Education Requirements:

• Bachelor's Degree required

• Master’s Degree preferred

Experience Requirements:

• Minimum of 11 years' relevant work experience (9 years with Master's)

• Strong Engineering experience with Microsoft Windows platform/services: MECM

• Experience with Server, Workstation, and Software upgrades using MECM

• Windows 10, DNS, DFS, and DHCP experience

• Active Directory and administration of Group Policy (GPOs)

Other Requirements:

• Active TS/SCI + Full Scope Poly U.S. Government Security is required

• Microsoft AZURE certifications

• Ability to lift and/or move up to 20 pounds

Responsibilities:

• Support Government Partner mission

• Implement SecDevOps on iterative development projects

• Cloud design, implementation, and configuration using Azure

• Automate through PowerShell script

• Participate in Agile development

Benefits:

• Top tier cash and equity compensation

• Competitive medical, dental, and vision benefits

• Fully covered lunches and dinners

• Opportunity to learn quickly, grow fast, and be rewarded

Experience Requirements:

• At least 4 years of professional full-time software development

• At least one 2 years or more at one company

• Professional experience owning end-to-end feature development

Other Requirements:

• Comfort working in TypeScript

• Empathy for your users and your colleagues

• Healthy appreciation for hard problems

Responsibilities:

• Own end-to-end feature development

• Make product and technical decisions

• Ship new work every day

• Learn from others and teach those around you

Benefits:

• Top tier cash and equity compensation

• Competitive medical, dental, and vision benefits

• Fully covered lunches and dinners

• Opportunity to learn quickly, grow fast, and be rewarded

Experience Requirements:

• At least 4 years of professional full-time software development

• At least one 2 years or more at one company

• Professional experience owning end-to-end feature development

Other Requirements:

• Comfort working in TypeScript

• Empathy for your users and your colleagues

• Healthy appreciation for hard problems

Responsibilities:

• Own end-to-end feature development

• Make product and technical decisions

• Ship new work every day

• Learn from others and teach those around you

Benefits:

• Top tier cash and equity compensation

• Competitive medical, dental, and vision benefits

• Fully covered lunches and dinners

• Opportunity to learn quickly, grow fast, and be rewarded

Experience Requirements:

• At least 4 years of professional full-time software development

• At least one 2 years or more at one company

• Professional experience owning end-to-end feature development

Other Requirements:

• Comfort working in TypeScript

• Empathy for your users and your colleagues

• Healthy appreciation for hard problems

Responsibilities:

• Build a system of AI agents who combat carrier fraud

• Own end-to-end feature development

• Make product and technical decisions

• Ship new work every day

• Learn from others and teach those around you

Benefits:

• Top-tier cash + equity

• Medical, dental, and vision coverage

• Fully covered lunches and dinners

• High ownership environment with rapid growth

• Opportunity to shape the future of AI in freight

Experience Requirements:

• 3–6+ years of professional software engineering experience

• Clear ownership of complex, production-critical systems

• Hands-on experience with AI-driven systems

Other Requirements:

• Strong command of TypeScript, Node.js, and REST API design

• Based in Chicago with willingness to travel 20–30%

• Exceptional communication and judgment

Responsibilities:

• Lead technical delivery for customer implementations

• Architect and build workflows encoding customer processes

• Develop core platform components and integration tooling

• Navigate complex environments and fragmented data

• Provide field insight to product and engineering

Benefits:

• Top-tier cash + equity

• Medical, dental, and vision coverage

• Fully covered lunches and dinners

• High ownership environment with rapid growth

• Opportunity to shape the future of AI in freight

Experience Requirements:

• 3–6+ years of professional software engineering experience

• Clear ownership of complex, production-critical systems

• Hands-on experience with AI-driven systems

Other Requirements:

• Strong command of TypeScript, Node.js, and REST API design

• Based in Chicago with willingness to travel 20–30%

• Exceptional communication and judgment

Responsibilities:

• Own customer deployments end-to-end

• Work directly with operators to understand workflows

• Build production features and integrations

• Diagnose and resolve issues in the field

• Travel 20–30% to customer sites nationwide

Benefits:

• Top tier cash and equity compensation

• Competitive medical, dental, and vision benefits

• Fully covered lunches and dinners

• Opportunity to learn quickly, grow fast, and be rewarded

Experience Requirements:

• At least 4 years of professional full-time software development

• At least one 2 years or more at one company

• Professional experience owning end-to-end feature development

Other Requirements:

• Comfort working in TypeScript

• Empathy for your users and your colleagues

• Healthy appreciation for hard problems

Responsibilities:

• Build the matching engine and marketplace infrastructure

• Own end-to-end feature development

• Make product and technical decisions

• Ship new work every day

• Learn from others and teach those around you

Benefits:

• Top tier cash and equity compensation

• Competitive medical, dental, and vision benefits

• Fully covered lunches and dinners

• Opportunity to learn quickly, grow fast, and be rewarded

Experience Requirements:

• At least 4 years of professional full-time software development

• At least one 2 years or more at one company

• Professional experience owning end-to-end feature development

Other Requirements:

• Comfort working in TypeScript

• Empathy for your users and your colleagues

• Healthy appreciation for hard problems

Responsibilities:

• Design and scale real-time voice AI systems

• Own end-to-end feature development

• Make product and technical decisions

• Ship new work every day

• Learn from others and teach those around you

Benefits:

• Paid opportunity

• Work with a fun group of colleagues

• Technical growth

• Challenging problems

Education Requirements:

• Currently pursuing a PhD (or final year Masters) degree in Mechanical Engineering, Civil Engineering, Aerospace Engineering, Chemical Engineering or Physics

Experience Requirements:

• Coursework or demonstrated knowledge in fluid mechanics, heat transfer and chemistry

• Familiarity with CFD software Star-CCM+, ANSYS Fluent, COMSOL or OpenFOAM

• Familiarity with parametric CAD design on NX, CATIA or FreeCAD

• Familiarity with HPC environments and Linux

• Familiarity with AI-driven modelling techniques

Other Requirements:

• Must have existing right to work in the UK (no visa sponsorship)

• Strong problem-solving skills

• Excellent communication skills

Responsibilities:

• Develop parametric CAD models and geometry generation workflows

• Build automated CFD pipelines for high-fidelity datasets

• Manage large-scale simulation datasets on cloud HPC

• Implement automated post-processing routines

• Collaborate with Data Scientists and ML Engineers

Benefits:

• Diversity and inclusion commitment

• University sponsorship for bright women from disadvantaged backgrounds

Education Requirements:

• Technical background (Data Science, Machine Learning, or Engineering)

Experience Requirements:

• At least 3-5 years industry experience in a commercial, customer-facing environment

• End-to-end AI/ML product lifecycle understanding

• Strategic planning, time management, and problem-solving

Other Requirements:

• Right to Work status required

• Keen learner

Responsibilities:

• Build and maintain relationships with users and decision-makers

• Translate customer industry challenges into product opportunities

• Own the customer onboarding journey

• Support the running of customer delivery teams

• Find the next useful thing to build for a customer

Benefits:

• Equity options

• 10% employer pension contribution

• Free office lunches

• Flexible working

• Private healthcare

Experience Requirements:

• Deploying Kubernetes clusters across cloud (AWS, Azure) and on-prem

• Infrastructure-as-code tools (Crossplane, Terraform, Helm)

• Networking, security, and observability in containerised environments

• Working directly with external customers or clients

• Customer-led, professional services, or solutions engineering role

Other Requirements:

• Excellent communication skills

• Self-motivated with strong project management skills

• Experience in regulated industries or high-security environments is a plus

Responsibilities:

• Assess infrastructure requirements and security constraints

• Build relationships with customer technical teams

• Design and execute deployment strategies

• Troubleshoot complex deployment issues

• Act as a system validator

Benefits:

• Paid opportunity

• Technical growth

• Work with a fun group of colleagues

Education Requirements:

• Currently pursuing a PhD or Master's or Bachelor’s degree in Mechanical/Civil/Aerospace/Chemical Engineering

Experience Requirements:

• Familiarity with finite element analysis concepts

• Basic understanding of FEA software (ANSYS, ABAQUS, NX NASTRAN, etc.)

• Proficiency in Python or MATLAB is mandatory

• HPC environments and Linux is a plus

Other Requirements:

• Must have existing right to work in the UK (no visa sponsorship)

• Strong analytical skills

• Excellent communication skills

Responsibilities:

• Set up, execute, and validate FEA simulations

• Perform structural, thermal, and dynamic analyses

• Analyze and post-process simulation results

• Build simulation pipelines for design of experiments

• Prepare technical reports and presentations

Benefits:

• Equity options

• 5% 401(k) match

• Flexible working

• Enhanced parental leave

• Private healthcare

Education Requirements:

• Background in Mechanical Engineering or similar is a plus

Experience Requirements:

• Solid foundation in software engineering

• API design

• Deploying applications to production

• Full stack breadth

Other Requirements:

• Proactive and high ownership

• Solution-focussed and customer-obsessed

• Right to Work status required

Responsibilities:

• Collaborate with data scientists and ML engineers to ship models

• E2E application design and low-lift prototyping

• Build and maintain RESTful APIs (FastAPI) and microservices in Python

• Deploy applications to the cloud (Helm, K8s, Terraform, AWS/Azure)

• Develop fundamental platform components

Benefits:

• Equity options

• 10% employer pension contribution

• Free office lunches

• Flexible working

• Private healthcare

Education Requirements:

• Background in Mechanical Engineering or similar is a plus

Experience Requirements:

• Solid foundation in software engineering

• API design

• Deploying applications to production

• Solving complex engineering problems

Other Requirements:

• Proactivity and high ownership

• Solution-focussed

• Right to Work status required

Responsibilities:

• Collaborate with cross-functional teams to ship physics models

• E2E application design and user feedback iteration

• Backend development (FastAPI/Python/Microservices)

• Deploy applications using Helm, Kubernetes, Terraform

• Distill complex solutions into fundamental components

Benefits:

• Equity package

• Generous vacation and parental leave

• Complimentary office food

• Fun outings and events

• HPC equipment access

Education Requirements:

• Background in Mechanical Engineering or similar is a plus

Experience Requirements:

• Built a team from ground up

• Technical project management expertise

• Solid foundation in software engineering and API design

• Solving complex engineering problems

Other Requirements:

• Extreme ownership of outcomes

• Travel to customer sites (3-4 weeks per quarter)

• Ability to challenge the status quo

Responsibilities:

• Own the technical delivery plan for multiple projects

• Embed with customers to land production deployments

• Cultivate engineering talent and build the team

• Own the scoping of new projects

• Translate business objectives into roadmaps

Benefits:

• Equity package

• Generous vacation and parental leave

• Complimentary office food

• Fun outings and events

• HPC access

Education Requirements:

• Background in Mechanical Engineering or similar is a plus

Experience Requirements:

• Built a team from ground up

• Technical project management expertise

• Software engineering foundation and API design

• Experience with complex customer workflows

Other Requirements:

• Travel to customer sites (3-4 weeks per quarter)

• Extreme ownership

• Right to Work status required

Responsibilities:

• Own technical delivery plans for projects

• Embed with customers for production deployments

• Cultivate engineering talent

• Scoping new projects and work-streams

• Translate business objectives into milestones

Benefits:

• Equity options

• 5% 401(k) match

• Flexible working

• Enhanced parental leave

• Private healthcare

Education Requirements:

• Masters or PhD

Experience Requirements:

• 5+ years industry experience (post Masters or PhD)

• Expertise in fluid mechanics, heat transfer, and multiphase modelling

• Proficient in Star-CCM+, OpenFOAM, or Fluent

• Parametric CAD modelling (NX or CATIA)

• Python/Java coding

Other Requirements:

• Travel globally up to 2–3 weeks per quarter

• Right to Work status required

• Engineering leadership and mentoring skills

Responsibilities:

• Lead technical direction of multi-physics simulation workstreams

• Partner with customers to address complex CAE & AI solutions

• Develop complex multi-physics models from geometry to simulation

• Build parametric CAD models coupled with pipeline automation

• Generate simulation datasets for ML training

Benefits:

• Offers Equity

• Generous perks

• Comprehensive benefits

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field

Experience Requirements:

• 3+ years of industry experience

• 2+ years training and deploying ML models in production

Other Requirements:

• Proficiency in Python/Javascript

• Experience with TensorFlow, PyTorch, Keras, scikit-learn

• Expertise in NLP, Deep Learning, Anomaly Detection, Transformers and LLMs

Responsibilities:

• Training production models to improve their accuracy for specific sales use cases

• Align technical strategy with performance, cost and feasibility considerations

• Handle realtime audio AI & precision/recall/latency tradeoffs

• Implement smart call funnels & playbooks using GPT-3

• Work with conversation embeddings & markov models

Benefits:

• Equity in the form of options

• Comprehensive health, dental, vision, life and disability insurance

• Unlimited paid time off

Experience Requirements:

• 3–5 years engineering experience

• Ideally experience in SaaS products

Other Requirements:

• Strong skills in modern frontend (React)

• Backend skills (Node/TypeScript, REST APIs)

• Solid understanding of data models and caching (Postgres, Redis)

Responsibilities:

• Build and maintain core dialer features

• Collaborate with design/product to ship UX improvements

• Improve backend APIs and frontend performance

• Partner cross-functionally with Integrations and Voice Infra

• Build toward senior ownership of dialer experience systems

Benefits:

• Equity in the form of options

• Comprehensive health, dental, vision, life and disability insurance

• Unlimited paid time off

Experience Requirements:

• At least 6 years of experience in full-stack engineering

• Proven technical leadership experience for at least 1 year

• Past experience working at a startup

Other Requirements:

• Expertise in React, TypeScript, Node.js, and Python

• Strong communication skills

Responsibilities:

• Build and maintain scalable, high-performance applications

• Lead the design and implementation of new features

• Architect and develop front-end components using React and TypeScript

• Mentor and guide junior engineers

• Contribute to the company’s technical roadmap