Get the chrome extension Solutions Engineer
Robust AI
Robust.AI is an early-stage startup founded by an unsurpassed team of veterans in
robotics, AI, and Supply Chain who are dedicated to making the promise of Physical AI a
reality. We are a collaborative group with a diverse set of perspectives, seeking talented
individuals who are passionate about developing robotic solutions that are valuable to
customers and delightful to use. Help us redefine the very foundation of robotics and
build robots that are smart, safe, and flexible: fully autonomous and truly collaborative.
As a Solutions Engineer at Robust.AI, you will join a small, fast-paced team responsible
for designing robotic solutions for warehouse and fulfillment operations. You will work
closely with Sales and directly with prospective and existing customers to understand
their operations, analyze data, develop system concepts, and demonstrate how
Robust.AI's AMR, Carter, can improve their business.
This role combines warehouse engineering, data analysis, simulation, and customer
engagement. You will help develop solutions throughout the sales cycle, from initial
discovery and site visits through system design, simulation, proposal development, and
technical validation.
We are looking for someone who enjoys solving open-ended engineering problems, can
work across multiple customer projects, and is comfortable turning imperfect real-world
information into practical, data-driven solutions.
Main Responsibilities
● Analyze customer operational data to understand order profiles, SKU profiles
throughput requirements, labor productivity, and other inputs required for design.
● Develop AMR solutions including workflows, facility layouts, cart configurations,
labor requirements, productivity estimates, and descriptions of operation.
● Build and analyze discrete-event simulations to validate system performance,
evaluate design alternatives, identify bottlenecks, and support fleet sizing.
● Develop and modify warehouse layouts using AutoCAD.
● Participate in customer discovery calls, technical discussions, site visits, and
facility walkthroughs to understand current operations and validate solution
assumptions.
● Identify missing /or inconsistent data, develop engineering assumptions, and
clearly document the inputs and methods behind solution recommendations.
● Partner with Sales to develop proposals, presentations, ROI analyses, and other
materials that communicate the operational/business value of Robust.AI solutions.
● Support customer demonstrations, technical reviews, and other engagements
throughout the sales process.
● Collaborate with Product, Software, Deployment, and Engineering teams to
evaluate technical requirements, product capabilities, implementation
considerations, and potential solution risks.
● Develop and improve internal analytical tools, simulation models, and processes
that make solution development faster, more consistent, and scalable.
● Manage multiple customer projects concurrently and prioritize work based on
deadlines and business needs.
Minimum Requirements
with large and imperfect real-world datasets.
operations, automation, data science, or a related field.
results to both technical and non-technical audiences.
throughput, capacity, and labor productivity.
paced environment.
demonstrations, and post-deployment support.
Nice to Have
● Experience with warehouse automation, including AMRs, AGVs, goods-to-person
systems, conveyor, sortation, or other material-handling technologies.
● Experience with discrete-event simulation software, preferably FlexSim.
● Strong Python skills for data processing, visualization, simulation, optimization, or
engineering tool development.
● Familiarity with warehouse optimization techniques such as batch picking,
zoning, order clustering, SKU slotting, and labor planning.
● Familiarity with warehouse management systems (WMS), warehouse control
systems (WCS), and other logistics software.
● Experience developing automation concepts, productivity models, capacity
models, or ROI analyses.
● Experience working directly with customers in a technical, consulting, pre-sales, or
project environment.
● Fluency in Spanish or Portuguese is a plus.
What You'll Bring to the Table
curiosity about how technology can improve real-world operations.
● A strong problem-solving mindset and comfort working on problems where the
answer is not immediately obvious.
● Attention to detail and a willingness to question inputs, validate assumptions, and
sanity-check analytical results.
● The ability to move between data, layouts, simulation models, and customer
conversations to understand how an operation works as a complete system.
● Strong ownership of your work and the ability to clearly explain what you
analyzed, what you assumed, what you found, and what you recommend.
● A collaborative mindset and enthusiasm for working across Sales, Engineering,
Product, Software, and Deployment teams.
What We Offer
● $95,000–$130,000, experience dependent
● Full benefits (health, dental, vision, life)
● Stock options
● Flexible vacation and sick leave practices
● Remote work
● Opportunity for career growth
Originally posted on Himalayas
Senior Sales Engineer - Token Factory
Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.
In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy.
We are looking for a SeniorSales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.
You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:
- Revenue quality
- Engineering focus
- Product evolution
- Customer trust at scale
You’re welcome to work remotelyfrom Europe.
Your responsibilities will include:
Strategic Technical Discovery
- Lead deep technical discovery with engineering teams and technical founders
- Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
- Translate customer ambition into production-feasible architectures
- Identify hidden technical risks early
Commercial Acceleration
- Partner tightly with Sales on strategic deals
- Influence deal strategy through architectural clarity
- Prevent misaligned commitments before engineering allocation
- Increase PoC-to-production conversion by ensuring technical realism
PoC Architecture & Validation
- Define measurable success criteria (latency, TTFT, throughput, cost envelope)
- Classify workload complexity and required optimization depth
- Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
- Drive structured Go / No-Go decisions
- Prevent uncontrolled customization or hidden R&D
Pattern Recognition & Platform Leverage
- Identify recurring configuration patterns across customers
- Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
- Surface structured insights to Product and Engineering
- Help evolve platform capabilities based on real workload data
We expect you to have:
- Deep understanding of AI inference systems and GPU-backed infrastructure
- Experience with LLM workloads and performance-sensitive environments
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).
- Ability to reason about latency, throughput, cost, and architecture tradeoffs
- Strong customer presence with engineering-first organizations
- Comfort challenging assumptions and pushing back constructively
- Commercial awareness – you understand that engineering time is a strategic resource
Preferred technical stack:
- Programming Languages– Python
- Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks– FastAPI, Flask
- MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
- Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
What success looks like:
- Strategic deals are technically sound before engineering engagement
- PoCs are clearly scoped and economically justified
- Engineering capacity is allocated predictably
- Conversion to production improves
- Customers view you as a trusted architectural advisor
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Originally posted on Himalayas