Sr. Model Based Systems Engineer Job at Redwire Space (Littleton)

Sr. Manager, Software Engineering (Search)

As a Senior Engineering Manager – Search, you will lead and inspire a talented t...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

3+ years of experience managing engineering teams, with a proven record of developing and scaling backend or search systems
7+ years of total software development experience with cloud-native SaaS platforms
Strong background in search & recommendation technologies such as Lucene, Solr, Opensearch, Elasticsearch, RAG, or similar frameworks
Deep understanding of enterprise search architecture, schema design, and relevance tuning
Proven success building REST APIs, distributed systems, and integrating services using AWS or similar cloud platforms
Experience with object-oriented and functional programming languages, such as JavaScript/TypeScript, Python, or Ruby
Familiarity with machine learning and AI concepts for ranking, personalization, or content recommendations
Track record of attracting and developing diverse talent, fostering a collaborative and inclusive culture
Strong leadership, communication, and stakeholder management skills able to balance technical depth with strategic decision-making

Job Responsibility

Lead, mentor, and grow a team of search and backend engineers focused on high-impact, scalable search solutions
Own the technical vision for search architecture combining traditional and vector based, including relevance, ranking models, and distributed indexing systems
Drive execution excellence — set goals, manage delivery timelines, and ensure consistent progress against engineering objectives
Collaborate with Product and Data Science to translate customer and business needs into measurable search and content recommendation improvements
Optimize and scale our enterprise search stack (Lucene, Solr, ZooKeeper, or similar technologies) to support massive data volumes
Oversee the design and delivery of highly available distributed services and RESTful APIs integrated into Highspot’s platform
Partner with DevOps to ensure reliability, observability, and performance across multiple data centers
Champion AI-driven enhancements to improve personalization, ranking, and search recommendations
Foster a culture of quality, inclusion, and accountability, emphasizing mentorship, continuous learning, and technical excellence
Partner cross-functionally to ensure alignment between platform strategy and product outcomes, including stakeholder communication and risk management

Fulltime

Sr Principal Spacecraft Systems Engineer / Mission Architect

Redwire is accelerating humanity’s expansion into space by delivering reliable, ...

Location

United States , Littleton

Salary:

170690.00 - 250000.00 USD / Year

Redwire Space

Expiration Date

Until further notice

Requirements

B.S. in Aerospace Engineering, Systems Engineering, or other space-related discipline
Minimum of 20 years’ experience in space industry, including developing, designing, manufacturing, testing, and operating spacecraft and space flight hardware
Demonstrated experience with Spacecraft development, deployment and operations
Must have a well-rounded System Level approach with demonstrated technical leadership
Must have experience using design tools, including Model-Based Systems Engineering (MBSE)
Extensive experience with space systems engineering including an understanding of space vehicle design, space system / ground system architecture development, and space missions and operations development
Extensive understanding of interdisciplinary systems engineering challenges, with a strong ability to see the big picture in complex projects
Demonstrated capability to quickly grasp new technology domains and apply them effectively to solve challenging problems
Deep appreciation for the history of space technology and missions, with a commitment to applying lessons learned to new initiatives
Recognized industry subject matter expert (SME) with a proven record of innovation and impact

Job Responsibility

Serves as senior technical leader to the business to develop mission concepts for spacecraft and mission development
Leverage mission design tools to support end-to-end systems engineering, program plans, schedules, and costing
Provide thought leadership within Redwire, with our partners, and across the industry
Generates quantifiable requirements based on customer description, system planning and design, and acquisition logistics
Ensures requirements comply with client requirements and government standards through formal verification methods
Translates high level customer objectives, business cases, architectures, and spacecraft development strategies into system requirement specifications and work across engineering disciplines to develop lower-level detailed implementation requirements
Establishes and coordinates development of standards, practices, and procedures as related to the overall system development
Designs interfaces and brings system elements together, so they work as a whole, meeting customer requirements while being competitive
Efficiently develop cost and schedule competitive technical solutions – drawing on internal and partner expertise
Develop concepts in schedule, budget, and performance constrained environment

Fulltime

Sr. Software Engineer

At Spectro Cloud, we are in search of a talented individual to become an integra...

