Verified Tech Jobs & Hiring Companies, Updated Every 24 Hours

About Us: Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems. We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications. The Role: At our core, we empower our top talent with the autonomy to craft innovative solutions that make a real difference—helping our users become better, faster, smarter, and more efficient. In our working team model, you’ll move fast and continuously deliver cutting-edge features by collaborating with a cross functional team. This approach gives our AI scientists and engineers full ownership—from ideation and research to experimentation and scaling groundbreaking products and services that directly impact our users’ daily operations. We seek curious, humble, and driven individuals who embrace learning as a fundamental part of their journey. If you’re passionate about pushing AI boundaries and making a meaningful impact alongside a supportive, innovative team, this is the place for you. Responsibilities: Collaborate with stakeholders to identify new AI opportunities and create intelligent AI applications. Lead MVP development using a test-and-learn approach with cross-functional teams. Iterate from problem framing to prototyping and deploying production-grade solutions. Deliver reliable, scalable AI features in production. Build prototypes and develop data pipelines for deployment. Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback. Clearly communicate efforts and impact to both technical and business audiences. Qualifications: Currently enrolled in a Master’s of PhD program in C omputational Data Science, Computer Science, Electrical/Computer Engineering, or related fields. A self-starter with the ability to work independently and within a team. Experience in a professional environment, including prior internship experience is preferred. Expertise in the latest Large Language Models (LLMs) and AI advancements. Proactive in staying updated with evolving AI trends and new LLM releases. Skilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset. Strong communication and presentation skills, able to convey complex analysis clearly and actionably. Results-oriented, creative thinker who takes initiative and delivers practical solutions. Committed to inclusivity, respecting diverse perspectives to foster innovation and build great products. Proven expertise in implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models. Familiarity with cloud computing and AI deployment on AWS or Google Cloud. Solid foundation in deep learning, machine learning, statistics, and optimization from coursework or practical experience. Proficient in Python & C++/Java programming through academic or work experience. This is a remote internship with potential travel, depending on location, schedule, and business needs. EOE Statement: Datacor is an Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. Use of AI During Interviews: At Datacor, we value thoughtful problem-solving and authentic perspectives. To ensure a fair and consistent evaluation process, we ask that candidates do not use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise. We're interested in hearing your experience, your approach, and how you think through challenges.

About Us: Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems. We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications. The Role: Datacor is modernizing its flagship ERP platform the enterprise-grade, multi-tenant system that hundreds of process-manufacturing customers run their business on. We are looking for a Senior Full-Stack Software Engineer to deliver end-to-end features, contributing to both the backend services and the web client. You will join a tight-knit engineering team building toward our next major release, working across accounting, inventory, purchasing, sales, and manufacturing modules that serve thousands of customers in the process-manufacturing industry. This role is hands-on. You will design schemas, write services, ship UI, write tests, review PRs, and help drive the architecture forward. You will be expected to be a productive partner to AI-assisted development tools we use Claude Code extensively as part of daily development, and we are looking for engineers who can leverage these tools while maintaining a high bar for code quality and architectural judgment. Responsibilities: Build and ship features end-to-end from database schema and backend services through to the user-facing web client . Design new domain modules using our established architectural patterns and conventions. Own multi-tenant correctness by writing migrations that comply with Row-Level Security, respecting the RLS transaction context in queries, and following the persist/flush discipline. Integrate with shared platform services background jobs, real-time updates, file storage, email, document intelligence, and authentication and authorization. Leverage AI tools effectively use Claude Code (and similar) to accelerate routine work, while exercising judgment on what to accept, adapt, or reject. Raise the bar on quality through code review, type-safety, performance discipline (no N+1 queries, lazy loading, parallel APIs), and adherence to our trunk-based development workflow. Collaborate cross-functionally with product managers, tech leads, QA, UX, and domain experts to translate functional requirements into well-designed software. Contribute to platform evolution propose improvements to shared libraries (DTOs, validation rules, i18n, shared constants), the metadata system, and developer tooling. Qualifications Required: 5+ years of professional software engineering experience building production web applications. Strong TypeScript across both frontend and backend, with comfort moving fluidly between the two. Solid React experience (hooks, component composition, performance, state management) in a non-trivial application. Server-side experience with Node.js and a structured framework NestJS preferred; Express, Fastify, or comparable accepted. Relational database fluency PostgreSQL preferred, including schema design, indexing, and writing migrations. Familiarity with an ORM (MikroORM, TypeORM, Prisma, Hibernate, etc.). Multi-tenant or SaaS experience and an understanding of why tenant isolation matters (RLS, scoped queries, or equivalent approaches). Modern delivery practices Git, pull requests, CI/CD, code review, testing, and trunk-based or short-lived-branch workflows. Demonstrated productivity with AI coding assistants (Claude Code, Cursor, Copilot, or similar). You can describe concrete examples of how you use them, where they help, and where you override them. Strong communication written, verbal, and in code reviews. You can explain trade-offs, push back constructively, and document decisions. Preferred: ERP or business-application domain knowledge general ledger, AR/AP, inventory, purchasing, sales orders, bank reconciliation, or process-manufacturing concepts. This is a meaningful plus; we can teach the domain, but prior exposure shortens ramp-up. Process-manufacturing experience (chemicals, food and beverage, coatings, etc.) or familiarity with formulation, lot tracking, or compliance requirements. AWS hands-on experience with ECS, RDS, S3, CDK, or Bedrock. Document intelligence, RAG, or LLM integration in a production system. Internationalization and accessibility experience in a multi-locale product. EOE Statement: Datacor is an Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. Use of AI During Interviews: At Datacor, we value thoughtful problem-solving and authentic perspectives. To ensure a fair and consistent evaluation process, we ask that candidates do not use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise. We're interested in hearing your experience, your approach, and how you think through challenges.

