Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

AI Engineer (Entry-Level / Associate)

Location: Baltimore, MD | Practice Area: Technology & Engineering | Type: Permanent

Build the next generation of AI-powered applications using cutting-edge technologies and real-world impact

The Role

We are seeking an early-career AI Engineer to join our growing Technology & Engineering practice. This role offers the opportunity to work hands-on with generative AI, foundation models, and modern full-stack development while being supported by experienced engineers. You will contribute to building intelligent applications that solve real business challenges across financial services, with exposure to front, middle, and back-office operations transformation initiatives.

The ideal candidate will combine technical curiosity with an understanding of financial services operations, helping clients reinvent and optimize operational processes through AI-enabled solutions while supporting business analysis, feature reporting, and stakeholder collaboration.

What You’ll Do

• Support the design and development of applications leveraging foundation models (LLMs, multimodal AI) and intelligent automation capabilities
• Experiment with generative AI techniques including RAG and prompt engineering under guidance to solve operational and business challenges
• Contribute to building AI agents and workflows using frameworks such as LangChain or Semantic Kernel
• Assist in developing full-stack applications and APIs integrating AI capabilities across front, middle, and back-office financial services operations
• Collaborate in agile teams while contributing to testing, deployment, process reinvention initiatives, and feature reporting activities

What We’re Looking For

• Bachelor’s degree in Computer Science, AI, Data Science, or equivalent practical training
• Proficiency in Python and familiarity with at least one AI/ML framework (e.g., PyTorch, TensorFlow)
• Foundational experience with generative AI, LLMs, and hands-on experience with RAG through academic, internship, or personal projects
• Understanding of financial services operations across front, middle, or back-office functions, with the ability to identify opportunities for process improvement and support business analysis activities
• Strong communication and collaboration skills with a proactive approach to learning, stakeholder engagement, and reporting on business and technical features

Bonus Points For

• Experience with tools or frameworks such as LangChain, AutoGen, Semantic Kernel, or OpenAI APIs
• Exposure to front-end or back-end technologies including React, JavaScript, Node.js, or FastAPI
• Knowledge of vector databases, data pipelines, APIs, cloud concepts, Git, and CI/CD practices
• Familiarity with deploying AI/ML workloads on AWS, Azure, or GCP
• Internship or hands-on project experience within AI, machine learning, or financial services technology environments

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

Benefits

• Medical, Dental, Vision coverage
• 401(k) with employer match
• Paid parental leave and dependent care support
• Tuition and wellness reimbursement programs
• Access to employee discount platforms, HSA/FSA, and commuter benefits

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

We are looking add a Sales Engineer supporting the Mid Atlantic Region (DMV) to be the technical resource for Cato Network’s field sales force. In this role, you will actively drive and manage the technology evaluation stage of the sales process, working in conjunction with the sales team as the key technical advisor and product advocate for our solutions. You should be skilled at building relationships and explaining technology and product positioning to both business and technical users as well as passionate about understanding technical issues to ensure complete customer satisfaction through all stages of the sales process. 

Responsibilities

• Provide technical validation of Cato Networks solutions to prospects
• Development and delivery of product demonstrations
• Presenting the product to customers and at field events such as conferences, seminars, etc.
• Respond to functional and technical elements of RFIs/RFPs
• Convey customer requirements to Product Management teams
• Travel throughout sales territory 

Requirements 

• 4+ years of Pre-Sales or Consulting experience working with network and/or cloud security products in a customer-facing role
• Proven track record in software sales
• Comprehensive understanding of networking technology, including: 

○  LAN and WAN technologies 

○  Switching and routing 

○  Security (Firewalls and Filtering technologies) 

○  Cloud 

• Strong presentation skills and written communication in emails, RFPs, and reports
• Organized, analytical, creative and adaptive in approach and finding solutions

HERE'S WHAT YOU'LL NEED

• Bachelor or Master's degree in Engineering required. Bachelor or Master's degree in Engineering from an ABET accredited program preferred.
• Minimum of 6 years of related experience required.
• Current PE in the United States preferred.
• LEED accreditation preferred.
• Must possess a working knowledge and experience, while still acquiring higher level knowledge.
• Excellent verbal and written communication skills.
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or Trane 3D Plus) required.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio 

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Role

Gradial is hiring a Senior Integrations Engineer to expand our enterprise MarTech integrations practice. In this role, you will design and ship production-ready integrations across a wide range of marketing platforms, content systems, and customer data tools for complex enterprise environments.

You will work directly with customers, product, and engineering to turn messy real-world stacks into reliable connectors that help global brands operationalize AI-native content workflows. This role is ideal for a high-agency engineer who is comfortable moving between well-known platforms and custom internal systems, and who can bring structure to ambiguity without waiting for perfect requirements.

