Production Operator And Manual Assembler Positions Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We're hiring Software Engineers for our Data Platform team to build and evolve Snowflake's real-time stream processing and data transformation platform. If you've built or researched high-throughput streaming systems or scalable transformation engines - in industry or graduate work - we want to talk. AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL: Design and implement low-latency stream processing and in-flight data transformation systems at global scale Own correctness and performance of streaming execution (watermarks, exactly-once delivery, out-of-order handling) Build transformation primitives and operators that run reliably at cloud-scale throughput Contribute to architectural decisions for our next-generation streaming and transformation platform Write production-quality systems code and collaborate across product and engineering teams OUR IDEAL CANDIDATE WILL HAVE: BS/MS/PhD in Computer Science or related field — graduate research in streaming, distributed systems, or query/transformation engines is a strong differentiator Deep distributed systems fundamentals: fault tolerance, consistency, state management Hands-on or experience with stream processing or transformation systems (Flink, Kafka Streams, Spark Structured Streaming, or similar) Proficiency i

Manager- Cluster - Printing ensures overall supervision of printing process and machine operators that includes operators training, operators deployment, making SOPs, work instructions, check lists for machine, process flow and production, hence to ensure a successful & safe operation in the shop floor as per production plan. The senior engineer also responsible for maintaining, controlling equipment and material movement within the operating scope and as per work instructions / standard operating procedures. Source: Adani Group | Job ID: 60296

The Shift Engineer - Cluster - Wetline ensures overall supervision of production flow and machine operators that includes operators training, operators deployment, making SOPs, work instructions, check lists for machine, process flow and production, hence to ensure a successful & safe operation in the shop floor as per production plan. The senior engineer also responsible for maintaining, controlling equipment and material movement within the operating scope and as per work instructions / standard operating procedures. Source: Adani Group | Job ID: 49029

The Shift Engineer - Cluster - Printing ensures overall supervision of printing process and machine operators that includes operators training, operators deployment, making SOPs, work instructions, check lists for machine, process flow and production, hence to ensure a successful & safe operation in the shop floor as per production plan. The senior engineer also responsible for maintaining, controlling equipment and material movement within the operating scope and as per work instructions / standard operating procedures. Source: Adani Group | Job ID: 55678

The Shift Engineer - Cluster - Printing ensures overall supervision of printing process and machine operators that includes operators training, operators deployment, making SOPs, work instructions, check lists for machine, process flow and production, hence to ensure a successful & safe operation in the shop floor as per production plan. The senior engineer also responsible for maintaining, controlling equipment and material movement within the operating scope and as per work instructions / standard operating procedures. Source: Adani Group | Job ID: 58793

The Shift Engineer - Cluster - Printing ensures overall supervision of printing process and machine operators that includes operators training, operators deployment, making SOPs, work instructions, check lists for machine, process flow and production, hence to ensure a successful & safe operation in the shop floor as per production plan. The senior engineer also responsible for maintaining, controlling equipment and material movement within the operating scope and as per work instructions / standard operating procedures. Source: Adani Group | Job ID: 58796

Join Cluster Scalability, one of MongoDB's Online Transaction Processing teams, and help build the core infrastructure that makes MongoDB a world-class distributed database. The team builds the infrastructure and tools that let customers scale their workloads past what a single node can handle. We take pride in building clean abstractions over hard distributed systems problems, so users can focus on their data instead of worrying about where it lives or how it's accessed. Our work has a big impact: it solves the hardest data challenges faced by MongoDB's largest customers. As a Senior Software Engineer on Cluster Scalability, you'll work on data partitioning, one of the hardest and most impactful problem areas at MongoDB today. You'll collaboratively design and build the distributed machinery that turns independent query-processing and storage nodes into a single, unified database system. Your team’s work will be to build the data-movement and dynamic-scaling features that run on top of it. Current work includes seamless horizontal scaling with minimal tradeoffs, better cluster elasticity and smarter workload execution. You'll solve complex performance problems and design protocols for moving and placing data without disruption. Your work will help the architecture scale reliably to meet customer demand at any volume. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. This role can be based remotely in British Columbia or Ontario, Canada. Candidate Profile 5+ years of experience building distributed systems Experience with building production-level code with a large user base, robust design structure and rigorous code quality, written in C++. Degree in Computer Science or similar field,

Join Cluster Scalability, one of MongoDB's Online Transaction Processing teams, and help build the core infrastructure that makes MongoDB a world-class distributed database. The team builds the infrastructure and tools that let customers scale their workloads past what a single node can handle. We take pride in building clean abstractions over hard distributed systems problems, so users can focus on their data instead of worrying about where it lives or how it's accessed. Our work has a big impact: it solves the hardest data challenges faced by MongoDB's largest customers. As a Senior Software Engineer on Cluster Scalability, you'll work on data partitioning, one of the hardest and most impactful problem areas at MongoDB today. You'll collaboratively design and build the distributed machinery that turns independent query-processing and storage nodes into a single, unified database system. Your team’s work will be to build the data-movement and dynamic-scaling features that run on top of it. Current work includes seamless horizontal scaling with minimal tradeoffs, better cluster elasticity and smarter workload execution. You'll solve complex performance problems and design protocols for moving and placing data without disruption. Your work will help the architecture scale reliably to meet customer demand at any volume. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. This role can be based remotely in the United States. Candidate Profile 5+ years of experience building distributed systems Experience with building production-level code with a large user base, robust design structure and rigorous code quality, written in C++. Degree in Computer Science or similar field, or equivalent practical

Who we are Lab37 Robotics is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. What you’ll do Own GTM strategy: Build out and evolve use cases, value proposition, pricing and terms as Bowl Builder scales into large scale deployment Own the sales process: Run a disciplined sales motion end to end, from top of funnel through close, with restaurant and foodservice operators Own onboarding and go-live: Build repeatable playbooks to get new customers live and delivering value quickly Own account management: Manage the ongoing customer relationship, ensuring accounts renew, expand and stay healthy Build the GTM function: Stand up the processes, tools and team needed to take Lab37 from a skeleton, borrowed GTM effort to a scalable function with its own playbook What we are looking for 7+ years of experience in consulting, business operations or strategy, or private equity, with direct experience advising on or building GTM strategy Strategic Relationship Building: An epic storyteller and nuanced communicator, seen as trustworthy and likable by restaurant C-levels and executives Food Industry Expertise: Deep restaurant knowledge and a nuanced understanding of key issues and trends, credible going toe to toe with restaurant folk Financial Analysis: Analytical, no stranger to P&Ls, able to lead nuanced conversations on revenue, profit and returns, and can build a labor model from scratch Efficient Project Management: Able to stay on top of parallel work streams, direct various technical teams, and find shortcuts wherever possible Assertive Negotiation: A keen understandin

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 turn deep data insights into better business outcomes. We are the Spark Structured Streaming team, responsible for building stream processing into Apache Spark and the Databricks Data Intelligence Platform. Stream processing is still in its early days, and we're here to build not only state-of-the-art streaming technology but also a best-in-class managed offering for customers to run their streaming workloads. The role We're seeking an experienced Staff Engineer to drive the technical direction of Spark Structured Streaming, spanning both open source and Databricks-specific components. Your mission is to make Spark Structured Streaming the state-of-the-art stream processing engine — adding advanced capabilities such as sophisticated state management and new operators, while re-imagining the engine's architecture to drive improvements for latency, throughput, and cost. What you'll do: Set and drive the technical vision for Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform Design and build core engine capabilities — state management, new operators, and architectural improvements to latency and throughput Raise the bar for engineering quality and operability, building software that is not just high quality but easy to run in production Make company-wide impact by driving stream processing adoption across the Databricks product portfolio Guide long-term architecture and technical-debt decisions, balancing them against the product roadmap Mentor and technically lead engineers on the team, and partner with the Engineering Manager to attract and grow top-tier talent What we look for: BS (or higher) in Computer Science

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Job Description SUMMARY OF POSITION Maintain Fill & Pack equipment in optimal condition to assure normal operation of the packaging line during the filling and packaging activities for liquid anesthetics Desflurane, Isoflurane, Sevoflurane from Halocarbon, Sevoflurane and any other company product in their different trademarks, in compliance with cGMP, FDA regulations, safety and Baxter Health Care Standard Operating Procedures. ESSENTIAL DUTIES AND RESPONSABILITIES 1. Diagnose, troubleshoot, and repair production line machine to maintain the normal operations of the packaging line. Follow and comply with spare parts inventories system as specified by the maintenance department. 2. Assist Fill and Pack operators in the performance of minor troubleshooting and adjustment that will increase line efficiency. 3. Provide maintenance and perform software changes on programmable logic controllers installed in the packaging equipment. Responsible for reporting unrepairable

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

1.Line Management: Assign daily tasks to machine operators, balance workflow across stations, and track output against daily goals. 2.Quality Control: Check stitches and garment cuts at each stage, coordinate with quality inspectors, and reduce defect rates. 3.Team Leadership: Train new or low-skill operators, monitor worker attendance, and enforce factory discipline.

Set up machinery for Urethane Molding Start machinery and make adjustments to machinery when necessary to improve performance Operate machinery and equipment according to instructions Troubleshoot issues and perform production Perform quality control, follow reporting and record keeping procedures, and report problems to operation manager Comply with all safety and health regulations Clean machinery and maintain cleanliness in work area TaylorMade Golf Company is an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, religious creed, color, national origin or ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, pregnancy, gender, gender identity, gender expression, age, sexual orientation, military and veteran status or any other basis protected by federal, state or local law, ordinance, or regulation.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Manage and supervise a production team consisting of skilled operators to meet the department's output, quality and cycle time targets Manages the WIP across Frontend, Backend and SSD operations to ensure smooth material flow Plan daily shift objectives and goals as part of productivity and continuous improvement Communicate handing/taking over duties/issues between shifts Communicating and liaise with Management, Planning and Engineering on daily production issues Nurture operators' career development through coaching and on-the-job training Create and maintain a harmonious and safe working environment that instills teamwork, commitment and ownership in the team Work to create a culture of learning and sharing of Best Known Methods to simplify procedures and process flows Leveraging AI tools to: Retrieve technical information and Support troubleshooting Requirements Bachelor’s degree with 3 or more years of experience in PCBA Manufacturing Industry Able to work with little or no direct supervision Able to handle multiple priorities/tasks efficiently Show leadership qualities Good team player! Fresh Graduate is encourage to apply.