Location

United States , San Jose

Salary:

Not provided

Spectro Cloud

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or related technical field
8+ years of software development experience (or 6+ years with a Master's degree)
Expert-level proficiency in Go
familiarity with Java or similar modern languages
Deep knowledge of Kubernetes architecture, operators, controllers, and custom resources
Hands-on experience with edge computing platforms and infrastructure management patterns
Strong architectural and design skills for distributed systems and microservices
Experience with cloud platforms (AWS, Azure, GCP) and cloud-native development
Experience with virtual machine usage and integration within software solutions
Understanding of security best practices in edge computing and distributed network environments

Job Responsibility

Designing, optimizing, and streamlining GoLang-based microservices
Ensuring seamless operation of the platform through automation, scripting, and rigorous testing
Producing clean and efficient code
Working closely with cross-functional teams to create scalable, dependable, and secure solutions
Staying current with industry trends and emerging technologies

Sr. Embedded Software Engineer

Location

Canada , Toronto or Ottawa

Salary:

Not provided

Advanced Technology Search Group

Expiration Date

Until further notice

Requirements

Bachelor’s in electrical engineering, Computer Engineering, or Computer Science
Experience with C/C++
Experience writing Python scripts
Ability to read and understand board schematics and device datasheets
Ability to debug embedded software using Oscilloscopes and Logic Analysers
Experience with SCM tools (GIT or SVN)
Strong analytical and problem-solving abilities
Strong communication skills
Ability to work in a multi-site team environment

Job Responsibility

Design, develop, and optimize embedded software for silicon-based systems throughout the entire lifecycle, from conceptualization to deployment, ensuring seamless integration and optimal performance
Collaborate with cross-functional teams including hardware engineers, software developers, and machine learning experts to integrate ML models into embedded systems
Architect and implement software frameworks for efficient data processing, device control, and communication protocols
Conduct performance analysis, debugging, and optimization of embedded systems for reliability and efficiency
Develop software and firmware applications to interact with hardware and third-party interfaces
Contribute to the architecture and design of the overall AI solution
Develop debug and performance analysis tools for AI solution development
Play a role in all the phases of embedded AI software development, from requirement gathering, analysis, design, development, testing and final release to customers
Provide clear and timely communication related to status and other key aspects of the project to leadership team
Develop and maintain software documentation, including specifications, design documents, and test plans

Fulltime

Sr. Technical AI Enablement Engineer

ModelOp is seeking a highly skilled Sr Technical AI Enablement Engineer to join ...

Location

United States , Utah, Chicago

Salary:

Not provided

ModelOp

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
10+ years of experience in technology-based consulting, technical enablement, or related roles
Experience in custom software delivery and complex system troubleshooting
Exceptional presentation skills for all audiences: from senior business executives to data scientists, architects, and governance teams
Proven ability to translate loose AI governance requirements into actionable implementation details across multiple workstreams
Experience with AI tools, platforms, and model development processes, along with a solid understanding of how governance and compliance mechanisms apply at each stage of the AI model lifecycle
Familiarity with AI regulations/guidelines (e.g. EU AI Act, OSFI E-23, NIST AI-RMF), ideally in specific verticals (e.g. SEC/OCC, FDA)
Strong experience in working with technical teams to embed governance processes into an existing model lifecycle

