Jobiba hiring network

Senior Business Solutions Engineer Jobs

8,996 active opportunities · Updated for October 2026

Fresh results

15 shown

Explore current senior business solutions engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

Salary Range: PLN 260,000-352,000 Subject to alignment to the responsibilities and duties of the role About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary We are looking for a senior engineer to design and evolve an application-level simulator for ML workloads that directly influences hardware and software architecture decisions. This role sits at the intersection of machine learning, systems, and hardware design. You will model real-world workloads, predict system behaviour, and provide insights that guide how our platform evolves. Success in this role requires not only strong technical depth, but also the ability to work closely with multiple teams to ensure the simulator reflects reality and drives meaningful decisions. The Team The Tenjin team focuses on building advanced simulation capabilities to model and predict the behaviour of large-scale ML workloads on next-generation hardware and software platforms. We operate at the intersection of machine learning, systems, and architecture, developing tools that enable data-driven decisions long before systems are fully built or deployed. Our work helps shape both hardware and software direction by providing early insights into performance, scalability, and efficiency. The team brings together engineers with backgrounds in simu

pythonmachine learningartificial intelligence
View job →

Salary Range: (Determined during interview process, based on technical fit for each level of role) Staff Engineer - PLN 350,700 - 474,400 + Benefits + Equity Senior Engineer - PLN 260,400 - 352,200 + Benefits + Equity Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Hybrid Working Policy - 3 Days per week in office About the job Explore how a next-generation AI architecture behaves from rack scale to data centre scale. As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will turn complex system behaviour into measurable evidence. You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale. When behaviour is unexpected, you will turn uncertainty into new measurements. Your work will help infrastructure engineers, architects and application specialists understand performance, scalability and reliability across the stack. You will also help develop tooling and automation to collect, analyse and visualise system metrics. You do not need to be an AI expert. You will need strong judgement, a clear preference for evidence over opinion and a desire to explore complex systems beyond the obvious. The team and culture The System QA team is distributed across multiple locations so we work deliberately to stay connected. Daily team meetings create space to share ideas, ask questions, discuss findings and solve problems together. You will have regular 1:1s with your people manager where you will have the opportunity to discuss things that matter to you. You will have dedicated time each week to focus on your CPD. The technical lead will provide direction and help set priorities, but everyone in the team is there to support each other. Decisions are guided by evidence, clear communication and a willingness to challenge assumptions. Your manager will trust you to follow the evidence w

pythonartificial intelligenceai
View job →

Senior: GBP 73,500 - 99,500 Staff: GBP 97,300 - 131,700 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 Linux distribution foundation that turns upstream software into trusted Graphcore platform releases. You will help create the Linux distribution that powers Graphcore AI systems. The team produces production-ready system images from proven upstream distributions. Your work will shape how releases are built, validated and prepared for deployment. You will strengthen the engineering path from upstream Linux software to dependable platform releases. You will build and improve automated pipelines, run established Linux test suites, and diagnose issues across build and validation flows. As the platform evolves, you will introduce controlled configuration and tuning changes with evidence-led validation. This is hands-on systems engineering with visible impact. You will help define reliable processes for a new team building a critical part of Graphcore’s platform. The team and culture You will join one of Graphcore’s newest engineering teams, helping shape its culture from the start. It is a small, co-located team where ownership matters and progress is visible. Work happens through close technical discussion, practical problem-solving and evidence-led decisions. Ideas are challenged openly, and the best path wins regardless of hierarchy. You will report to a leader who values technical credibility and invests in people’s growth. The team moves with pace, takes responsibility and changes direction when the evidence demands it. What we're looking for Strong practical experience working in Linux environments Experience building or maintaining automated CI/CD pipelines for reliable engineering workflows Proficiency in Python, Bash or similar

pythonlinuxartificial intelligence
View job →

Salary Range: PLN 260,000 - 352,000 PLN Subject to alignment to the responsibilities and duties of the role About the job Build the simulator that helps engineers understand and optimise collective communication at AI scale. As a Senior Software Engineer in the Collectives Simulator team, you will design and develop a large-scale simulator for new AI hardware. Your work will help engineers analyse network parameters and develop communication algorithms for high bandwidth and low latency. You will lead development across design, implementation, testing and documentation. You will also work with other engineering teams to develop features, troubleshoot complex issues and integrate new hardware with the wider AI ecosystem. The role combines large-scale software engineering with custom hardware and communication systems. You will shape technical direction, mentor junior engineers and help build the software that enables efficient communication at very high scale. The team and culture We value face-to-face interaction and make time to meet in the office frequently. The team works in two-week sprints, with three stand-ups each week, fortnightly sprint planning and a weekly team meeting. Work is planned with input from the Technical Product Manager, covering both longer-term priorities and upcoming sprints. Engineers typically work in small groups on larger tasks or components, coordinating the work among themselves. The team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter. What we're looking for Extensive professional software development experience using C++ Strong Python and C programming skills Experience developing efficient concurrent applications using multithreading and inter-process communication Strong debugging and problem-solving skills for complex software systems Experience with unit testing frameworks such as Boost.Test or Google Test Proficiency with software build syste

