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qa automation engineer intern
Harnham
Artificial Intelligence Engineer
Harnham Bakersfield, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/04/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Harnham
Artificial Intelligence Engineer
Harnham Long Beach, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/04/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Harnham
Artificial Intelligence Engineer
Harnham Los Angeles, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/04/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Harnham
Artificial Intelligence Engineer
Harnham San Diego, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/04/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Harnham
Artificial Intelligence Engineer
Harnham San Jose, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/03/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Azure DevSecOps Engineer (Secret) (4594)
SMX Washington, Washington DC
Overview Azure DevSecOps Engineer (Secret) (4594) at SMX (View all jobs) () Boston, MA; Colorado Springs, CO; Tampa, FL; Washington, DC SMX is seeking an Azure DevSecOps Engineer supporting the design and implementation of secure, scalable multi-cloud infrastructure, applications, and services in support of enterprise cloud migration and mission-critical systems for the United States Air Force. Responsible for cloud design, development, engineering, integration, and architecture. Will help onboard new Microsoft Azure cloud accounts and applications, conduct security patching, build code pipelines, and support deployment activities, primarily with Azure, but familiarity with multi-cloud solutions (Azure, Google, and Oracle), and Commercial Cloud Enterprise (C2E) classified cloud migration and deployments is important. May develop solutions from scratch using tools such as Ansible, Jenkins, Packer, and related products. Will contribute to the overall strategic vision and integrate a broad range of engineering solutions in support of client requirements for Air Force cloud projects. Helps formulate and define system scope and objectives; develops or modifies processes to solve complex problems for cloud systems, business, and electronic interfaces to achieve desired results through the use of innovative technologies. Able to apply engineering and design methods, theories, and research techniques in the investigation and solution of complex and advanced cloud requirements, hardware/software interfaces, and applications, and solutions. Responsibilities Design, architect, and optimize secure cloud solutions in Azure Navigate client-facing engagements and work in tandem with other vendors Contribute to technical discussions both internally and with customer or vendor teams Focus on cloud-native services and optimizing the customer landscape through adoption of these services Define and engineer solution capabilities that satisfy customer business drivers / requirements and meet service delivery objectives Lead and/or support cloud migration strategies and establish environments (Dev, QA, Prod, etc.) across classified and unclassified networks Implement automation for provisioning, configuration, security, and monitoring using DevOps best practices Integrate cloud services with analytics tools Support infrastructure security design, patching, and compliance documentation to support governance and ATO processes Develop and apply engineering methods and solutions for cloud environments Required Skills & Experience Must have 8 years' experience in industry with a Bachelor's degree (or Associate degree +2 years direct Azure DevSecOps relevant experience, or 4 years direct Azure DevSecOps relevant experience) Active Security Clearance Required: Secret Must have experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments Must have experience with integration of Software with IBM Maximo Application Suite (MAS) Architecture, IBM WebSphere, and Red Hat OpenShift on Azure Ability to host applications on commercial cloud providers with a focus on Azure environments Experience with containerization and container orchestration platforms and tools including Docker or Kubernetes Ability to work with application development teams across the software development lifecycle Expertise in cloud, including native services for compute, storage, networking, security, and automation Desired Skills & Experience Prior experience supporting United States Air Force cloud programs Experience automating infrastructure provisioning with tools including CloudFormation or Terraform Experience automating CI/CD pipelines with tools such as Jenkins or GitLab Experience with Ansible, Chef, Puppet, Maven, Gradle, NPM Knowledge of scripting languages such as Python, Linux Shell Script Knowledge of creating and improving continuous automation across multiple technical stacks Knowledge of triaging and resolving issues related to both open source and commercial tools in public cloud environments Cloud certification(s) Application Details Application Deadline: November 24, 2025 The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $96,400-$160,600 USD At SMX , we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
04/02/2026
Full time