Job Responsibility

Implementation Planning: Lead customers in planning the implementation of ModelOp within the customer’s existing AI program
Technical Troubleshooting: When customer issues are raised, take lead on triaging the issue, and work with the customer technical team to obtain information (logs, etc.), conduct initial troubleshooting, and identify the next course of action
Process Design: Collaborate with customer teams to translate the customer’s AI governance policies and procedures into actionable and automated workflows within ModelOp, whilst simultaneously advising on best practices from other customers and experience
Inventory & Reporting Configuration: lead customers in designing the appropriate customizations for the metadata structure, use case forms, and dashboards within ModelOp to align with their inventory and reporting requirements
Testing & Monitoring Enablement: lead customer sessions in identifying and configuring the right set of tests and monitors for their specific AI use cases / models
Customer Enablement: Work closely with the customer to drive consumption of ModelOp software, by onboarding new AI use cases in the platform
Training & Support: Lead customer workshops, training sessions, and knowledge transfer activities to ensure customer teams understand and can effectively use ModelOp for their daily AI governance work
Documentation: Document processes, configurations, and troubleshooting steps for both technical and non-technical audiences
Learning: Stay updated on the latest developments in AI governance and related technologies to guide customers and inform product enhancements

What we offer

ModelOp offers full benefits, including a retirement package and comprehensive health insurance

Fulltime

Sr. Systems Development Engineer

At Ford, you’ll work on ideas that matter, alongside passionate people who want ...

Location

United States , Dearborn

Salary:

99100.00 - 166200.00 USD / Year

Ford Motor Company

Expiration Date

Until further notice

Requirements

Minimum of a Bachelor of Science Degree in Computer/Software/Electrical Engineering or equivalent
5+ years of experience with electrical architecture, electrical systems, and automotive network topologies, with a strong background in Systems Engineering and reliability principles
5+ years of experience in robust requirement development, verification, and validation, with a focus on designing for reliability and testability, and experience in component/vehicle level testing for failure modes
Proven experience in systematically analyzing and resolving complex systems issues, employing root cause analysis, corrective action methodologies, and implementing design solutions for failure avoidance
In-depth knowledge of CAN, LIN, and Ethernet-based In-Vehicle Network protocols and processes, including understanding of potential failure modes and diagnostic strategies
Knowledge of Service Oriented Architecture (SOA) based API design, with an understanding of fault tolerance and error handling in distributed systems
Knowledge of Human Factors and Human-Machine Interfaces (HMI), including considerations for usability, error prevention, and graceful degradation in failure scenarios
Strong knowledge of Requirements Engineering (INCOSE, EARS, BDD/Gherkin), with an ability to translate reliability and safety requirements into actionable specifications
Demonstrated in-depth knowledge and practical application of Design Failure Mode Avoidance (DFMA), Failure Modes and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and other reliability engineering techniques
Knowledge of Unified Modeling Language (UML) or System Modeling Language (SysML) for modeling system behavior, structure, and potential failure modes

Job Responsibility

Interact with feature owners and software development teams to scope and define robust systems interface and software requirements, with a strong emphasis on proactive Design Failure Mode Effects and Analysis (DFMEA)
Executing functional partitioning of features, focusing on identifying and isolating potential failure points and ensuring fault tolerance
Developing robust and fault-tolerant interfaces between allocable classes, considering potential failure propagation and implementing safeguards
Specifying comprehensive system-level and ECU software requirements, explicitly defining expected behavior, error handling, and failure recovery mechanisms based on DFMEA principles
Adopting model-based systems engineering (MBSE) methodologies for specification development, leveraging modeling and simulation for early failure mode identification and mitigation
Using Requirement Management tools for requirement authoring, change management, and specification generation, ensuring traceability to DFMEA activities and reliability targets
Using Behavior Driven Development (BDD) with Gherkin syntax to develop scenarios and associated test cases, incorporating negative test cases and failure scenarios derived from DFMEA analyses
Leading and performing comprehensive Design Failure Mode Effects and Analysis (DFMEA) activities throughout the product lifecycle to ensure the thoroughness, robustness, and reliability of software and system designs, proactively identifying and addressing potential failure modes
Managing cross-functional working level meetings with Feature/Function Owners, module owners, HMI teams, and the IVI Platform team to develop functional integration strategies that incorporate reliability and failure avoidance considerations
Performing rigorous system compatibility analysis and impact assessment for IVI feature deployment, specifically evaluating and mitigating potential failure modes introduced by new architectures, programs, or market variations

What we offer

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time

Fulltime

Sr Data Modeler

The Sr Data Modeler is a key technical contributor responsible for designing, de...