What You’ll Own

• Architect, build, and maintain integrations across ESPs, CDPs, marketing automation platforms, CMSs, DAMs, and adjacent MarTech systems
• Lead technical discovery with enterprise customers to understand system landscapes, define integration requirements, and shape practical delivery plans
• Translate custom or poorly documented environments into clean, scalable integration designs with clear technical documentation
• Own the full integration lifecycle, including API evaluation, authentication flows, data mapping, sync logic, testing, monitoring, and production rollout
• Partner with product and platform engineering to ensure integrations are resilient, observable, and performant at enterprise scale
• Contribute reusable patterns, shared libraries, and connector framework improvements that accelerate support for future platforms
• Serve as a trusted technical partner for customer stakeholders, connecting business requirements to sound engineering decisions
• Identify edge cases, platform constraints, and implementation risks early, then drive pragmatic solutions through delivery

What We’re Looking For

• 5+ years of software engineering experience, with meaningful time spent building and shipping external system integrations in production
• Strong experience working across APIs and integration patterns, including REST, webhooks, OAuth, pagination, rate limiting, retries, and error handling
• Hands-on experience delivering MarTech implementations or integrations for enterprise customers, ideally in an agency, systems integrator, or customer-facing SaaS environment
• Broad familiarity with the MarTech ecosystem, including customer engagement platforms, customer data tools, content systems, analytics platforms, and workflow automation tools
• Ability to operate effectively in ambiguous enterprise environments where requirements evolve, documentation is incomplete, and systems are heavily customized
• Strong communication skills with the ability to work directly with technical and non-technical stakeholders and explain tradeoffs clearly
• Proven ownership mindset with a track record of driving projects end to end and making progress without heavy process or detailed specs
• Solid engineering judgment around maintainability, reliability, testing, and production readiness

Nice to Have

• Experience working with enterprise customers in industries such as retail, financial services, or healthcare
• Familiarity with AI-native content operations, automation workflows, or systems that support content generation and publishing at scale
• Experience with platforms such as Braze, Salesforce Marketing Cloud, Adobe Experience Platform, Contentful, AEM, or other large-scale enterprise content and marketing systems

Compensation 

The salary range for this position is $150,000 – $185,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Process Engineer is responsible for identifying and implementing process improvements across the Baltimore location.  This role partners closely with cross-functional teams to improve process efficiency, equipment reliability and adherence to standard work processes.

Detailed Responsibilities:

Process Ownership & Standard Work

• Own improvements to portioning process automation between sprinter and leafy green machinery
• Build improvement plans around shipping accuracy and error reduction on all lines
• Partner with Operations to evaluate drop zone management process within meal bagging and portioning activities
• Own our Home Chef Operating system (HCOS) and drive improvement to each department pillar
• Develop, track and analyze key process performance indicators (KPIs), using data and on-floor observations to identify variability, inefficiencies, and improvement opportunities impacting safety, quality, throughput and yield.
• Lead scoping & implementation of process improvements and updates to standard work, ensuring changes are practical, sustainable, and aligned with day-to-day operational activities. 

On the Floor Support & Training 

• Maintain regular on-floor presence to observe process execution and assist with real-time troubleshooting of automation processes. 
• Coach machine operators, leads, and supervisors on proper process execution and equipment operation, reinforcing adherence to standard work and expected performance standards.  
• Develop, update, and deliver training materials tied to standard work to build operator capability and support sustained process improvements.  

Cross-functional Integration  

• Serve as a key liaison between plant operations and cross-functional partners, including maintenance, engineering, and corporate CI teams to communicate process needs, issues, and improvement opportunities.  .
• Support process trials, new product trials, and process or equipment changes.

This position requires <10% travel

Qualifications

The requirements listed below are representative of the knowledge, skill, and/or ability needed for this role. Reasonable accommodations may be made to enable individuals with disabilities.

• Experience in food manufacturing is preferred; strong candidates may have experience in supply chain, plant operations, or operational excellence roles.
• Experience supporting and improving automated machinery, with a working understanding of mechanical systems, controls interactions, and equipment operating parameters.
  Exceptional communication skills with a demonstrated ability to drive results, manage conflict, build alignment, and collaborate effectively across cross-functional teams and with external partners.
  Strong project management skills, with experience prioritizing multiple workstreams and facilitating structured problem-solving among diverse stakeholders.
• Strong analytical skills, including experience using Excel to analyze data, build models, and clearly communicate insights to partners.
• Self-starter with a strong sense of ownership and a can-do mindset, focused on finding solutions and enabling progress rather than identifying obstacles. Demonstrated willingness to take initiative, adapt to changing priorities, and take on work of varying size and complexity.
  High energy, strong interpersonal skills, and a proven ability to influence without authority while maintaining flexibility and accountability.
• Strategic thinker with the ability to see the big picture while also diving into the details required to execute and sustain improvements.
• Completion of a four-year degree program in a related field (please describe): STEM degree such as Chemical or Mechanical Engineering and 1-2 years of experience in operations strongly preferred

More About Us

ETCH is a startup commercializing a radically new and efficient decarbonization technology for the simultaneous greenhouse gas-free production of hydrogen and solid carbon from natural gas.  