Overview Azure DevSecOps Engineer (Secret) (4594) at SMX (View all jobs) () Boston, MA; Colorado Springs, CO; Tampa, FL; Washington, DC SMX is seeking an Azure DevSecOps Engineer supporting the design and implementation of secure, scalable multi-cloud infrastructure, applications, and services in support of enterprise cloud migration and mission-critical systems for the United States Air Force. Responsible for cloud design, development, engineering, integration, and architecture. Will help onboard new Microsoft Azure cloud accounts and applications, conduct security patching, build code pipelines, and support deployment activities, primarily with Azure, but familiarity with multi-cloud solutions (Azure, Google, and Oracle), and Commercial Cloud Enterprise (C2E) classified cloud migration and deployments is important. May develop solutions from scratch using tools such as Ansible, Jenkins, Packer, and related products. Will contribute to the overall strategic vision and integrate a broad range of engineering solutions in support of client requirements for Air Force cloud projects. Helps formulate and define system scope and objectives; develops or modifies processes to solve complex problems for cloud systems, business, and electronic interfaces to achieve desired results through the use of innovative technologies. Able to apply engineering and design methods, theories, and research techniques in the investigation and solution of complex and advanced cloud requirements, hardware/software interfaces, and applications, and solutions. Responsibilities Design, architect, and optimize secure cloud solutions in Azure Navigate client-facing engagements and work in tandem with other vendors Contribute to technical discussions both internally and with customer or vendor teams Focus on cloud-native services and optimizing the customer landscape through adoption of these services Define and engineer solution capabilities that satisfy customer business drivers / requirements and meet service delivery objectives Lead and/or support cloud migration strategies and establish environments (Dev, QA, Prod, etc.) across classified and unclassified networks Implement automation for provisioning, configuration, security, and monitoring using DevOps best practices Integrate cloud services with analytics tools Support infrastructure security design, patching, and compliance documentation to support governance and ATO processes Develop and apply engineering methods and solutions for cloud environments Required Skills & Experience Must have 8 years' experience in industry with a Bachelor's degree (or Associate degree +2 years direct Azure DevSecOps relevant experience, or 4 years direct Azure DevSecOps relevant experience) Active Security Clearance Required: Secret Must have experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments Must have experience with integration of Software with IBM Maximo Application Suite (MAS) Architecture, IBM WebSphere, and Red Hat OpenShift on Azure Ability to host applications on commercial cloud providers with a focus on Azure environments Experience with containerization and container orchestration platforms and tools including Docker or Kubernetes Ability to work with application development teams across the software development lifecycle Expertise in cloud, including native services for compute, storage, networking, security, and automation Desired Skills & Experience Prior experience supporting United States Air Force cloud programs Experience automating infrastructure provisioning with tools including CloudFormation or Terraform Experience automating CI/CD pipelines with tools such as Jenkins or GitLab Experience with Ansible, Chef, Puppet, Maven, Gradle, NPM Knowledge of scripting languages such as Python, Linux Shell Script Knowledge of creating and improving continuous automation across multiple technical stacks Knowledge of triaging and resolving issues related to both open source and commercial tools in public cloud environments Cloud certification(s) Application Details Application Deadline: November 24, 2025 The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $96,400-$160,600 USD At SMX , we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
Manager, Software Engineer
Relativity Boston, Massachusetts
Posting Type: Hybrid Job Overview Relativity is a market-leading global tech company that equips legal and compliance professionals with a powerful platform to organize data, uncover the truth, and act on it. Our SaaS product, RelativityOne, is the fastest-growing in our company's history, trusted by the U.S. Department of Justice, 199 of the Am Law 200, and over 329,000 enabled users for litigation, internal investigations, and compliance projects. We've been consistently recognized as a great workplace, and we seek individuals who bring their authentic selves to our team. Job Description and Requirements As a Software Engineering Manager in Engineering Systems, you will: Lead an internal platform team that empowers Relativity developers to deliver high-value products. Lead and develop a high-performing team of software engineers. Serve as a subject matter expert for the product features your team owns. Make decisions regarding your team's operations and objectives. Receive mentorship and coaching from leadership to support your success. Key Responsibilities Include: People & Performance Management Oversee a Scrum team, ensuring its success through Agile principles and leadership. Foster a high-performance culture and cost-effective practices. Allocate team members' efforts strategically based on organizational needs. Drive organizational efficiency through industry best practices for SaaS products. Conduct 1:1 meetings to support your direct reports. Promote knowledge-sharing across the team. Offer technical leadership in your team's feature set or domain. Guide employees on career development and future opportunities. Manage the team's workload, hiring, and performance evaluation. Technology & Strategy Leadership Serve as a technology advisor, staying ahead of industry trends. Contribute hands on to software design, development, and integration. Leverage lead engineers and architects to develop effective solutions. Develop a strategic vision for your team's domain. Implement operational policies and drive process improvements. We enjoy working with smart, driven people who have fun building innovative solutions. We expect you to be versatile, display leadership qualities, and be excited to tackle new challenges across the full tech stack. Qualifications Positive attitude and strong teamwork skills. Bachelor's degree in computer science or a related field. 