About Us: Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems. We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications. GoldSim, a Datacor company, is the world leader in dynamic simulation software for water resources, environmental systems, and complex engineering problems. Our customers use GoldSim to model some of the most challenging questions in engineering and science from managing critical water supplies to assessing the long-term safety of environmental systems. We are looking for a Lead Software Engineer who brings deep technical expertise, strong initiative, and a passion for building software that lasts. In this role you will help shape the next generation of our simulation platform and push the boundaries of what engineering simulation can do. The Role As a Lead Software Engineer, you will provide technical leadership across the core subsystems of our simulation platform. You will guide architectural decisions, champion modern engineering practices, lead the delivery of complex features, and safeguard the long-term health of the codebase. You will operate with significant autonomy and act as a trusted expert in your domain. What You'll Do Architecture & Modernization Shape the architecture of core platform subsystems, including UI frameworks, calculation engines, file systems, APIs, and licensing. Evaluate design options, weigh trade-offs, and ensure long-term performance, scalability, security, and maintainability. Drive consistency in design patterns and engineering standards across the codebase. Execution & Delivery Own the technical delivery of features from initial design through release. Translate business and product requirements into technical spec ification s . Lead investigations into complex bugs, performance issues, and cross-module interactions. Quality & Support Conduct code reviews and coach engineers on writing maintainable, scalable code. Partner with QA on test strategy and provide technical analysis during triage. Serve as an escalation point for the Support team on advanced technical issues. Collaboration & Knowledge Sharing Contribute technical input during roadmap planning and surface technical-debt concerns. Collaborate on QA automation efforts and CI/CD pipeline improvements . Document designs and share knowledge across the team. Partner with the founding engineer to document and scale institutional knowledge to enable future team growth What You'll Bring Required Bachelor's degree in Computer Science or a related field, or equivalent practical experience. 5+ years of experience in desktop software development. Proficiency in modern C++ (C++14 or later). Experience developing Windows applications with Visual Studio (2019 or later). Experience working in large, legacy codebases with established patterns. Strong debugging and critical-thinking skills for complex, multi-module systems. Ability to communicate technical concepts clearly to Product Managers, QA, Support, and engineering peers. Experience with AI- assited assisted development tools (Claude Code, Cursor, Copilot) Preferred Familiarity with Microsoft Foundation Classes (MFC) for Windows UI development. Experience with large, multi-component build systems and automation. Experience with modern licensing platforms (e.g., FlexNet). Experience with modern numerical libraries. Understanding of Windows system administration and desktop deployment. Experience porting C/C++ code to modern C++ and 64-bit and other major modernization projects . Experience with object serialization and structured data formats (e.g., XML, JSON). Understanding of COM, including interfaces, IDL, COM DLLs, and registration. Experience with relational databases (e.g., ODBC). Interest in applying ML to simulation Why GoldSim Join a team where your work directly shapes software that engineers and scientists rely on around the world. You'll take on meaningful technical challenges, enjoy real autonomy, and help define the future of a product with a global reputation for excellence. We have offices across the US where you have the opportunity to come in as you would like including one in Seattle. EOE Statement: Datacor is an Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. Use of AI During Interviews: At Datacor, we value thoughtful problem-solving and authentic perspectives. To ensure a fair and consistent evaluation process, we ask that candidates do not use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise. We're interested in hearing your experience, your approach, and how you think through challenges.