Technical Solutions Specialist Jobs

NOTE ON ELIGIBILITY : this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads ). About the role In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index. This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school. What you will do Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them. Ship to production continuously. New engineers typically have code in front of users in their first week. Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong. Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives. Raise the quality bar on reliability, latency, and craft for the surfaces you own. Work directly with designers, PMs, and research engineers, without unnecessary process in between. What we look for 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale. Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data m

Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities Relentlessly push search quality forward — through models, data, tools, or any other leverage available Architect and build core components of the search platform and model stack Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval Deploy models — from boosting algorithms to LLMs — in a scalable and performant way Build and optimize RAG pipelines for grounding and answer generation Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery Qualifications Deep understanding of search and retrieval systems, including quality evaluation principles and metrics Proven track record with large-scale search or recommender systems Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR) Self-driven, with a strong sense of ownership and execution Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll set technical direction for the primitives that other teams (filesystems, training, sandboxes) build on, balancing durability, latency, throughput, and cost. You'll own the roadmap from today's hardest problems (garbage collection at petabyte scale, active-active replication, rate limiting that protects the upstream without wasting ut

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll own the full lifecycle of a machine, from accepting and benchmarking new hardware from a growing set of providers, to network bring-up, kernel and image management, GPU and disk health tracking, and automated remediation of unhealthy hosts. You'll manage a team of 3–8 engineers while staying hands-on across the stack which involves BMCs, firmware, PXE, bootloaders, Linux networking, drivers, and distributed control-plane services, and you'll shape our long-

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll automate the integration of new capacity from a growing set of hardware providers; from auditing and benchmarking hosts and clusters, to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You'll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You'll dig into whatever is between the hardware and the software that runs on top of it, whether that is a kern

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collection over billions of objects. You'

ACS/Workstation Technical Support Representative Description - Job Summary • This role is responsible for independently handling complex customer issues, resolving intricate technical problems related to hardware and software, and providing comprehensive responses about services, products, and technical matters. The role guides customers proactively and maintains customer relationships, while also coordinating work and leading complex requests. The role also contributes to process improvements, and mentors lower-level roles for optimal organizational performance. Responsibilities • Addresses complex customer issues independently, ensuring adherence to established protocols. • Resolves difficult and complex technical problems related to hardware and software through interactions with customers and proactive notification systems. • Provides comprehensive responses to questions about services, products, technical matters, and customer relations, including features, specifications, and repairs, for both current and obsolete products, components, and options, in alignment with customer entitlement, such as warranty coverage through mission-critical support. • Guides customers proactively to mitigate or prevent the occurrence of problems, while also participating in initiatives aimed at enhancing processes or ensuring quality improvements. • Establishes and maintains trusted relationships within customer accounts across the spectrum of technical users. • Provides resolutions and feedback by performing root cause analysis of outages and trends to address issues promptly and effectively. • Coordinates departmental work, identifies improvement opportunities, and ensures effective business controls for streamlined processes. • Leads and assigns responsibilities for complex requests, contributing innovative concepts, and implementing ch

Senior Field Technical Support Consultant Description - The Senior Field Technical Support Consultant is responsible for driving technical escalation management, service quality improvement, partner enablement, operational governance, and customer satisfaction across HP India operations. The role serves as a key technical advisor and escalation leader, collaborating with Field Operations, ATS, Care Center, Supply Chain, Quality, Engineering, and business stakeholders to resolve complex customer issues, improve service delivery performance, and drive continuous operational improvement. Key Responsibilities Service Quality & Operational Excellence Monitor and improve key service metrics including RR30, PPSNC, AIR, AFR, CE Scorecard, and repair quality indicators. Identify operational improvement opportunities through data analysis and trend reviews. Develop and implement corrective action plans to improve overall service performance. Support cost reduction, waste elimination, and serviceability improvement initiatives. Partner Enablement & Capability Development Design and conduct technical, process, and quality training programs for HP partners and subcontractors. Lead Train-the-Trainer (TTT) initiatives, field coaching, audits, and ride-along programs. Develop SOPs, knowledge articles, troubleshooting guides, checklists, and customer education materials. Drive partner readiness for new products, diagnostics, and service processes. Customer Experience & Governance Work closely with strategic customers and account teams to resolve business-critical issues. Improve customer experience through proactive communication, technical advisories, and escalation management. Ensure warranty compliance, service policy adherenc

