Silicon Architecture team sits at the point where product ambition becomes silicon reality. Architects work closely with design, verification, hardware, software and systems teams. The team is growing because the scope is expanding. You will own meaningful technical areas, move quickly on decisions and keep momentum across groups. Ideas are tested through modelling, specification, discussion and evidence. People are expected to speak up, take responsibility and help others move faster. What we're looking for · Strong understanding of computer architecture, SoC architecture or complex silicon systems · Experience writing clear technical specifications for engineering teams · Knowledge of RTL development, verification processes or logical design · Ability to work across architecture, design, verification, hardware and software teams · Domain knowledge in areas such as PCIe, DDR, LPDDR, Ethernet or on-chip networks · Motivation to take ownership, mentor others and drive practical decisions Benefits Flexible working: Balance your work and personal life with great

Senior: PLN 260,400 - 352,200 Staff PLN 350,700 - 474,400 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level. About the job Build the quality foundations for Kubernetes systems that power next-generation AI compute. As a Staff QA Engineer, you will validate the workload management stack for new AI accelerator hardware. You will help ensure our Kubernetes integrations are robust, scalable and ready for production. Your work will shape how accelerators are scheduled, orchestrated and used across distributed environments. You will test the systems that make complex AI compute infrastructure reliable for real users. You will design automated test suites, build system and integration tests, and improve CI/CD quality practices. You will also debug issues across Kubernetes, infrastructure and applications. This role is for someone who wants to raise engineering quality across a deeply technical platform. The team and culture You will join the Workload Management team, working closely with software engineers and infrastructure specialists. The work is hands-on, systems-focused and driven by clear technical ownership. Quality is built early here, not checked at the end. You will influence test strategy, validation plans and automation practices across the development lifecycle. The team moves through open technical discussion and evidence-based decisions. You will mentor others, speak up on risk and help turn complex systems into dependable products. What we’re looking for Strong Python programming experience, with a focus on automation and test engineering Hands-on experience with Robot Framework or similar automation frameworks Experience testing cloud-native, containerised or distributed systems Strong Linux understanding and confidence debugging across multiple system layers Experience with CI/CD systems such as GitLab CI or GitHub Actions Ability to define quality standards,

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field). Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++. Professional Mindset: Detail-oriented, innovative thinker with a

Scale is at the forefront of the AI revolution, working with some of the largest companies in the world to unlock the potential of Generative AI for their business. We develop bespoke solutions that leverage our customer’s proprietary data and expertise to transform their businesses with AI. We work with them to understand the biggest levers for their business and then forward deploy with their teams to build cutting edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy cutting edge agents. Some examples of GenAI applications we build are: Content-generation systems that enable sales teams to be more effective and efficient. Highly customized wealth management copilots that make advisors more effective by helping them tap into their knowledge bases quickly and accurately. Text2SQL business intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making. We are seeking an experienced product manager to join our team and play a pivotal role in building AI solutions with and for our customers. The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development. You will be responsible for owning large AI projects for one or many customers. You will: Develop enterprise grade solutions that leverage cutting edge AI to drive business value at world class companies across many industries. Work with executives at Scale and our customers to determine and execute the product strategy of the business. Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches. Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance. Develop a point of view and execute on turning the solutions we build into repeatable softwa

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field). Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++. Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field). Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++. Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration. Why

Here’s a summary of the role: You are a seasoned AI engineer ready to design, ship, and own production‑grade agentic systems that solve real enterprise problems. At Diligent, you’ll take technical ownership of Compliance in a Box (CiaB) — a flagship AI platform reshaping how organisations manage governance, risk, and compliance at scale. You’ll architect and evolve the AI reasoning layer and agent orchestration framework at the heart of the product, shaping how multiple intelligent agents collaborate, reason, and operate safely in high‑stakes, regulated environments. This is hands‑on, deeply technical work — from system design to prompt strategy to evaluation — not research theatre. Partnering closely with product, security, and platform teams, you’ll make high‑impact decisions, move quickly, and see your work land in production fast. If you’re motivated by ownership, technical depth, and building AI systems that actually matter , this is your chance to set the standard for enterprise‑ready agentic AI. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of our Compliance in a Box product Design and implement a 7-agent architecture : OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor Implement Human-in-the-Loop (HITL) gates across agent workflows, and tune prompts and confidence scoring for Bedrock-hosted models Own the agent evaluation framework — measuring quality, latency, and reliability to keep CiaB performant and production-ready Collaborate with cross-functional teams to deliver CiaB feature-complete by Week 7 — your work ships fast and your impact is visible from day one These are the essentials you’ll need to get an interview: A degree in Computer Science, Software Engineering, or a related IT discipline Demonstrable understandin

ROLE/RESPONSIBILTIES: We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc. Responsibilities include: Exploring and combining rich internal and external textual datasets Building GenAI solutions, leveraging both internal models and external APIs Formulating research hypothesis to derive alpha Post-training models for specific tasks Benchmarking LLM approaches internal tasks We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact. REQUIREMENTS: Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline Experience in NLP, particularly LLMs. Proficient in Python, SQL and general software engineering principles (github, testing, etc.) Data science stack familiarity Interest in financial markets Collaborative mindset ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

A Career with Point72's Trading Research Team WHAT YOU'LL DO Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets Deploy, monitor, and operate production services, including automated testing, release processes, and incident response Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence WHAT'S REQUIRED Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline 3+ years of professional software engineering experience building production systems in a collaborative environment Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components Practical experience building and querying relational databases or columnar data stores using SQL and hands-on experience with Linux development Proven experience designing and operating production services, including testing, deployment, and monitoring practices Demonstrated ability to profile, debug, and