4+ years managing software development teams. 10+ years of experience in commercial grade software development. Experience leading remote teams. Strong knowledge of modern programming languages and object oriented programming. Strong knowledge of high performance, fault tolerant distributed systems. Strong knowledge of cloud environments (SaaS, PaaS). Strong knowledge of Infrastructure as Code (Terraform, Pulumi, etc.). Ability to motivate teams and improve efficiency under pressure. Strong verbal, presentation, and written communication skills. Experience with Agile methodologies. Experience with GitHub Actions, Jenkins, or other automation tools. Proven success leading SaaS or PaaS products. Cloud platforms (Azure preferred). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long term incentives. The expected salary range for this role is between $155,000 and $233,000. The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Suggested Skills: Budget Management, Engineering Management, Innovation, Leadership, Performance Management (PM), Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Stakeholder Management
04/02/2026
Full time
Posting Type: Hybrid Job Overview Relativity is a market-leading global tech company that equips legal and compliance professionals with a powerful platform to organize data, uncover the truth, and act on it. Our SaaS product, RelativityOne, is the fastest-growing in our company's history, trusted by the U.S. Department of Justice, 199 of the Am Law 200, and over 329,000 enabled users for litigation, internal investigations, and compliance projects. We've been consistently recognized as a great workplace, and we seek individuals who bring their authentic selves to our team. Job Description and Requirements As a Software Engineering Manager in Engineering Systems, you will: Lead an internal platform team that empowers Relativity developers to deliver high-value products. Lead and develop a high-performing team of software engineers. Serve as a subject matter expert for the product features your team owns. Make decisions regarding your team's operations and objectives. Receive mentorship and coaching from leadership to support your success. Key Responsibilities Include: People & Performance Management Oversee a Scrum team, ensuring its success through Agile principles and leadership. Foster a high-performance culture and cost-effective practices. Allocate team members' efforts strategically based on organizational needs. Drive organizational efficiency through industry best practices for SaaS products. Conduct 1:1 meetings to support your direct reports. Promote knowledge-sharing across the team. Offer technical leadership in your team's feature set or domain. Guide employees on career development and future opportunities. Manage the team's workload, hiring, and performance evaluation. Technology & Strategy Leadership Serve as a technology advisor, staying ahead of industry trends. Contribute hands on to software design, development, and integration. Leverage lead engineers and architects to develop effective solutions. Develop a strategic vision for your team's domain. Implement operational policies and drive process improvements. We enjoy working with smart, driven people who have fun building innovative solutions. We expect you to be versatile, display leadership qualities, and be excited to tackle new challenges across the full tech stack. Qualifications Positive attitude and strong teamwork skills. Bachelor's degree in computer science or a related field. 4+ years managing software development teams. 10+ years of experience in commercial grade software development. Experience leading remote teams. Strong knowledge of modern programming languages and object oriented programming. Strong knowledge of high performance, fault tolerant distributed systems. Strong knowledge of cloud environments (SaaS, PaaS). Strong knowledge of Infrastructure as Code (Terraform, Pulumi, etc.). Ability to motivate teams and improve efficiency under pressure. Strong verbal, presentation, and written communication skills. Experience with Agile methodologies. Experience with GitHub Actions, Jenkins, or other automation tools. Proven success leading SaaS or PaaS products. Cloud platforms (Azure preferred). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long term incentives. The expected salary range for this role is between $155,000 and $233,000. The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Suggested Skills: Budget Management, Engineering Management, Innovation, Leadership, Performance Management (PM), Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Stakeholder Management
Device Automation & QA Manager
worldcoin.org San Francisco, California
