Software Engineer Ml Infrastructure Jobs

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. I. Key Responsibilities:​ Responsible for post-production tasks of advertising videos, promotional films, TV commercials, and related projects. Clearly understand the core concept of pre-production planning, and creatively edit raw footage through secondary creation; interpret cinematic language and reorganize, adapt, or enhance content based on creative briefs, scripts, or copywriting. Independently complete editing, visual effects, color grading, motion graphics, subtitles, and final exports according to project needs. Organize and archive all graphic and video materials, and perform regular backups. II. Qualifications:​ Bachelor’s degree or above, preferably in Animation, Directing, Film & Television Production, or related fields. Familiar with video production workflows; proficient in post-production software such as Premiere Pro, Photoshop, After Effects, Audition, DaVinci Resolve, etc. Strong grasp of thematic creativity, title design, animation, texture, pacing, and color in visual works. Well-versed in a wide range of film/video works; prior experience with international or overseas projects is a plus.

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. I. Key Responsibilities:​ Responsible for post-production tasks of advertising videos, promotional films, TV commercials, and related projects. Clearly understand the core concept of pre-production planning, and creatively edit raw footage through secondary creation; interpret cinematic language and reorganize, adapt, or enhance content based on creative briefs, scripts, or copywriting. Independently complete editing, visual effects, color grading, motion graphics, subtitles, and final exports according to project needs. Organize and archive all graphic and video materials, and perform regular backups. II. Qualifications:​ Bachelor’s degree or above, preferably in Animation, Directing, Film & Television Production, or related fields. Familiar with video production workflows; proficient in post-production software such as Premiere Pro, Photoshop, After Effects, Audition, DaVinci Resolve, etc. Strong grasp of thematic creativity, title design, animation, texture, pacing, and color in visual works. Well-versed in a wide range of film/video works; prior experience with international or overseas projects is a plus.

As a Senior Platform Product Manager focused on AI SDLC Trusted Throughput, you will define and drive the product strategy for enabling safe, reliable software delivery at AI-native scale across Datadog’s Internal Developer Platform. As AI accelerates development velocity and system complexity, you will help evolve SDLC systems from human-supervised workflows to platforms with built-in safety, observability, and correctness guarantees. You will partner closely with engineering, security, and developer platform teams to improve deployment reliability, operational visibility, and governance while enabling both engineers and AI agents to move quickly with confidence. This role offers the opportunity to shape foundational developer infrastructure and influence how AI-powered software delivery operates across Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation Serve as a cross-functional product leader across SDLC Foundations, Security Engineering, and compl

As a TPM for SRE, you will partner with SRE leaders and engineers to scale the platform that underpins all of MongoDB’s cloud products. You will drive program execution, strengthen production reliability practices, and coordinate cross-functional efforts across US and EMEA teams. Success in this role means smoother launches, clearer roadmaps, stronger reliability metrics and an SRE organization that's better-equipped to deliver predictability at scale. This role can be based out of our Dublin or Cork office or remotely in Ireland. What You'll Do Drive Program Planning & Execution – Define program scope, milestones, and success criteria with SRE engineers and leaders. Manage dependencies across platform teams, keep work clearly tracked in Jira, and deliver on time Strengthen Production Reliability – Lead change management and launch readiness programs. Partner with SREs and product teams to define and operationalize SLOs/SLIs, and use incident data, metrics, and capacity signals to drive prioritization and continuous improvement Lead Cross-Functional Coordination – Align SRE with Security, Compliance, Cloud platform, and other engineering teams. Coordinate cross-team incident response, ensure clear follow-through, and build trust as the go-to driver of complex, multi-team efforts Build Scalable Systems & Processes – Design lightweight frameworks and communication patterns that help SRE deliver reliably at scale. Work yourself out of the "hero" role by leaving teams better-equipped to execute independently Requirements 8+ years in technical program management, engineering management, or a comparable technical role partnering with software engineering teams Proven track record leading large-scale, cross-team platform initiatives through ambiguity and change Strong knowledge of production change management, software development lifecycle, and reliability metrics (SLOs, SLIs) Skilled at shaping roadmaps and managing dependencies Able to query and interpret

Role Overview The worldwide data management software market is massive (forecasted to be approximately $82 billion in 2023, growing to approximately $137 billion in 2027). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Technical Services Engineers use their exceptional problem-solving and customer service skills, along with their deep technical experience, to advise customers and solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem; database server, drivers, cloud, and infrastructure, including services such as Atlas (database as a service) or Cloud Manager (for automation, backup, and monitoring of MongoDB systems). We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. We are looking to speak to candidates who are based in Bangalore for our hybrid working model. Position Expectations Working alongside our largest customers, solving their complex challenges, resolving questions on architecture, performance, recovery, security, and everything in between. Expert resource on best practices in running MongoDB at scale, whatever that scale may be. Advocate for customers' needs, interfacing with our product management and development teams on their behalf. Contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. Qualifications We welcome all candidates, especially those who are self‑taught, curious, and multi‑faceted, with 3 - 5 years of relevant experience. The ideal candidates should have: &lt

Roles and Responsibilities Own the architecture of Myntra’s new product platforms to drive business results Drive and own the architecture and design of some of the most advanced & complex software systems / products in the industry to create company wide impact Help build, mentor and coach a team of very talented Engineers, Architects, Quality engineers, System Operation Engineers and DevOps engineers in architectural and design best practices Experience in distributed systems, cloud service development, deployment and delivery Accountable for the design, for the ease of evolution, quality of the systems, performance, scaling, and availability characteristics and limitations of the systems Envision and develop the long-term architectural direction, with emphasis on platforms/ reusable components while adopting an agile delivery process. Establish structures and processes that ensure a high level of quality and reliability and extensibility of deliverables Drive the creation of next generation extensible web, mobile and fashion commerce platforms, security protocols, customisation and tools to support continuous scaling, internationalisation and platform extensions Drive code and design reviews of components / systems / products in scope and drives the architectural governance for them Set directional paths for the teams/department for adoption of new technology stacks for solving business problems Represent multiple technology domains and Myntra in external technical forums Work with product management, business stakeholders and other engineering leaders to help define mid-term, long-term roadmaps and shape business directions Initiate and deliver leadership training within the engineering organisation, including training new managers, and drive the growth of leaders to create a strong leadership bench. Qualifications & Experience 8+ years of experience in software product development Must have a d

Own the architecture of Myntra’s new product platforms to drive business results Drive and own the architecture and design of some of the most advanced & complex software systems / products in the industry to create company wide impact Help build, mentor and coach a team of very talented Engineers, Architects, Quality engineers, System Operation Engineers and DevOps engineers in architectural and design best practices Experience in distributed systems, cloud service development, deployment and delivery Accountable for the design, for the ease of evolution, quality of the systems, performance, scaling, and availability characteristics and limitations of the systems Envision and develop the long-term architectural direction, with emphasis on platforms/ reusable components while adopting an agile delivery process. Establish structures and processes that ensure a high level of quality and reliability and extensibility of deliverables Drive the creation of next generation extensible web, mobile and fashion commerce platforms, security protocols, customisation and tools to support continuous scaling, internationalisation and platform extensions Drive code and design reviews of components / systems / products in scope and drives the architectural governance for them Set directional paths for the teams/department for adoption of new technology stacks for solving business problems Represent multiple technology domains and Myntra in external technical forums Work with product management, business stakeholders and other engineering leaders to help define mid-term, long-term roadmaps and shape business directions Initiate and deliver leadership training within the engineering organisation, including training new managers, and drive the growth of leaders to create a strong leadership bench. Qualifications & Experience 8+ years of experience in software product development Must have a degree in Computer Science o

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About The Role We’re looking for a Technical Program Manager who can work across engineering, product, and business teams. You’ll bring the technical judgment to earn engineers’ trust and the ability to create clarity and momentum across complex programs. This is a hands-on role with executive visibility and direct impact on how Ramp’s engineering organization scales. You’re energized by complexity and curious about how AI can improve the way engineering teams work. You experiment with AI tools yourself, understand how they are changing software development, and bring that perspective to the programs you lead. What You’ll Do Lead large technical programs across engineering and partner teams, from infrastructure scaling to reliability and incident response. Connect platform and product engineering teams, keep context flowing, surface dependencies, and drive effective execution. Own programs from scoping and kickoff through delivery, measurement, and retrospective. Partner with engineering leaders on roadmaps, identify how projects overlap or depend o

Senior Data Scientist [Data] • [Vancouver, BC] We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products. Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement Act as the data lead for specific AI features at Asana with product and engineering Use data analysis and data storytelling to identify key product opportunities for the roadmap Design experiments that measure product progress, and own key performance metrics. Collaborate with fellow Data Scientists in the team to research, identify and disseminate b

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers. As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing

Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that enable exceptional member and provider experiences. The Director, Segment Quality Engineering is a strategic technology leader responsible for advancing quality engineering practices across a defined portion of Humana’s technology portfolio. Reporting to the AVP, Quality Engineering – Segment, this role will lead teams responsible for delivery quality, test automation, release readiness, and continuous improvement across multiple product and application teams. This leader will work closely with Product, Engineering, Architecture, Platform, DevOps, and enterprise quality partners to embed quality throughout the software development lifecycle and improve release confidence, delivery speed, and production stability. Responsibilities Lead quality engineering execution across a defined portfolio, domain, or set of technology products and applications. Build, develop, and coach high-performing quality engineering teams, including managers, leads, engineers, and SDETs. Drive consistent quality engineering practices across agile teams, with a focus on built-in quality and shared accountability. Oversee quality planning and execution across functional, integration, end-to-end, and regression testing. Partner with Engineering and DevOps teams to support release readiness, validation, and stable production deployments.

We are looking for a Principal Architect for SoC and System performance modelling. The NVIDIA Architecture Modeling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our SoC and Systems architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip & system architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of SoC & Systems algorithms and features Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models Familiarize with the different models (functional and performance) that are used at NVIDIA and help with feature implementation as required. Develop tests, test plans, and testing infrastructure for new architectures/features and code coverage analysis and reporting Mentor early engineers and help sustain good coding practices. Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change What we need to see: Bachelor's Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) 15+ years of relevant work experience or MS with 12+ years of experience or PhD with 7+ years of experience Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)

We are now looking for a Senior Architect for GPUs and SoCs: The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of graphics and / or SOC algorithms and features Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models Familiarize with the different models (functional and performance) that are used at Nvidia and help with feature implementation as required. Develop tests, test plans, and testing infrastructure for new architectures/features. Code coverage analysis and reporting Mentor younger engineers and help sustain good coding practices. Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change Help develop AI based tools to increase efficiency. What we need to see: Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) 8+ years of relevant work experience or MS with 5+ years of experience or PhD with 2+ years of experience Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GC

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. Our internship program at Sigma: As an Intern at Sigma, you’ll work on documentation for various production features and learn best practices of developing user assistance for enterprise software in a fast-paced release environment. Our interns work directly with our engineers, product leaders, and designers across the organization everyday. We’re looking for students who bring curiosity, a spirit for collaboration, and a desire for shaping the future of agentic workflows for app development, business insights, and data exploration. Internship Program Qualifications: Current student : Applicants must be currently enrolled in a university undergraduate or graduate degree program in the U.S with a graduation date of December 2027 or later Able to intern from June 2027 through August 2027 (flexible) Authorization : You must be legally authorized to work in the US during the Summer 2027 program Visa sponsorship is not available for our internship positions, but we welcome applicants on a student visa (with authorization to work in the U.S.) to apply Location: Applicants must be able to work in-person in our office in San Francisco, CA or New York, NY for the duration of their internship. Relocation assistance will be provided for students who will need to relocate for the summer in the form of a relocation bonus. About the role: As a Technical Writing Intern , you will test and document new product features that help our global user base analyze and gather insights from their data. During your internship, you’ll partner directly

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary : Equipment Technicians are responsible for monitoring, sustaining, and improving the equipment in their assigned area, while working in partnership with Shift Operations team members, area equipment engineers and tool vendors. Equipment Technicians monitor tool performance, schedule and perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to repair equipment issues. Main Responsibilities : • Performs electrical or mechanical troubleshooting to determine problems in non-functioning electro-mechanical equipment used in the manufacturing process • Dismantles, adjusts, repairs and assembles equipment according to layout plans, blueprints, operating or repair manuals, rough sketches or drawings • Uses test and diagnostic equipment to perform checkouts. • Rebuilds manufacturing equipment as required • May perform equipment modifications as directed by engineers. Minimum Required Qualifications/Experience Diploma in Engineering. Mechanical/Electrical/Electronic Engineering is preferred Able to work on 12 hours rotating shift. No experience required, training will be provided</s