About the Role

Applied is seeking a Software Engineer with strong foundations in algorithmic optimization and multi-agent systems. You’ll tackle complex computational challenges in our real-time decision-making platform, designing and implementing advanced algorithms that push the boundaries of autonomous coordination and planning. We seek motivated engineers driven by core mission values to join our Acuity Autonomous Behaviors and Agents engineering team focused on next-generation human-machine teaming and real-time decision-making systems. You’ll help build intelligent agents that plan and execute missions using advanced reasoning, planning, and optimization algorithms. Our work spans real-time scenarios, heterogeneous platforms (air, space, land, surface, sub-surface), and software that integrates seamlessly with human operators. If you thrive in fast-moving, mission-oriented environments and love building autonomy that help our warfighters, this is your role.

Your work will support our Axion and Acuity family of systems, enabling breakthrough capabilities in human-machine teaming across all domains. If you’re passionate about applying cutting-edge algorithms to solve mission-critical coordination problems, this role offers exceptional opportunities to advance the state of the art in autonomous decision making systems.

At Applied, you will:

• Design and implement multi-agent optimization algorithms for distributed decision-making and coordination problems 
• Develop temporal logic frameworks and constraint-satisfaction algorithms for complex planning scenarios
• Create mathematical models for sequential decision process under uncertainty with probabilistic outcomes 
• Build computational frameworks that balance algorithmic efficiency with human-interpretable reasoning
• Implement and evaluate quantitative metrics for algorithm performance, solution quality, and computational efficiency
• Translate theoretical approaches into production-ready software implementations with rigorous testing methodologies
• Collaborate with cross-disciplinary teams to refine algorithmic approaches based on empirical evaluation
• Communicate technical details effectively across stakeholders, sponsors, and leadership

We’re looking for someone who has:

• BS or MS in Computer Science, Software Engineering, Robotics, or a related technical field, OR 5+ years of professional experience developing intelligent agents or planning systems.
• 5+ years of hands-on experience developing performant modern C++ (we use C++ 20).
• Strong theoretical understanding and practical experience implementing algorithms for constraint satisfaction, scheduling, and optimization problems.
• Demonstrable skill in analyzing, visualizing, and optimizing algorithm performance and solution quality.
• Proficiency with Bazel in Docker-based Linux environments.
• Strong procedural and object-oriented programming experience that employs clean code principles and good OOP design patterns/principles.
• Experience developing in Docker and containerized development environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu).
• Understanding of Service-oriented Architecture and message broker vs data broker paradigms.
• Experience using git, Visual Studio Code, GitLab, SonarQube, and Artifactory or Azure Container registry.
• Ability to translate complex mathematical concepts into clear technical documentation and communicate complex software designs.
• Strong critical thinking skills, methodical approach to algorithm development and validation, and ability to thrive in a dynamic, fast-paced environment.
• Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams.
• Passion for solving complex problems with little supervision in a fast-moving team.
• Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment.

Travel Requirements:

• Occasional travel required (approx. 10–20%) for demonstrations, integration, or customer engagement

Security Clearance

• Must be a U.S. Citizen
• Must be eligible for a U.S. SECRET clearance with Special Access Program (SAP) eligibility

Nice to have:

• Advanced degree (MS+) in algorithms, computational optimization, or autonomous systems, OR 5+ years building autonomous decision systems.
• Expertise in advanced planning paradigms (e.g., PDDL, HTN planning, Monte Carlo tree search), temporal reasoning, formal verification, or symbolic planning.
• Experience with game theory for multi-agent coordination or negotiation protocols.
• Familiarity with real-time optimization under hardware/edge constraints.
• Background in Battle Management Command and Control (BMC2) or defense applications.
• Master’s degree in computer science/related engineering field.
• 7+ years developing software in C++ (C++ 2017)
• Proficient with build tools like Conan and Bazel.
• Experience on national security projects for government agencies.
• Interdisciplinary background with a focus on continual learning.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 to $200,000 USD annually.

Lead Product Manager, Clinical Genomics Engineering

Natera offers genetic risk assessment and diagnostic tests to patients through medical providers. The Clinical Genomics Engineering organization builds software that supports complex, regulated workflows spanning tertiary analysis workflows including variant  interpretation, clinical review, and reporting. As Natera scales across Women’s Health, Oncology, and Organ Health, delivering  cohesive, reliable, and compliant software experiences is foundational to clinical quality and commercial success.