About the Company: World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy. Our products make this possible: the Orb verifies real people, World ID proves it privately, and World App enables and distributes the new applications made possible by this technology. Together, they form a new layer for AI internet. We're one of the fastest-growing networks in tech. More than 17 million people across 160 countries have verified with World ID, and we complete over 350,000 verifications each week. World App is already among the most used wallets globally. Developers are integrating World ID to build safer online experiences and create spaces where real people can participate, earn, and be recognized in ways AI simply can't replicate. World was founded in 2019 and launched globally in 2023. We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. Our teams come from OpenAI, Tesla, SpaceX, Apple, Google, Stripe, Meta, Coinbase, Palantir and MIT Media Lab. We're backed by leading investors, including a16z, Khosla Ventures, Bain Capital Crypto, Blockchain Capital, Variant, Tiger Global, and Coinbase Ventures, as well as prominent operators and founders across fintech and AI. World has been featured on the cover of TIME Magazine, highlighted in Fast Company's Next 5 in Fintech, and explored in a Bloomberg deep dive. The New York Times, Bankless and TechCrunch have all recognized our progress in identity, cryptography, AI, and global scale hardware deployment. Our leadership is also named to the Time AI 100. Learn more about the newest product launches from our Unwrapped event. About the team The Device Software team develops the magical experiences that enable the missions of TFH. We are passionate about making great products. We own problems end-to-end and are able to lead cross functional teams when needed. We love to collaborate but are not afraid to make decisions. We value open communication and are not afraid to fail - we see the value in learning quickly more than making a perfect decision. We really enjoy working with each other and only bring on the best talent. About the role We are looking for a Device Automation & QA Manager to own software quality end-to-end for our device platforms. This role is the final quality gate for device software releases and operates alongside but independently from product development teams, with clear accountability for release readiness, test coverage, and test fleet health. You will design, build, and operate a scalable automated test infrastructure spanning devices, hardware in the loop (HIL), backend services, and CI/CD systems. You will also manage and grow a highly technical QA and automation team. Your work will directly enable faster development cycles, higher release confidence, and fewer issues reaching the field. This is a hands on leadership role. You will write and review test code, design test architectures, interact directly with hardware, and set the quality bar for multiple device product lines. Over time, this role will define how quality scales as our device portfolio, team size, and system complexity grow. In this role, you will: Own the automation and QA strategy for Device Software, serving as the independent verification and final release gate for all device releases Recruit and hire top talent to the QA team that will be able to be self sufficient within the realms of software, hardware and fleet management Act as the build and release manager including release scheduling, readiness reviews, and release notes Design, implement, and evolve a large scale automated test fleet, including test devices, test stations, and custom HIL systems Architect and operate test infrastructure spanning: Devices (Orb and future products) Test stations that interact with devices like a human would Backend services, CI/CD pipelines, and fleet management tooling Designing and automating regression, smoke, and nightly test workflows Define quality benchmarks and test strategies in partnership with project leads for new products and features Build and manage a team of Automation / QA Engineers, including hiring, mentoring, and performance management Enable scalable fleet operations, including: Automated test deployment and updates CI-triggered test execution Monitoring and troubleshooting of test failures Investigate and reproduce field issues, acting as first-line triage before handing off to firmware, software, hardware, and backend teams Continuously improve test coverage, execution speed, and system reliability, including negative and fault-injection testing You might thrive in this role if you have: Deeply hands on with software and hardware, comfortable debugging real devices, test rigs, and electrical signals Designed or owned automation systems at scale, including fleets of test devices Write and review high quality test code and enjoy building reusable, maintainable test frameworks and libraries Can read production firmware and software code to understand system behavior and translate that understanding into targeted tests Naturally curious and proactive - you dig for bugs, edge cases, and failure modes others miss. A human fuzz tester Comfortable setting direction with ambiguity and do not require detailed test instructions to get started Lead with collaboration and low ego, earning trust by delivering value Enjoy mentoring and growing engineers, and can develop senior ICs into technical or project leads Think in systems - anticipating future bottlenecks in testing, release processes, and infrastructure before they become problems Not afraid to break things in the name of learning, validation, and quality Pay transparency statement (for CA and NY based roles): The reasonably estimated salary for this role at TFH in San Francisco ranges from $217,000 - $260,000, plus a competitive long term incentive package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, vision and mental health benefits, a 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend and much more!
04/02/2026
Full time
About the Company: World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy. Our products make this possible: the Orb verifies real people, World ID proves it privately, and World App enables and distributes the new applications made possible by this technology. Together, they form a new layer for AI internet. We're one of the fastest-growing networks in tech. More than 17 million people across 160 countries have verified with World ID, and we complete over 350,000 verifications each week. World App is already among the most used wallets globally. Developers are integrating World ID to build safer online experiences and create spaces where real people can participate, earn, and be recognized in ways AI simply can't replicate. World was founded in 2019 and launched globally in 2023. We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. Our teams come from OpenAI, Tesla, SpaceX, Apple, Google, Stripe, Meta, Coinbase, Palantir and MIT Media Lab. We're backed by leading investors, including a16z, Khosla Ventures, Bain Capital Crypto, Blockchain Capital, Variant, Tiger Global, and Coinbase Ventures, as well as prominent operators and founders across fintech and AI. World has been featured on the cover of TIME Magazine, highlighted in Fast Company's Next 5 in Fintech, and explored in a Bloomberg deep dive. The New York Times, Bankless and TechCrunch have all recognized our progress in identity, cryptography, AI, and global scale hardware deployment. Our leadership is also named to the Time AI 100. Learn more about the newest product launches from our Unwrapped event. About the team The Device Software team develops the magical experiences that enable the missions of TFH. We are passionate about making great products. We own problems end-to-end and are able to lead cross functional teams when needed. We love to collaborate but are not afraid to make decisions. We value open communication and are not afraid to fail - we see the value in learning quickly more than making a perfect decision. We really enjoy working with each other and only bring on the best talent. About the role We are looking for a Device Automation & QA Manager to own software quality end-to-end for our device platforms. This role is the final quality gate for device software releases and operates alongside but independently from product development teams, with clear accountability for release readiness, test coverage, and test fleet health. You will design, build, and operate a scalable automated test infrastructure spanning devices, hardware in the loop (HIL), backend services, and CI/CD systems. You will also manage and grow a highly technical QA and automation team. Your work will directly enable faster development cycles, higher release confidence, and fewer issues reaching the field. This is a hands on leadership role. You will write and review test code, design test architectures, interact directly with hardware, and set the quality bar for multiple device product lines. Over time, this role will define how quality scales as our device portfolio, team size, and system complexity grow. In this role, you will: Own the automation and QA strategy for Device Software, serving as the independent verification and final release gate for all device releases Recruit and hire top talent to the QA team that will be able to be self sufficient within the realms of software, hardware and fleet management Act as the build and release manager including release scheduling, readiness reviews, and release notes Design, implement, and evolve a large scale automated test fleet, including test devices, test stations, and custom HIL systems Architect and operate test infrastructure spanning: Devices (Orb and future products) Test stations that interact with devices like a human would Backend services, CI/CD pipelines, and fleet management tooling Designing and automating regression, smoke, and nightly test workflows Define quality benchmarks and test strategies in partnership with project leads for new products and features Build and manage a team of Automation / QA Engineers, including hiring, mentoring, and performance management Enable scalable fleet operations, including: Automated test deployment and updates CI-triggered test execution Monitoring and troubleshooting of test failures Investigate and reproduce field issues, acting as first-line triage before handing off to firmware, software, hardware, and backend teams Continuously improve test coverage, execution speed, and system reliability, including negative and fault-injection testing You might thrive in this role if you have: Deeply hands on with software and hardware, comfortable debugging real devices, test rigs, and electrical signals Designed or owned automation systems at scale, including fleets of test devices Write and review high quality test code and enjoy building reusable, maintainable test frameworks and libraries Can read production firmware and software code to understand system behavior and translate that understanding into targeted tests Naturally curious and proactive - you dig for bugs, edge cases, and failure modes others miss. A human fuzz tester Comfortable setting direction with ambiguity and do not require detailed test instructions to get started Lead with collaboration and low ego, earning trust by delivering value Enjoy mentoring and growing engineers, and can develop senior ICs into technical or project leads Think in systems - anticipating future bottlenecks in testing, release processes, and infrastructure before they become problems Not afraid to break things in the name of learning, validation, and quality Pay transparency statement (for CA and NY based roles): The reasonably estimated salary for this role at TFH in San Francisco ranges from $217,000 - $260,000, plus a competitive long term incentive package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, vision and mental health benefits, a 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend and much more!
Senior Software Engineer, Backend - Frontier Data
Scale AI San Francisco, California
The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full-time software engineering experience (post-graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services). Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database-backed application development. Compensation & Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 USD. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full-time software engineering experience (post-graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services). Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database-backed application development. Compensation & Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 USD. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior Software Engineer, Android Test Engineering
Reddit, Inc. San Francisco, California
Senior Software Engineer, Android Test Engineering Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit . The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines. Responsibilities Help in building an Engineering culture that enables quality in all software feature development teams across Reddit. Develop and evolve test automation frameworks, tools, and services. Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing. Maintain test infrastructure stability in non-production environments. Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution. Influence the entire engineering organization on unit/integration/end-to-end tests. Required Qualifications 5+ years of experience as an SDET, or as a Software Engineer for Android platform 3+ years in Android development Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin. Preferred experience in JetPack Compose. Experience in unit, snapshot, and end-to-end testing of Android applications Experience in building test frameworks and automated tests for native Mobile applications Strong understanding of CI/CD process and quality checks in the workflow. Strong understanding of QA methodologies for mobile applications releases. Working proficiency and communication skills in verbal and written English. Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Mental Health & Coaching Benefits Pay Transparency This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD Equal Employment Opportunity Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. To bring community and belonging to everyone in the world, Reddit's employees must represent communities and redditors on our platform. Our vision at Reddit is to have a workforce representative of people with different perspectives and experiences, including but not limited to, gender, race and ethnicity, sexual orientation, age, national origin, religion, and political views.
