Role Description We’re seeking a QA Engineer to join our team as a technical gatekeeper for quality. At Arena Club, QA is deeply integrated into the development lifecycle: every developer ticket requires manual verification and approval from our QA team before release. This role is ideal for someone who thrives in a high-automation environment (~90% coverage) but understands the critical value of manual exploratory testing for new features. You will be a Playwright and TypeScript specialist, a SQL power-user for technical support, and a performance advocate ensuring our mobile experience is world-class across all devices. What You Will Do - Ticket Approval & Verification: Act as the final checkpoint for every developer ticket, performing manual verification and release testing to ensure all regression and automation tests pass. - Advance Automation: Build and maintain end-to-end (E2E) test suites using Playwright and TypeScript, focusing on new feature development and closing existing automation gaps. - Technical Support: Leverage SQL to perform data validation, investigate complex technical support escalations, and troubleshoot backend workflows. - Comprehensive Testing: Own the execution of functional, non-functional, regression, and smoke testing, with a specific focus on performance testing across different mobile devices. - Collaboration: Partner with Engineers to define test coverage while developers manage unit/integration tests, ensuring a robust E2E testing layer. - Defect Management: Log, track, and retest defects with high-precision documentation and reproducible steps. Qualifications - 3+ years of QA Engineering experience in a fast-paced software environment - Strong hands-on experience writing and maintaining automation frameworks using Playwright and TypeScript - Solid SQL skills (including joins and complex queries) to assist with technical support and data integrity checks - Specific experience performing automation and performance testing across a variety of mobile devices - Hands-on experience using AI tools (Claude or Cursor preferred; other agentic tools welcome) to ship code, build agents, and automate workflows - Prior experience in a technical customer support role or a high-collaboration engineering environment - A disciplined approach to manual testing for critical flows and a commitment to high-quality documentation - Comfortable working as a contractor in a global, distributed team - Ability to work cross-functionally with Product, Engineering, and Operations - Nice to have: experience in marketplaces, logistics/ops-heavy environments, or collectibles Benefits - Life at Arena Club isn’t designed for comfort. We’re building products and experiences the collectibles industry has never seen, and that requires urgency, resilience, and an obsession with excellence. - From day one, you own outcomes. You’re trusted to deliver, expected to raise the bar, and encouraged to innovate beyond what’s been done before. - If you’re ambitious, competitive, and ready to grow faster than you thought possible, step into the arena. This is where you’ll be challenged, supported, and rewarded in ways few environments can match.

Role Description As a Forward Deployed Engineer (FDE) at Nirmata, you will act as a critical bridge between our product velocity and the complex, real-world environments of our Fortune 500 customers. Unlike traditional roles, an FDE is embedded within the customer's ecosystem to ensure alignment of Nirmata’s solution to key customer pain points, successful adoption of Nirmata’s solution, delivering value and ROI realization. You will be the single point of contact for all technical matters, providing leadership in architecting and operationalizing Nirmata’s solution. This role is a live R&D loop; you will actively discover hidden workflow gaps and feed field insights back to our Engineering and Product teams to shape the future of the Nirmata platform. Responsibilities - Custom Engineering & Proof of Value: Build working solutions against live production systems to demonstrate provable ROI and actual results tied to specific customer data and environments. - Cloud Native and AI Expert: With Kubernetes becoming the orchestrator of all software and AI, you will be an expert that goes deep in Kubernetes and Nirmata solutions to build and run AI as well as provide expertise to use Nirmata’s AI solutions to customer problems. - Enterprise Implementation: Verify and implement detailed technical design solutions to address complex problems identified by customers, ensuring successful platform adoption. - Technical Leadership: Lead key customer initiatives by understanding business implications and architecting solutions that meet operational, integration, and scaling requirements. - Operational Excellence: Provide design and operational solutions for enterprise adoption of containers, including building necessary tools and automation. - R&D Feedback Loop: Gather field insights and provide clear, constructive product feedback to Nirmata Engineering teams based on real-world customer requirements. - Customer Advocacy: Manage technical escalations and educate customers with deep technical knowledge while documenting best practices for developing and deploying Nirmata solutions. - Value Realization: Assist customers in defining, capturing, and documenting the actual financial value and ROI provided by Nirmata. Qualifications - Experience: 4+ years of professional experience in engineering or technical consulting. - Education: Bachelor of Arts/Science or equivalent degree in Computer Science or a related area of study. - Location: Remote - USA/Canada. Requirements - Kubernetes Internals: Deep, hands-on experience with Kubernetes, containers, and container runtimes is mandatory. We are looking for candidates whose resumes prominently feature expertise in building and managing clusters. - AI: Knowledge of leveraging LLMs, (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques securely and optimally using LLMs within an Enterprise. Ability to implement agentic workflows incorporating Model Context Protocol (MCP), tool-calling, and OAuth-based authentication. - Cloud technologies: Knowledge and expertise in cloud technologies like virtualization, public clouds like AWS, and experience with tools for provisioning cloud resources like Terraform. - Systems Administration: Proficiency in Linux OS administration and management. - Infrastructure: Experience with internal development platforms, including standardizing and securing multi-tenant environments. Knowledge and Skills - Communication: Strong communication skills are mandatory for presenting complex technical prognosis and impact to senior management. - Problem Solving: Ability to diagnose complex technical problems to their root cause in multi-technology environments. - Relationship Management: Essential customer relationship management and account planning skills to ensure alignment with customer priorities. - Consulting Mindset: Ability to adapt a consulting style appropriate to the situation and identify potential upsell opportunities during technical engagements. - Strategic Thinking: Ability to re-use existing experience to develop new solutions and shape technical strategies within the organization and for external customers. Company Description Nirmata empowers organizations to innovate rapidly without compromising security or compliance. With Gartner forecasting that 99% of cloud security failures will result from misconfigurations by 2027, Nirmata's policy-as-code platform offers a proactive solution. Nirmata's highly customizable policies seamlessly integrate with your cloud-native environments, ensuring robust governance and security at scale. Trusted by top financial institutions and global enterprises—and with over 3.2 billion downloads of Kyverno, Nirmata's open source policy engine —Kyverno simplifies compliance, mitigates risk, and accelerates the enterprise journey to secure innovation. Nirmata’s success is built on the diverse contributions of its employees. We're committed to an inclusive workplace where everyone's perspective is valued, and we do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All application information will be kept confidential in accordance with EEO guidelines. Nirmata uses E-Verify for US-based roles, confirming work authorization after a job offer is accepted and the I-9 is completed. If E-Verify can't confirm authorization, we'll provide instructions on contacting DHS or SSA before any action is taken. See the Notice of Right to Work for details. By submitting your application, you acknowledge that Nirmata will process your personal data in accordance with our Privacy Policy.

Role Description Gravitate is looking for a Product Support Engineer I to join our remote Support team. This is a frontline product-support role for someone who can manage a high volume of incoming SaaS support tickets while delivering strong technical troubleshooting, clear customer communication, disciplined triage and escalation, and continuous improvement of our knowledge base and AI-enabled ticket deflection. This is not a basic helpdesk or call-center role. We are looking for someone who can balance speed, accuracy, customer empathy, technical curiosity, documentation discipline, and a continuous-improvement mindset in a fast-moving support environment. The ideal candidate is comfortable working independently in a remote setting, owns customer issues from intake through resolution or escalation, identifies recurring support patterns, and actively contributes to better self-service resources, internal documentation, and support automation. Qualifications - 3+ years of experience in SaaS, software, product support, technical support, or a similar customer-facing support role. - Experience managing a high volume of support tickets in a queue-based environment. - Strong troubleshooting skills with the ability to investigate, document, and resolve customer issues. - Excellent written communication skills, especially in customer-facing ticket responses. - Strong judgment around prioritization, escalation, urgency, and customer impact. - Experience using ticketing systems, knowledge-base tools, CRM systems, or support platforms. - Ability to create and maintain clear documentation, support notes, and reusable knowledge content. - Comfortable working remotely with strong self-management, accountability, and follow-through. - Curious, resourceful, and willing to learn new products, systems, workflows, and tools. - Positive, collaborative approach with a strong desire to help customers and teammates succeed. Requirements - Able to manage multiple concurrent customer issues while balancing speed, accuracy, and customer empathy. - Comfortable working within SLA, severity, escalation, and customer-impact guidelines. - Able to provide clear reproduction steps, business impact, screenshots, logs, and supporting details when escalating issues. - Able to recognize recurring ticket patterns and translate them into knowledge-base improvements, reusable responses, product feedback, or ticket-deflection opportunities. - Comfortable communicating with customers during urgent, ambiguous, or high-friction situations while remaining calm, professional, and solution-oriented. - Demonstrates sound judgment when handling customer data, screenshots, logs, account information, and confidential details. - Comfortable