Natera is seeking a Lead Product Manager to define and drive strategy for core components of the Results, Interpretation, and Reporting (RIR) platform. This role is responsible for shaping scalable, compliant, and cohesive clinical software systems that support complex genomics workflows across multiple business units. The Lead PM will operate as a platform-level owner, ensuring long-term architectural soundness, regulatory robustness, and measurable clinical and operational outcomes.

Initial Focus and Scope Evolution

The Lead Product Manager will lead cross-functional alignment across engineering, clinical, quality, and downstream systems to ensure RIR components operate as a cohesive, scalable platform. This role will identify systemic gaps, resolve cross-team tradeoffs, and drive architectural and workflow decisions that support long-term growth and regulatory compliance.

This role will initially own one or more RIR software components or initiatives, with responsibility for defining long-term strategy, aligning cross-component workflows, and ensuring scalable architecture across user-facing applications, data contracts, and backend services. The Lead PM will drive strategic investment decisions, establish standards for usability and reliability, and ensure systems meet evolving clinical, operational, and regulatory requirements.

As business needs evolve, this role will expand to influence and coordinate across multiple RIR components, driving cohesive workflow design, shared data standards, and platform-level scalability across Women’s Health, Oncology, and Organ Health.

Primary Responsibilities

• Define and drive multi-year product strategy and roadmap across one or more RIR components, ensuring alignment to clinical quality, regulatory requirements, and commercial scale objectives

• Influence platform-level technical direction in partnership with engineering leadership 

• Partner closely with software engineering, bioinformatics, clinical domain experts, quality, regulatory, and other product teams

• Translate business, clinical, and operational needs into clear, actionable product requirements

• Define and evolve end-to-end user workflows, including UI/UX requirements and supporting backend functionality

• Drive cross-team alignment on shared data contracts and workflow standards

• Mentor and raise the bar for product management within the RIR organization

• Own measurable improvements in clinical workflow efficiency, reliability, and operational scalability

• Establish prioritization frameworks that balance regulatory risk, clinical impact, technical scalability, and business outcomes across RIR investments.

• Develop and track quantitative metrics related to usability, performance, reliability, and adoption

• Lead delivery teams with clear strategic direction, ensuring requirements reflect long-term platform goals, validation readiness, and system interoperability.

• Proactively identify systemic risks, architectural constraints, and workflow inefficiencies that may limit scale or regulatory robustness, and lead cross-functional initiatives to resolve them

• Partner with Quality and Regulatory leadership to shape validation strategy, risk classification, traceability, and audit readiness for RIR software systems.

• Create clear, data-driven written proposals and presentations to support stakeholder alignment and decision-making

• Act as a subject matter expert for owned components, supporting design, testing, validation, rollout, and ongoing use

Qualifications

Required

• Bachelor’s degree in life sciences, engineering, computer science, statistics, or equivalent experience

• 7+ years of experience in software product management, including ownership of complex, multi-team or platform-level initiatives

• 5+ years experience working on production software in healthcare, clinical genomics, or other regulated lifesciences domains, with demonstrated impact on validation, compliance, and system scalability

• Demonstrated experience influencing engineering architecture and long-term technical investment decisions

• Proven ability to drive alignment across highly matrixed organizations without direct authority
  Track record of independently operating in ambiguous environments and establishing product direction
  

Preferred

• Experience with clinical genomics and variant processing and interpretation workflows

• Experience owning user-facing applications, tools, or operational software

• Familiarity working with backend services, APIs, or data-driven systems

Knowledge, Skills, and Abilities

• Ability to operate effectively at both tactical and strategic levels, connecting detailed execution to broader platform vision.

• Strong analytical skills with attention to quality, reliability, and user outcomes

• Leads technical design discussions and critically evaluates architectural tradeoffs to ensure scalability, reliability, and regulatory integrity

• Proven ability to influence without authority and drive alignment across teams

• Clear, concise written and verbal communication skills across technical and non-technical audiences

• Ability to manage multiple initiatives in a fast-paced, regulated environment

• Familiarity with Next Generation Sequencing concepts is beneficial

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Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen