Technical Solutions Specialist Jobs

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the backend systems that make Hark's AI agent actually work — reliable, fast, and production-grade. That means the hard infrastructure problems: high-concurrency services, low-latency streaming, state management for long-running agent workflows, and the execution layer that connects model outputs to real-world actions. You are building the nervous system of an agentic product. This is a high-ownership role on a small team. You'll work directly with model researchers and platform engineers, and the systems you build will determine whether Hark feels like a slow chatbot or something genuinely new. Responsibilities Core Runtime Architecture: Design and build the high-concurrency backend services responsible for agent orchestration, tool execution, and real-time streaming. Systems Reliability: Develop robust failure-handling, retry logic, and state management for long-running agentic workflows. Platform Primitives: Architect the foundational APIs and services—including memory retrieval systems and sandboxed execution environments—that power the entire Hark ecosystem. Performance Engineering: Optimize the stack for low-latency streaming and high-throughput data processing to ensure seamless agent-user interactions. Full-Cycle Owne

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: You will work on the most critical modeling challenges at any given time. You will get clarity on your first project before an offer. BASIC QUALIFICATIONS: You believe truth-seeking AI is the most important and challenging problem. You are obsessed about building incredibly useful models. You are a power user of AI models. If you previously trained models used by millions of people it’s a big plus, but modeling experience is not required. You take pride in your work and thrive in meritocratic environments. COMPENSATION AND BENEFITS: $180,000 - $600,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the iOS experience for Hark: a native app that brings a real-time, multimodal AI agent into people's pockets. That means shipping an app that feels instant, handles streaming AI responses gracefully, and integrates voice, text, and vision into a single coherent experience. The bar is high: this is the primary way millions of people will interact with Hark. This is a high-ownership role on a small team. You'll work directly with designers, platform engineers, and the people building the models. What you ship will define how Hark feels in someone's hand. Responsibilities Build and own the Hark iOS app. Architecture, UI, performance, and the end-to-end experience. Ship features that integrate real-time AI capabilities: streaming responses, voice input, tool invocations, and multimodal interactions. Work closely with designers to craft interfaces that feel fast, polished, and trustworthy. Sweat the details. Optimize for performance at every layer: startup time, animation smoothness, memory efficiency, and network latency. Own components end-to-end, from design and implementation through testing, launch, and iteration. Collaborate with platform and backend engineers on APIs, data contracts, and integration with the agent runtime.

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the platform that powers Hark's AI agent — the runtime, the infrastructure, the primitives. Everything that makes the intelligence actually works in production. That means owning the hard systems problems, such as low-latency streaming, reliable tool execution, memory and context at scale, and orchestration logic that holds up under real usage. You will be building the foundation that everything else runs on. This is a high-ownership role on a small team. You'll work directly with the people building the models and the people shipping the product, and the systems you build will define what's possible for both. Responsibilities Build the core runtime that powers Hark's agent platform. Orchestration, tool execution, memory retrieval, streaming, and the systems that make all of it work reliably together. Own features end-to-end, from early prototyping alongside model researchers to production deployment and iteration based on real usage. Architect the platform primitives that the rest of the product team builds on. Agent runtimes, execution sandboxes, memory APIs, streaming pipelines. Instrument and evaluate the product. Write evals, track quality regressions, and feed signals back into the model and product loop. Work across th

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Team You'll build the product surfaces of Hark — the interfaces and experiences users interact with every day across voice, text, and vision. That means translating what our agent can do into something that feels fast, intuitive, and trustworthy. The gap between a capable AI and one people actually want to use is a product problem, and this role owns it. This is a high-ownership role on a small team. You'll work directly with designers and model researchers, and what you ship will define how people experience Hark. Responsibilities Design and build the product surfaces of Hark. The interfaces, conversations, and agentic experiences that users interact with every day across voice, text, and vision. Work closely with designers to ship interactions that feel fast, reliable, and genuinely useful. The details matter here. Own features end-to-end, from early prototyping to production deployment and iteration based on real usage. Build the frontend for agent workflows that integrate tool use, memory retrieval, and multi-step reasoning. Making model capabilities feel coherent and trustworthy to the person using them. Instrument and evaluate what you ship. Track quality, gather signal, and improve. Requirements Strong frontend engineering fundamentals.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Grok Voice Product team builds seamless, world-class voice experiences for Grok across every platform and product surface. In this role, you will be responsible for designing, building, and shipping voice features across all surfaces. You will have the opportunity to collaborate across iOS, Android, and all product groups. RESPONSIBILITIES: Own backend engineering for scalable, low-latency voice infrastructure and model integrations. Collaborate directly with Grok Voice model, media, and product teams to deliver end-to-end experiences. Drive performance, reliability, and quality of voice interactions at global scale. Move fast across platforms and product groups as a generalist. BASIC QUALIFICATIONS: Proficiency in Python or Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code. Deep interest in voice/audio AI. Strong generalist engineer with backend focus. Hands-on experience shipping features on iOS and/or Android. The ability to work across all product groups and do whatever it takes for best user experience. PREFERRED SKILLS AND EXPERIENCE: Background in AI-driven consumer products or media generation technologies.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content (e.g., synchronized audio for video). Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences. RESPONSIBILITIES: Create and drive engineering agendas to advance multimodal capabilities, with emphasis on image and video generation, editing, understanding, controllable/long-horizon synthesis, agentic planning, RL training, and world simulation (including audio integration for richer video experiences). Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. Design evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: You will join the Grok Main Product team, responsible for the user-facing chat portal at grok.com and related experiences. We build highly scalable frontends, APIs, and features that handle tens of thousands of queries per second. Our focus is delivering the best possible chat interface—seamless, intuitive, and maximally useful—to turn Grok into an essential "everything app" that amplifies human productivity across any domain. Help build the portal that lets users accomplish anything: ask questions, create slide decks, solve puzzles, or tackle real work in engineering, law, medicine, and beyond. We're creating an easy-to-use experience that works flawlessly, driving a 10x increase in what knowledge workers can achieve. No prior AI experience required—just sharp thinking, relentless execution, and passion for AI that redefines what's possible. Own end-to-end features that delight millions, collaborating closely with model and research teams to ship breakthroughs at pace. RESPONSIBILITIES: Design and deliver polished, scalable user-facing features and APIs for Grok's chat experience. Innovate on frameworks for rapid experimentation to iterate quickly and keep Grok

Zoox’s Autonomy Technical Program Management (TPM) team is seeking a leader to manage our autonomy perception TPM team. As the manager of our autonomy perception TPM team, you will partner with management on strategy, roadmapping, improvement of our development & release processes, and guidance of the perception team towards delivering Zoox’s needs. You will be responsible for a team of TPMs and handle performance, mentoring, career growth, retention, and hiring. You and your team will work with the various sub-teams and initiatives within the autonomy software organization and stakeholders across Zoox to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. In this role, you will: Lead an experienced team of TPMs and leverage your technical & managerial skills to deliver high-impact results, while growing the TPM team through hiring & guiding the professional development of team members Set the program management direction for the autonomy perception TPM team, and iterate on our development processes Work with autonomy and perception software department leaders to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables. Create and deliver technical presentations that explain program initiatives to downstream consumer teams Represent the team in cross-departmental forums, with key stakeholders, and in executive meetings Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments Qualifications BS or MS degree in computer science, engineering or equivalent job experience At least 10 years of experience in engineering, program management, or management consulting At least 5 years of experience managing a team of technical program managers Deep familiarity with aut