pythonartificial intelligenceai
View job →

Salary Range: PLN 260,400 - 352,200 Subject to alignment to the responsibilities and duties of the role. About the job Help make Graphcore’s AI accelerators feel native inside modern Kubernetes environments. As a Senior Cloud Software Engineer, you will lead software that enables new AI accelerator hardware within Kubernetes. You will build Go applications that make complex hardware simple to deploy, manage and operate. Your work will help engineering teams integrate new hardware into existing clusters with a smooth Kubernetes experience. You will shape how users interact with Graphcore technology in cloud-native environments. You will design, build, test and maintain production-quality software, while guiding engineers through complex technical decisions. You will also help strengthen documentation, code quality and delivery standards. This role sits close to hardware, orchestration and cloud infrastructure. It offers rare ownership over software that connects AI compute with the systems used to run it. The team and culture You will work with engineers across cloud software, hardware, platform and infrastructure. The team turns complex integration problems into practical software that users can trust. Work happens through clear technical ownership, direct communication and fast feedback. You will be expected to lead by example, mentor others and raise the quality bar. Decisions are guided by evidence, engineering judgement and open discussion. You will have space to speak up, take responsibility and move important work forward. What we’re looking for Strong experience in software development, ideally with cloud environments or infrastructure platforms Proficiency in Go, with the ability to design, build and maintain reliable applications Deep Kubernetes experience, including container orchestration and cloud-native development Strong Linux knowledge and confidence troubleshooting complex technical issues A track record of delivering complex technical solutions and

kuberneteslinuxartificial intelligence
View job →

About the job Build the operating system that helps Graphcore scale quality, resilience and production readiness. As an Integrated Management Systems Engineer, you will help shape the Graphcore way. This is our integrated approach to practical, scalable management systems. You will turn ISO 9001, ISO/IEC 27001, ISO 45001 and ISO 22301 requirements into usable ways of working. Your impact will reach engineering, operations, suppliers and corporate teams. Lead the delivery of the Integrated Management System internal audit programme, including audit planning and execution, reporting findings, agreeing corrective actions with process owners, and monitoring actions through to effective closure. The team and culture You will work with Manufacturing Operations and Quality, partnering closely with engineering, operations and process owners. Work happens through direct problem solving, clear ownership and practical decisions. This role needs someone who can move between standards, systems and real workflows. You will challenge complexity and help teams build processes that people actually use. Decisions are grounded in evidence, risk and operational reality. You will be expected to speak up, take responsibility and help Graphcore improve at pace. This Team work x3 days a week in the Bristol office. What we’re looking for · Strong understanding of ISO 9001 principles in engineering or technology-led organisations · Lead auditor qualification in ISO/IEC 27001, ISO 45001, ISO 22301 or ISO 9001 · Experience designing or improving management system processes · Ability to translate standards into practical operating models · Experience working in complex product development environments · Structured problem-solving skills, such as A3, 5 Whys or Ishikawa Benefits · Flexible working: Balance your work and personal life with greater flexibility, with an expectation to be in 2-3 days/week · Generous leave: Take time to rest, recharge and enjoy life outside of work · Retirement planni

artificial intelligenceai
View job →

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 Linux distribution foundation that turns upstream software into trusted Graphcore platform releases. You will help create the Linux distribution that powers Graphcore AI systems. The team produces production-ready system images from proven upstream distributions. Your work will shape how releases are built, validated and prepared for deployment. You will strengthen the engineering path from upstream Linux software to dependable platform releases. You will build and improve automated pipelines, run established Linux test suites, and diagnose issues across build and validation flows. As the platform evolves, you will introduce controlled configuration and tuning changes with evidence-led validation. This is hands-on systems engineering with visible impact. You will help define reliable processes for a new team building a critical part of Graphcore’s platform. The team and culture You will join one of Graphcore’s newest engineering teams, helping shape its culture from the start. It is a small, co-located team where ownership matters and progress is visible. Work happens through close technical discussion, practical problem-solving and evidence-led decisions. Ideas are challenged openly, and the best path wins regardless of hierarchy. You will report to a leader who values technical credibility and invests in people’s growth. The team moves with pace, takes responsibility and changes direction when the evidence demands it. What we're looking for Strong practical experience working in Linux environments Experience building or maintaining automated CI/CD pipelines for reliable engineering workflows Proficiency in Python, Bash or simil

pythonlinuxartificial intelligence
View job →
G
Just now

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. The availability of specialised artificial intelligence compute will be a decisive factor in AI’s rate of progress. Graphcore allows innovators to go further, faster. What we do really makes a difference. Reporting to the Director of Silicon Architecture, the SoC Architects are responsible for the design, specification, modelling and integration of sub-systems within complex, high performance and highly integrated silicon devices at the forefront of AI acceleration technology. The role involves close collaboration with other groups, including architecture, silicon design, verification, hardware and software teams. The Team The Silicon Architecture Team sits within the COO group. The SoC architects are responsible for the architectural specification, integration, modelling, validation and evaluation of numerous critical&nb

