Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. DX'sSolutions Engineering Team at Atlassian is seeking a highly skilled and passionate Solutions Architect to be a key driver in the successful adoption and long-term growth of the DX product ( getdx.com ). You will serve as the technical authority for our customers after the sale, dedicated to solving our Enterprise customers' most complex implementation challenges and ensuring they realize maximum value from our solutions. - Lead Technical Implementation: Partner closely with Customer Success Managers to drive and lead all technical aspects of the post-sales lifecycle, including onboarding, complex integrations, and system architecture, ensuring a seamless transition from evaluation to production. - Architecture and Strategy: Lead technical deep-dive sessions to understand a customer's long-term engineering goals, mapping the DX platform into their existing workflows and organizational structures. - Custom Solution Engineering: Design and build tailored technical solutions-often creating integrations or workflows that don't yet exist-to connect the DX APIs with complex client environments and satisfy unique business requirements. - Consultative Implementation: Ask thoughtful, detailed questions to navigate the nuances of a customer's engineering processes, branching strategies, and deployment pipelines to ensure the platform is configured for optimal performance. - Trusted Advisory: Act as the technical "North Star" for Enterprise clients, providing strategic guidance on best practices for developer experience (DX) analytics, deployment methodologies, and cultural transformation. - Feedback Loop: Capture and synthesize technical feedback and friction points from active customers to collaborate closely with the Product and Engineering teams, directly informing the product roadmap and feature enhancements. - Exposure to programming (Ruby/Rails or Python) with a solid understanding of APIs and RESTful services. - Experience with version control systems like Git and the GitHub CLI. - Familiarity with SQL (Postgres preferred) and the ability to leverage data for analytical solutioning. - Knowledge of CI/CD pipelines, deployment workflows, and branching strategies. Consultative Skills: - Excellent communication and presentation skills, with extensive experience leading high-stakes technical workshops and executive-level discussions. - Ability to translate complex technical architecture into clear business outcomes and value. - Strong organizational skills to manage the technical delivery and resource requirements across multiple Enterprise implementations simultaneously. Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $147,600 - $192,700 Zone B: $133,200 - $173,900 Zone C: $122,400 - $159,800 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. • Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations. • Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures. • Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology. • Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction. • Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. • Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations. • Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures. • Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology. • Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction. • Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

Role Description The rapidly growing AI community within industries is inspired by developers who are applying their passion to build a wide range of applications and services using innovative accelerated computing technologies and platforms from NVIDIA. We are now looking for a dynamic, customer-minded Solution Architect who is passionate about AI (artificial intelligence) areas such as machine learning (ML) and deep learning (DL) to join NVIDIA’s developer programs team. The role is fast-paced and involves engaging with developers across our Industry Enterprise customers at scale, as well as responding quickly to urgent implementation issues. In parallel, you will be building technical content that accelerates adoption. What you’ll be doing: - Making AI Startups successful, helping accelerate their apps/platforms using the latest SDKs and technologies. - Collaborating deeply with NVIDIA deep learning engineers, SDK product and framework teams, Deep Learning Institute (DLI), and NV Research to ensure developer enablement materials are best-in-class and fully aligned with technology roadmaps. - Championing the use of DL (deep learning) and Data Science across the growing portfolio of AI startups. - Developing world-class materials to educate developers, including sample applications, tutorials, white papers, technical blogs, trainings, and presentations. - Contributing to the development of hands-on training materials and exercises used in DLI courses and becoming a certified instructor. Qualifications - BS/MS in Engineering, Computer Engineering, or Computer Science - or equivalent experience. - 5+ years experience in an externally facing technical role. - Solid understanding of standard methodologies for solution design and implementation based on frameworks and platforms that are GPU-accelerated. - Detailed understanding of NVIDIA's software stack from drivers to SDKs and APIs. - Experience presenting to technical audiences and creating technical content for developers. - Passionate about getting things done quickly. - Excellent written and verbal communication skills. - Confirmed ability to handle multiple projects simultaneously. - Ability to work independently with minimal direction. - Please be prepared to provide samples of your work where you have created and delivered public-facing technical content, made forum contributions, etc. Requirements - History of engaging and nurturing developers. - Hands-on experience with NVIDIA SDKs and key technologies (e.g. Riva, Triton, RAPIDS, cuDNN, CUDA, DL/ML Frameworks). - 3+ years of machine learning or deep learning experience. - In-depth knowledge of modern deep learning software design, data science workflows, and applications. - Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Keras, or others. Benefits - Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. - You will also be eligible for equity and benefits.