04/02/2026
Full time
Senior Software Engineer, Android Test Engineering Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit . The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines. Responsibilities Help in building an Engineering culture that enables quality in all software feature development teams across Reddit. Develop and evolve test automation frameworks, tools, and services. Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing. Maintain test infrastructure stability in non-production environments. Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution. Influence the entire engineering organization on unit/integration/end-to-end tests. Required Qualifications 5+ years of experience as an SDET, or as a Software Engineer for Android platform 3+ years in Android development Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin. Preferred experience in JetPack Compose. Experience in unit, snapshot, and end-to-end testing of Android applications Experience in building test frameworks and automated tests for native Mobile applications Strong understanding of CI/CD process and quality checks in the workflow. Strong understanding of QA methodologies for mobile applications releases. Working proficiency and communication skills in verbal and written English. Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Mental Health & Coaching Benefits Pay Transparency This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD Equal Employment Opportunity Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. To bring community and belonging to everyone in the world, Reddit's employees must represent communities and redditors on our platform. Our vision at Reddit is to have a workforce representative of people with different perspectives and experiences, including but not limited to, gender, race and ethnicity, sexual orientation, age, national origin, religion, and political views.
Anti-Data Scientist
Waterlily Caregiving Inc. San Francisco, California
Location: Remote (Waterlily HQ is based on San Francisco, CA) About Us Waterlily uses AI to help families prepare for the largest financial and medical event in their lives, long-term care (LTC). Through comprehensive care planning and optimization, Waterlily is bending Americas multi-trillion dollar LTC cost curve. Our Team & Culture We've built a high-performance team culture based on three core principles: We're deeply committed to transforming how families prepare for long-term care Every team member genuinely believes in our mission and understands its importance We prioritize work that drives meaningful impact for our customers and company We make decisions swiftly while remaining thoughtful and open to iteration We focus on execution and results rather than just effort, recognizing that input doesn't necessarily equal output We value team members who show unlimited potential for growth and understanding Radical Transparency & Support We practice direct, honest communication while maintaining empathy and respect Feedback flows freely in all directions - from intern to leadership and back We begin meetings with brief check-ins to understand each other's context We create safe spaces for vulnerability and authentic collaboration We maintain high standards while supporting each other's growth and wellbeing Our team comprises some of the brightest, most ambitious, playful, and friendly people youll meet. Youll be working closely with our founding Waterlily team, including Lily, Evan, and Tim, and have direct access to a support team in the Philippines. Lily Vittayarukskul, our CEO, is a patented inventor who started college at 14, attending UC Berkeley, was working at NASA when she was 16, and lead product and engineering at IoT medical device startups for years before founding Waterlily. Evan Ehrenberg, our COO, is a member of Forbes 30 Under 30, started college at 11, also attending UC Berkeley, and then continued on to his Ph.D. in computational neuroscience at MIT at 16 before dropping out at 21 to found Clara Health, a clinical trials SaaS platform and B2B2C marketplace, which he sold 7 years later before joining Waterlily. Our founding engineer and data scientist, Tim Chung, holds a Masters of Computer Science from UPenn and is midway through a Data Science Masters at Georgia Tech. Tim excels in a trio of roles: data scientist, machine learning engineer, and full-stack software engineer. At his previous companies, he led teams to launch pioneering machine learning models. How We Work We optimize for remote-first collaboration while maintaining high productivity We emphasize contextual decision-making and practical solutions We prioritize deep work and focused execution over unnecessary meetings We consistently validate that we're working on the highest-impact initiatives We maintain a healthy, growth-oriented mindset while pushing for exceptional results We're looking for teammates who share our values of integrity, empathy, and intelligent hard work - people who can see beyond their immediate role to understand both company needs and customer impact. We're seeking a talented full-stack data scientist who embodies our values of resilience, execution focus, and mission-driven innovation. The ideal candidate isn't just a skilled data scientist they're a builder who sees beyond code to understand the larger business and human impact of their work. You have a track record of rapidly learning new technologies and business domains You see challenges as opportunities and adapt quickly to changing priorities You're comfortable with ambiguity and can make swift, informed decisions You have a history of building solutions that challenge traditional approaches You can point to specific examples where you've used automation or AI to multiply your impact You focus on getting things done rather than achieving perfection on the first try You have experience or strong interest in leveraging LLMs and offshore teams as force multipliers Leadership & Communication You give and receive direct feedback with grace and professionalism You can clearly explain complex technical concepts to non-technical stakeholders You're comfortable leading discussions and driving decisions You naturally build trust through transparency and reliable execution Mission Alignment You're drawn to meaningful work that impacts families' lives You understand that sustained high performance requires maintaining personal wellbeing You're excited about joining a team that values both ambitious goals and sustainable pace You're genuinely interested in transforming how families prepare for long-term care The Ideal Background While we value potential over experience, you likely have: Demonstrated ability to own and deliver full-stack projects end-to-end Experience with modern web development frameworks and cloud architecture Track record of improving team efficiency through automation and process innovation History of taking initiative and driving results without extensive oversight We're not looking for someone who's done it all before we're looking for someone who has the raw talent and drive to help us pioneer new approaches to software development and team collaboration. If you're excited about pushing boundaries, learning rapidly, and making a real difference in people's lives, we want to talk to you. About The Role You will be tasked with owning and scaling mission-critical features across the entire software stack. The goal will be to push beyond industry best-practices in software development by innovating new strategies that leverage LLMs and offshore teams to achieve company-defining results for a fraction of the time and cost of what other companies have previously achieved. You will be working with our founding US-based team and report directly to our co-founder and COO, Evan Ehrenberg, and you will grow to work with and support the management of a team of 40+ in the Philippines. You will collaborate on new ideas and implement quickly to test and iterate. Many ideas will not work and will be thrown away. Many ideas will need to be imperfect so that we can implement them faster. Everything will be iterative, no challenge will be too ambitious. You will be challenged to produce meaningful results every week. It will likely take you more than 40 hours per week to drive industry-leading results. We do not think that 80 hour weeks are sustainable or effective in the long run, and so while there may be incredibly important times where we mutually decide to be opportunistic to push ourselves to that amount of work to accomplish something very time sensitive, we expect you to generally limit yourself to 50-60 hour work-weeks. If you want to push harder we will urge you to reflect on ways to be more effective with your time so that you can dedicate your remaining time to benefit your mental and physical health. We will be in the trenches with you, and together we will create one of the most impactful companies that will help families prepare for what has historically been one of the most devastating times in their lives so that they can face long-term care with confidence and calm. Product Driven Customer Success: Your mission is to surprise and delight our customers through product initiatives that go above and beyond to make Waterlily their favorite company to work with. Full-Stack Development Leadership: Own and architect mission-critical features across the entire software stack, from frontend React/TypeScript applications to backend Node.js services, ensuring scalable and maintainable solutions that meet enterprise customer needs. AI/ML Integration: Design and implement innovative solutions leveraging LLMs and AI technologies to automate workflows, enhance product capabilities, and create novel approaches to software development that surpass traditional industry practices. Technical Architecture & Scalability: Develop and maintain AWS serverless architecture while ensuring system reliability, performance, and security at scale as we service Fortune 100 customers and major insurance carriers. Product Engineering: Collaborate closely with founders to rapidly prototype, test, and iterate on new features, balancing speed of implementation with code quality to achieve fast market validation. Offshore Team Leadership: Work with and support the management of a 40+ person Philippines-based team for QA testing, establishing best practices for collaboration and implementing systems to maximize team efficiency. Process Innovation: Pioneer new approaches to software development by combining LLMs, automation tools, and offshore resources to achieve significant improvements in development speed and cost-effectiveness. Cross-functional Collaboration: Partner with various departments to identify technical solutions for business challenges, particularly in areas of customer success, sales operations, and marketing automation. Technical Documentation: Create and maintain comprehensive documentation for systems, processes, and novel development approaches to enable knowledge sharing and team scaling. Key Skills & Qualifications Technical Expertise: We know that the best data scientists will pick up whatever tools they need on the job . click apply for full job details
04/02/2026
Full time