machine learningartificial intelligenceai
View job →

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a Software Driver Developer to create reference drivers for our AI-IP in a reference system. You will also support our AI-IP customer optimizing our reference driver into our customer specific systems. This role is hybrid, based out of Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Deep systems engineer with 7+ years of experience in device drivers or low-level systems programming. Strong proficiency in C and C++ with a solid understanding of hardware-software interfaces. Hands-on experience developing Linux kernel drivers, including kernel architecture, debugging, and kernel-space/user-space interactions. Experience developing drivers for high-speed I/O or interconnect technologies such as PCIe; PCIe driver development is strongly preferred. Familiar with user-mode and kernel-mode driver models and understands that Linux kernel driver development differs meaningfully from bare-metal or RTOS-based driver development. What We Need Design and evolve the driver layer that provides high-performance APIs for Tenstorrent devices. Develop and maintain user-mode and kernel-mode drivers for Te

linuxaic++
View job →

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Job title Senior DFT Engineer Job description We are looking for a person ready to take up the challenge of working in a high-profile project where we design and integrate multiple chiplets into a System-in-package, in collaboration with external stakeholders. You will work with Tenstorrent worldwide experts and leaders in the USA, Japan and other countries, and help us make our IP even better. In this role, you will be responsible for DFT implementation using industry standard tools for high-speed CPU core design. Your responsibilities Integrate and verify test features in digital designs for effective manufacturing testing and silicon debug. Key responsibilities include: Building entire chip-level DFT strategies Inserting DFTs, including scan chains, memory BIST, and JTAG Collaborating with RTL, physical design, and verification teams for testability throughout the design flow Scripting and automating DFT flows using industry-standard EDA tools (e.g., Cadence, Synopsys, Siemens) Running and analyzing ATPG and fault coverage reports Supporting silicon bring-up and debug related to test features Knowledge of advanced silicon technologies and methodologies for test coverage optimization Experience with formal verification and signoff of inserted DFT logic Strong communication and collaboration skills for cross-functional teamwork Exp

pythonai
View job →

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

typescriptpythonreact
View job →

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. Proven ability to architect scalable, production-grade applications with a stron

typescriptpythonreact
View job →

About Scale AI Scale AI accelerates the development and deployment of AI, from the high-quality training data and evaluation services that power the world's leading AI labs, to full-stack AI applications built for Enterprise, U.S. Public Sector, and Global Public Sector customers. We don't just hand over a model; we find the highest-value use case, build the system around it, and own the outcome, whether that's an agent supporting mission planning for the Department of Defense, a sovereign AI platform for a government ministry, or an agentic workflow inside a Fortune 500 enterprise. Our platform powers breakthroughs at the frontier of AI, and great design is how we make that power accessible, intuitive, and trusted by the teams who rely on it every day. The Role We're looking for a product design leader to lead and grow our enterprise team. What You'll Do Set the direction for Enterprise design. Define what exceptional design looks like for Scale's Applications customers making high-stakes decisions and for the expert contributors powering the platform. Translate the broader design vision into a clear, motivating direction for your team. Build and lead the team. Own hiring, development, and day-to-day leadership for a growing team of designers. Create the culture and operating rhythms that let them do their best work. Drive design execution across the Enterprise product. Partner with your Product and Engineering counterparts to set priorities and ensure design is involved from problem scoping through delivery, not brought in at the end. Raise the craft bar. Uphold design principles and quality standards on your team. Push designers beyond digitizing workflows toward genuinely rethinking how people work with AI. Hold the line on quality without slowing delivery. Contribute to the design system. Help shape and adopt Scale's shared design system, championing consistent component use and contributing patterns back so a distributed team can build coherently at speed. Gro

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

pythonawsai
View job →

Position Overview: The Senior Customer Success Manager is a highly commercial minded and motivated individual that c oordinates successful end to end customer lifecycle management to ensure long-term satisfaction, accelerated net retention, NPS, product usage and referrals. The Senior Customer Success Manager is a naturally, collaborative individual who thrives in a customer focused environment and has had proven success in partnering directly with leaders of large multi-national companies in solving their governance challenges using our product offerings. Key Responsibilities Seamless project management through all phases of the customer relationship, including managing the users of Brianloop's applications; the Board Directors and Corporate Executives. Remain in constant contact with the customer to evaluate satisfaction and proactively identify upcoming needs, including identifying expansion of use of Brianloop's products and services to then be passed to the Expansion Sales team. Provide an excellent customer experience for all accounts, by anticipating and resolving customer issues and maintaining customer accounts/systems in a manner that exceeds customer expectations. Coordinate with technical personnel as needed to meet customer needs, while managing customer expectations to prevent overload or missed deadlines. Provide customer feedback on solutions in order to assist in continuous improvement of the Diligent products Ability to successfully manage multiple clients and products in an organized and meticulous manner Ability to step in and assist with Director, Customer Success responsibilities when needed to assist the team and to report up to the management Act as liaison between multiple internal teams (services, sales operations, marketing, and sales) Assist in coaching, mentoring, and talent development of the broader Customer Success team. Required Experience/Skills 5 - 7 years of experi

aiproject managementrecruitment
View job →
🔔

Get new senior business solutions engineer jobs by email

Daily job updates · Unsubscribe anytime