Location

United States

Salary:

108086.00 - 180144.00 USD / Year

O'Reilly Auto Parts

Expiration Date

Until further notice

Requirements

Advanced experience designing logical and physical data models for OLTP, OLAP, and streaming systems
Strong experience in relational data modeling, including dimensional modeling (star/snowflake), data vault, and normalized structures using modeling tools such as Erwin or UML
Advanced competence in developing and managing data models across data platforms, such as Snowflake, BigQuery, PostgreSQL, and cloud SQL services
Experience with NoSQL and semi-structured data models (e.g., MongoDB, Cassandra)
Basic to intermediate experience with graph databases and modeling concepts (e.g., Neo4j)
Strong experience modeling for analytics and machine learning, including schema design for curated datasets, feature stores, and metric layers
Proficient in translating data contracts and business definitions into reusable semantic models
Experience incorporating streaming-aware modeling considerations
Advanced ability to work with product owners and business stakeholders
Strong understanding of enterprise business processes

Job Responsibility

Design domain-level conceptual, logical, and physical data models across OLTP and OLAP systems
Apply best practices in relational modeling using tools such as Erwin, dbt, and UML
Implement multi-model data environments that span relational, NoSQL, graph, and event-based systems
Develop dimensional models, normalized schemas, and de-normalized views
Collaborate with platform and engineering teams to ensure models support schema evolution and efficient query performance
Translate business requirements and analytics use cases into well-structured data models
Recommend modeling techniques and platform selection
Work closely with engineers and product owners to ensure model designs support KPI alignment
Lead and implement modeling requirements for feature stores and analytic datasets
Maintain detailed documentation including entity definitions, data dictionaries, model lineage

What we offer

Competitive Wages & Paid Time Off
Stock Purchase Plan & 401k with Employer Contributions Starting Day One
Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
Team Member Health/Wellbeing Programs
Tuition Educational Assistance Programs
Opportunities for Career Growth

Fulltime

Avp ml and genai model validation

Embark on a transformative journey as an AVP ML and GenAI Model Validation at Ba...

Location

India , Noida

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Highly numerate, evidenced by an Honours degree, master’s, or PhD (or equivalent) in a quantitative discipline such as Computer Science, Mathematics, Physics, Operational Research, Economics, Engineering, or Finance
Experience developing, validating, or independently reviewing best‑in‑class tools and AI/ML models for large financial institutions or comparable regulated environments, with the ability to effectively challenge and improve model methodologies and model management processes
Strong analytical and technical expertise in AI/ML modelling, including experience with ML algorithms (e.g., XGBoost, LightGBM, Random Forest), NLP models, and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
Experience developing or validating AI/ML models on large datasets in Hadoop/AWS environments
Designed, fine‑tuned, and shipped Generative AI models - transformer‑based LLMs, RAG systems for grounded retrieval, and GANs-using PyTorch/TensorFlow and Hugging Face, including prompt engineering, RLHF, and rigorous evaluation of GenAI models
Hands‑on experience with Generative AI technologies, including Large Language Models, Transformers, retrieval‑augmented generation (RAG), and prompt‑based systems
familiarity with LangChain and LangGraph
Experience designing, developing, validating, or reviewing agent‑based AI architectures, including multi‑agent orchestration, task planning, memory management, and safeguard mechanisms
Sound understanding of financial services regulatory expectations and model risk guidance (e.g., SR 11‑7, SS1/23, IFRS 9, EU AI Act etc.)
Strong communication and influencing skills, with the ability to produce high‑quality written material for both technical and senior non‑technical audiences

Job Responsibility

Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models
Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses
Assessment of any compensating controls used to mitigate Model risk
Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement
Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning
Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty

What we offer

Hybrid working
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Fulltime

Sr. Model Based Systems Engineer

Redwire Space

Location:
United States , Littleton

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
May 17, 2026

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