staying current on product releases, known issues, customer workflows, and support best practices. - Able to maintain strong Central Time overlap, reliable availability during core support hours, and comfort collaborating through video calls, screen sharing, and distributed team communication. Benefits - Experience supporting a B2B SaaS product. - Familiarity with SQL, APIs, logs, integrations, data flows, or technical troubleshooting tools. - Experience contributing to customer-facing help centers, internal knowledge bases, macros, or support playbooks. - Experience using AI tools in a support environment for drafting, summarization, documentation, routing, or ticket deflection. - Experience working with Product, Engineering, Customer Success, or Implementation teams. - Ability to identify recurring support themes and recommend scalable improvements. - Experience in a remote-first or distributed team environment. What Success Looks Like in the First 90 Days Within the first 90 days, the Product Support Engineer I should be able to independently manage a high-volume support queue with appropriate prioritization, clear customer communication, accurate ticket notes, and timely follow-through. They should demonstrate sound escalation judgment, contribute updates to internal or customer-facing knowledge-base content, identify recurring ticket patterns, and use approved AI tools responsibly to improve support efficiency, documentation quality, and ticket deflection. Physical Requirements - Ability to sit and work at a desk for extended periods. - Participate in video calls and screen sharing as needed throughout the workday.

Description About the Team The Compression and Parity team in GM's Autonomous Vehicle (AV) Organization enables repeatable, high-velocity model deployments through principled and automated model compression under strict safety guarantees. We partner closely with model developers and deployment and infra engineers to ship numerically robust, low-latency models to the car, blending rigorous analysis with state-of-the-art methods and our own innovations. About the Role Over time, you will help grow and evolve the Compression and Parity function through the following: - Developing and iterating on quantization and compression strategies for our AV models, considering model numerical properties, safety and latency constraints, and hardware performance, and partnering on deployment of quantized models to NVIDIA-based AV hardware with our deployment, compiler, and kernel teams - Advancing our numerical sensitivity analyses to recommend safe compression policies per op/layer/block, using AV-relevant metrics (perception, trajectory, etc.) to evaluate compressed models, and collaborating with Embodied AI to support compression-aware modeling - Evolving sensitivity analysis, compression, and parity tooling into a connected, automated flow that makes low-precision deployments repeatable, reliable, and low-touch, with an emphasis on robust execution and maintainability - Bridging the gap between state-of-the-art model compression research and safety-constrained deployment while making strong technical contributions in cross-functional projects and educating others on best practices Your Skills & Abilities (Required Qualifications) - Bachelor's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Data Science / ML, or a closely related quantitative field (or equivalent experience) - 3+ years of industry experience focused on model optimization and deployment, with significant hands-on work in neural network quantization / model compression / efficient inference or relevant experience - Strong proficiency in PyTorch and experience with graph-level representations (e.g., PyTorch FX, ONNX) for capture and manipulation - Background in numerical linear algebra and optimization (conditioning, spectral properties, Jacobians, Hessians) and how they relate to quantization robustness What Will Give You A Competitive Edge (Preferred Qualifications) - Master's or PhD degree in related quantitative fields - Deep experience with PTQ and QAT, compression frameworks (e.g., PT2E, ModelOpt, torchao) and advanced quantization algorithms (e.g., GPTQ, AWQ, SmoothQuant, QuIP, SparseGPT), as well as with building or extending quantization toolchains - Hands-on experience designing numerics observability and sensitivity tooling integrated into training or evaluation pipelines (logging ranges, saturation, quant noise, etc.) - A track record of collaboration, including leading cross-functional initiatives and mentoring others - Experience with additional compression techniques such as structured/unstructured pruning, low-rank decomposition, or knowledge distillation - Experience with perception and/or transformer-based models (e.g., multi-view encoders, BEV backbones, detection/segmentation heads, trajectory or planning networks), ideally in AV / ADAS - General understanding of kernel performance and optimization for reduced precision formats - Direct experience with specialized hardware accelerators for edge deployment on tight latency and memory budgets (automotive SoCs, robotics platforms, or similar) - Published research, open-source contributions, or other notable, intellectually curious work in quantization, compression, or efficient inference - 3+ years of industry experience focused on model optimization and deployment, with significant hands-on work in neural network quantization / model compression / efficient inference or relevant experience Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. - The salary range for this role: is $128,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #GM-AV-1 This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.