The Process Engineer position at ETCH, INC will be focused on development and optimization of our current processes, as well as supporting our scale-up efforts. 

Primary duties include: the optimal design, performance, efficiency, and safety of the processes, while driving continuous improvements and innovations.

Other duties include:

• Develop and implement equipment and strategies for handling both gaseous and solid materials
• Monitor and analyze operational data, identifying opportunities for process optimization to maximize efficiency
• Create process flow diagrams and conduct modeling/simulation of chemical systems
• Test and refine process flow logistics to enhance operational efficiency
• Collaborate with the technical and research teams to design and validate reactor modifications
• Oversee design and development for future and larger-scale systems
• Establish and track performance benchmarks and key performance indicators
• Prevent workplace safety hazards by system recommendations, implementation, and routine inspections

Preferred Qualifications:

• Bachelor’s degree or higher in Chemical Engineering or related field

• 10+ years of experience in process engineering,

• Experience in gas processing or solids handling industries, preferably with a focus on thermal carbon black, graphitic carbon, or similar carbon materials production
• Background in thermodynamics, fluid dynamics, and heat transfer.
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Must be able to work safely and follow safety precautions in industrial environments (temperature, humidity, noise, confined spaces, etc.).

• Demonstrated ability to lead complex projects and provide strategic direction
• Strong analytical and problem-solving skills with a data-driven approach
• Experience with process simulation software and statistical analysis tools preferred
• Knowledge of relevant industry standards and environmental regulations

The ability to work independently as well as in a team environment toward timely execution of goals is required.

ETCH is committed to equal opportunity for its employees. To that end, ETCH does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. ETCH is committed to providing qualified individuals access to all employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

Compensation commensurate with relevant experience.

ETCH is a startup commercializing a radically new and efficient decarbonization technology for the simultaneous greenhouse gas-free production of hydrogen and solid carbon from natural gas.  

The Process Engineer position at ETCH, INC will be focused on development and optimization of our current processes, as well as supporting our scale-up efforts. 

Primary duties include: the optimal design, performance, efficiency, and safety of the processes, while driving continuous improvements and innovations.

Other duties include:

• Design thermal processes: Develop and design furnaces and furnace improvements for specific materials or processes. Design and integrate heating systems, including electric elements tailored to process requirements.
• Thermal modeling: Use simulation software (e.g., ANSYS, COMSOL, or CFD tools) to model heat transfer, combustion, fluid flow, and temperature distribution inside the furnace.
• Material selection: Specify appropriate refractory materials, insulation, and structural components for furnace linings and housings.
• Efficiency improvements: Identify ways to reduce energy consumption, increase thermal efficiency, and minimize heat losses.
• Process control: Define instrumentation and control strategies (temperature sensors, feedback loops, PID tuning) to ensure stable operation.
• Prototype testing: Participate in commissioning and testing of furnace systems; validate thermal performance against design specs.
• Data analysis: Monitor and interpret thermal profiles, gas flows, emissions, and process parameters for continuous improvement.
• Prepare documentation: Create P&IDs, process flow diagrams, technical specifications, and operation manuals.
• Regulatory compliance: Ensure designs comply with safety standards, environmental regulations (e.g., emissions control), and industry codes (e.g., ASME, API, NFPA).
• Work with engineering team: Collaborate on integration with mechanical systems and solids handling.
• Liaise with vendors: Evaluate and manage suppliers of furnace components and subsystems.
• Failure analysis: Investigate and resolve furnace failures, overheating, or uneven heating issues and recommend and implement system upgrades.
• Prevent workplace safety hazards by system recommendations, implementation, and routine inspections

Tools/Software Experience

• Simulation: ANSYS, COMSOL, Fluent, SolidWorks Flow Simulation
• CAD/Design: SolidWorks, PTC Creo, Catia
• Control systems: PLC programming tools (Siemens, Allen-Bradley), SCADA
• Data analysis: Excel, MATLAB, Python (for thermal data)

Preferred Qualifications:

• Bachelor’s degree or higher in Chemical Engineering or related field

• 10+ years of experience in process engineering,
• Experience with furnace operation, design, and optimization in industries such as metallurgy, glass manufacturing, ceramics, or petrochemicals.

• Background in thermodynamics, fluid dynamics, and heat transfer.
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Must be able to work safely and follow safety precautions in industrial environments (temperature, humidity, noise, confined spaces, etc.).
• Strong analytical and problem-solving skills with a data-driven approach
• Experience with process simulation software and statistical analysis tools preferred
• Knowledge of relevant industry standards and environmental regulations

The ability to work independently as well as in a team environment toward timely execution of goals is required.

ETCH is committed to equal opportunity for its employees. To that end, ETCH does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. ETCH is committed to providing qualified individuals access to all employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

Compensation commensurate with relevant experience.