Job Title: Product Technical Specialist Location: 100% Remote (India) | US Shift US Pacific Timezone, working hours may vary in the hours of 5am-5pm PT depending on current staffing demands About the role: As a Product Technical Specialist, you will be the trusted technical expert for our customers, ensuring they have a seamless and reliable experience with our SaaS platform. This role is for a natural problem-solver who thrives on diving deep into complex technical issues. You will be the backbone of our support operations, diagnosing and resolving intricate problems related to our AWS-hosted environment, networking configurations, and integrated phone systems. You are energized by a fast-paced environment and are passionate about providing world-class support through phone, email, and chat, ready to tackle any challenge that comes your way, including participation in a rotating on-call schedule to provide critical support. Role & Responsibilities: Provide high-quality, real-time technical support to customers via phone, email, and chat, managing multiple issues simultaneously. Analyze, troubleshoot, and tune AI systems to ensure chatbot and voice bot interactions remain highly accurate and effective for credit union members. Explain complex AI functionalities, configurations, and system options directly to clients to ensure they maximize the value of our platform. Identify AI product bugs and anomalies, clearly articulating the underlying technical issues and their direct client impact to Product and Engineering teams. Act as an internal AI subject matter expert, creating documentation and passing along your specialized knowledge to upscale the rest of the support team. Lead technical troubleshooting sessions with customer IT teams, diagnosing and resolving complex issues related to networking (VPNs, firewalls, whitelisting), cloud infrastructure (AWS), and integrated phone systems. Utilize Zendesk to

The role holder will be responsible to own up his individual & professional as Electrical Engineer in Technical Services Department for City Gas Distribution Business in natural Gas Industry. He must be from Oil and Gas Oil and Gas background. Source: Adani Group | Job ID: 44831

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: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and our team. This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale. Responsibilities include: Identifying architectural changes to improve reliability and performance. Fostering a culture of reliability across Modal’s engineering organization. Defining and implementing operational processes such as deployments, upgrades, etc. Operating systems like Kubernetes, Postgres, Redis, etc. Participating in on-call rotations, and responding to production incidents. Requirements: 5+ years of experience writing high-quality production code. 2+ years of on-call experience for critical p

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. Requirements: 5+ years of experience writing high-quality production code Experience building high-performance distributed systems at a large scale (the more battle scars, the better) Strong cloud skills Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) Ability to work in-person in our Stockholm office. Prior experience with Rust is nice to have, but not required. Ability to participate in on-call rotation and respond to production incidents.

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're looking for strong backend engineers who love building a developer tools used by the largest AI companies in the world. You’ll be building for things at scale, but also for new AI workflows that change every day. Requirements: Experience building and shipping modern web applications end-to-end. We care more about what you’ve built than how many years you’ve been building. Comfort working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics. Deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes, training and inference for large language (LLM) and diffusion models. Experience with at least one of: billing/payments systems, B2B SaaS tooling, or enterprise software, or LLM / diffusion models inference and training loads. Strong product instincts; you think about customer problems,

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Summary: Build systems for collection & transformation of complex data sets for use in production systems Collaborate with engineers on building & maintaining back-end services Implement data schema and data management improvements for scale and performance Provide insights into key performance indicators for the product and customer usage Serve as team's authority on data infrastructure, privacy controls and data security Collaborate with appropriate stakeholders to understand user requirements Support efforts for continuous improvement, metrics and test automation Maintain operations of live service as issues arise on a rotational, on-call basis Verify whether data architecture meets security and compliance requirements and expectations .Should be able to fast learn and quickly adapt at rapid pace. java/scala, SQL, Minimum Qualifications: Bachelor's degree in computer science, computer engineering or a related field, or equivalent Experience 6+ years of progressive experience demonstrating strong architecture, programming and engineering skills. Firm grasp of data structures, algorithms with fluency in programming languages like Java, Python, Scala. Strong SQL language and should be able to write complex queries. Strong Airflow like orchestration tools. Demonstrated ability to lead, partner, and collaborate cross functionally across many engineering organizations Experience with streaming technologies such as Apache Spark, Kafka, Flink. Backend experience including Apache Cassandra, MongoDB and relational databases such as Oracle, PostgreSQL AWS/GCP Solid hands on with 4+ years of experience. St