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join our team as a Senior SSD Firmware Lead / Architect and help define the future of data storage. In this role, you will lead the architecture and development of firmware for our industry-leading DirectFlash™ SSD Modules, which power Pure Storage platforms used by both enterprise and hyperscale customers. You will work closely with hardware engineers, controller vendors, and systems teams to design firmware architecture, bring up new hardware platforms, and improve performance and reliability. WHAT YOU'LL DO Define and drive the firmware architecture for next-generation DirectFlash™ SSD modules, including subsystem design, firmware modularization, and system integration. Work with controller vendors and hardware teams to bring up new SSD controller SoCs and enable features such as PCIe, NAND interfaces, power-loss protection, and telemetry. Develop firmware components supporting NVMe and OCP SSD specifications, ensuring compliance, performance, and interoperability. Debug complex cross-layer issues involving firmware, controller hardware, NAND media, and host systems. Improve SSD data path performance and latency through firmware design and analysis. Review designs, mentor engineers, and improve development tools, testing, and automation. WHAT YOU BRING Extensive experience developing SSD firmware for enterprise or hyperscale systems, with strong knowledge of SSD architecture and controller design. Solid underst

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Pipeline Engineering team at Everpure™ as a Full Stack Software Engineer to build and scale the pipeline visibility layer for FlashArray, FlashBlade, and Hyperscale — the core platform through which engineers and customers understand and act on CI results . In this high-impact position, you will own responsive web interfaces, API gateway architecture, and AI-assisted workflows that convert raw pipeline data into actionable signal, eliminating operational toil across our engineering organization. WHAT YOU'LL DO Build the Pipeline Visibility Layer: Architect and ship high-performance web applications using modern JavaScript/TypeScript frameworks to deliver real-time pipeline status, test results, and failure analytics at enterprise scale. Own Gateway & Backend Services: Develop and operate low-latency API gateways and backend microservices using typed systems languages (such as Go or Rust) to aggregate data across systems, enforce strict multi-tenant boundaries, and maintain reliable system contracts. Deliver Secure Access Controls: Implement robust authentication and authorization protocols (OAuth2/OIDC, SSO, RBAC) to ensure internal teams and external customers experience seamlessly scoped and fully audited access. Integrate AI Triage Workflows: Engineer retrieval-augmented generation (RAG) pipelines and LLM integrations over test metadata and failure logs to automate root-cause summaries, flak

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Role Overview As the Okta Research & Design (ORD) Jira Owner & Administrator , nested within the Technical Program Management (TPM) organization, you will define and execute the strategy for how ORD plans, tracks, and reports on engineering work within the full toolchain of Atlassian Jira, Jira Advanced Roadmaps (Plans), Confluence, Rovo, and AI integrations. In this role, you act as a critical bridge between product & technical leadership, agile teams, and cross-functional business units — translating methodology, best practices, and process frameworks into practical workflow improvements that accelerate delivery and reduce manual overhead for a 1,000+ person engineering, product, and design organization. By optimizing tooling configurations, automating reporting, and eliminating fragmented management processes, you will directly accelerate ORD’s developer velocity and strengthen operational efficiency. Core Responsibilities 1. Platform Ownership & Strategic Tooling Direction Strategic Vision: Define, implement, govern an AI-led strategy for utilizing Jira for product planning, tracking, and reporting tooling that supports end-to-end portfolio tracking from high-level corporate objectives down to sprint-level stories. E2E Ecosystem Management: Complete ORD ownership of the toolchain (Jira, Jira advanced Roadmaps, AI integrations, Confluence), overseeing architecture, schema updates, workflow management, screen/notification schemes, cu

Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. Responsibilities Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages Develop streaming and batch data processing with YT systems for search index construction in a high-load environment Push the limits of hardware performance through low-level optimizations and systems-level tuning Tackle challenges in multithreading, concurrency, and system-level optimization Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages Develop streaming and batch data processing systems for search index construction in a high-load environment Push the limits of hardware performance through low-level optimizations and systems-level tuning Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) Ownership of full project lifecycle you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production Knowledge of Python or other scripting languages Knowledge of Data processing systems (YT/Kafka/Hadoop) Passion for writing clean, efficient, and scalable systems-level code Strong knowledge of algorithms and data structures, and the ability to apply them effectively Deep understanding of multithreading, including various approaches, challenges, and trade-offs Experience building high-load, distributed, and hardware-adjacent services Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) Familiarity with low-level optimization techniques (memory management,

The Opportunity Adobe seeks a Head of External Reporting and Technical Accounting, ESG Controller to join our finance leadership team. This highly visible, critical role will report to the Senior Director, Global Accounting, Reporting and Revenue Assurance and lead our External Reporting & Equity Accounting, Technical Accounting, and ESG Regulatory Reporting teams. This role will also lead the full Mergers & Acquisitions (“M&A”) cycle for accounting, from advising on deal structure and performing due diligence to overseeing the accounting valuation process and advising the record-to-report finance integration workstream. Key to success will be your ability to partner and influence cross functionally with our Revenue, Tax, Treasury, FP&A, Legal, Investor Relations, Corporate Social Responsibility and Employee Experience teams. What you'll Do Lead the external reporting team on drafting and filing all financial documents and SEC filings Coordinate with Investor Relations, Corporate Legal and senior leaders to review our earnings documents, including drafting the most complex or unique matters in a simple, easy, and understandable way Serve as trusted technical accounting advisor for complex transactions under existing or future rules, including overseeing policy updates for FASB pronouncements and SEC rules Assess the impact of proposed accounting pronouncements and standards to ensure compliance with SEC and GAAP reporting requirements and provide educational trainings to impacted stakeholders Own the global consolidated audit process to resolve issues and avoid delays Advise corporate development and legal teams on the accounting treatment for potential deals and strategic investments (i.e., asset acquisitions, business combinations, and VIE/VOE considerations) Cross-functionally manage the end-to-end financial due diligence for M&A transactions <l

P-1489 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role We are seeking a Senior Staff Technical Program Manager to own and lead a company-wide portfolio of security programs spanning Trust & Safety Engineering, Identity and Access Management, Platform Security, Security Operations, Product Security, and IT. This role will take a major security risk portfolio from strategy to measurable risk reduction by driving prioritization, architecture alignment, investment planning, execution, adoption, and operationalization. The scope connects customer-facing product security with internal engineering and enterprise controls across Databricks’ product, corporate, and Databricks-on-Databricks environments. Success means advancing a complex security domain, creating clarity where direction is incomplete, and materially improving Databricks’ security posture, customer trust, and ability to operate at scale. The TPM will structure ambiguous problems, evaluate technical and resourcing tradeoffs, establish durable decision mechanisms, and align VP- and Director-level organizations with competing priorities and shared dependencies. This is an executive-facing role and a trusted partner to C-suite executives, VPs of Engineering and Product, Security executives, and senior architects. The TPM will communicate risk, options, decisions, progress, and escal

P-1489 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role We are seeking a Senior Staff Technical Program Manager to own and lead a company-wide portfolio of security programs spanning Trust & Safety Engineering, Identity and Access Management, Platform Security, Security Operations, Product Security, and IT. This role will take a major security risk portfolio from strategy to measurable risk reduction by driving prioritization, architecture alignment, investment planning, execution, adoption, and operationalization. The scope connects customer-facing product security with internal engineering and enterprise controls across Databricks’ product, corporate, and Databricks-on-Databricks environments. Success means advancing a complex security domain, creating clarity where direction is incomplete, and materially improving Databricks’ security posture, customer trust, and ability to operate at scale. The TPM will structure ambiguous problems, evaluate technical and resourcing tradeoffs, establish durable decision mechanisms, and align VP- and Director-level organizations with competing priorities and shared dependencies. This is an executive-facing role and a trusted partner to C-suite executives, VPs of Engineering and Product, Security executives, and senior architects. The TPM will communicate risk, options, decisions, progress, and escal