Location: Remote (Waterlily HQ is based on San Francisco, CA) About Us Waterlily uses AI to help families prepare for the largest financial and medical event in their lives, long-term care (LTC). Through comprehensive care planning and optimization, Waterlily is bending Americas multi-trillion dollar LTC cost curve. Our Team & Culture We've built a high-performance team culture based on three core principles: We're deeply committed to transforming how families prepare for long-term care Every team member genuinely believes in our mission and understands its importance We prioritize work that drives meaningful impact for our customers and company We make decisions swiftly while remaining thoughtful and open to iteration We focus on execution and results rather than just effort, recognizing that input doesn't necessarily equal output We value team members who show unlimited potential for growth and understanding Radical Transparency & Support We practice direct, honest communication while maintaining empathy and respect Feedback flows freely in all directions - from intern to leadership and back We begin meetings with brief check-ins to understand each other's context We create safe spaces for vulnerability and authentic collaboration We maintain high standards while supporting each other's growth and wellbeing Our team comprises some of the brightest, most ambitious, playful, and friendly people youll meet. Youll be working closely with our founding Waterlily team, including Lily, Evan, and Tim, and have direct access to a support team in the Philippines. Lily Vittayarukskul, our CEO, is a patented inventor who started college at 14, attending UC Berkeley, was working at NASA when she was 16, and lead product and engineering at IoT medical device startups for years before founding Waterlily. Evan Ehrenberg, our COO, is a member of Forbes 30 Under 30, started college at 11, also attending UC Berkeley, and then continued on to his Ph.D. in computational neuroscience at MIT at 16 before dropping out at 21 to found Clara Health, a clinical trials SaaS platform and B2B2C marketplace, which he sold 7 years later before joining Waterlily. Our founding engineer and data scientist, Tim Chung, holds a Masters of Computer Science from UPenn and is midway through a Data Science Masters at Georgia Tech. Tim excels in a trio of roles: data scientist, machine learning engineer, and full-stack software engineer. At his previous companies, he led teams to launch pioneering machine learning models. How We Work We optimize for remote-first collaboration while maintaining high productivity We emphasize contextual decision-making and practical solutions We prioritize deep work and focused execution over unnecessary meetings We consistently validate that we're working on the highest-impact initiatives We maintain a healthy, growth-oriented mindset while pushing for exceptional results We're looking for teammates who share our values of integrity, empathy, and intelligent hard work - people who can see beyond their immediate role to understand both company needs and customer impact. We're seeking a talented full-stack data scientist who embodies our values of resilience, execution focus, and mission-driven innovation. The ideal candidate isn't just a skilled data scientist they're a builder who sees beyond code to understand the larger business and human impact of their work. You have a track record of rapidly learning new technologies and business domains You see challenges as opportunities and adapt quickly to changing priorities You're comfortable with ambiguity and can make swift, informed decisions You have a history of building solutions that challenge traditional approaches You can point to specific examples where you've used automation or AI to multiply your impact You focus on getting things done rather than achieving perfection on the first try You have experience or strong interest in leveraging LLMs and offshore teams as force multipliers Leadership & Communication You give and receive direct feedback with grace and professionalism You can clearly explain complex technical concepts to non-technical stakeholders You're comfortable leading discussions and driving decisions You naturally build trust through transparency and reliable execution Mission Alignment You're drawn to meaningful work that impacts families' lives You understand that sustained high performance requires maintaining personal wellbeing You're excited about joining a team that values both ambitious goals and sustainable pace You're genuinely interested in transforming how families prepare for long-term care The Ideal Background While we value potential over experience, you likely have: Demonstrated ability to own and deliver full-stack projects end-to-end Experience with modern web development frameworks and cloud architecture Track record of improving team efficiency through automation and process innovation History of taking initiative and driving results without extensive oversight We're not looking for someone who's done it all before we're looking for someone who has the raw talent and drive to help us pioneer new approaches to software development and team collaboration. If you're excited about pushing boundaries, learning rapidly, and making a real difference in people's lives, we want to talk to you. About The Role You will be tasked with owning and scaling mission-critical features across the entire software stack. The goal will be to push beyond industry best-practices in software development by innovating new strategies that leverage LLMs and offshore teams to achieve company-defining results for a fraction of the time and cost of what other companies have previously achieved. You will be working with our founding US-based team and report directly to our co-founder and COO, Evan Ehrenberg, and you will grow to work with and support the management of a team of 40+ in the Philippines. You will collaborate on new ideas and implement quickly to test and iterate. Many ideas will not work and will be thrown away. Many ideas will need to be imperfect so that we can implement them faster. Everything will be iterative, no challenge will be too ambitious. You will be challenged to produce meaningful results every week. It will likely take you more than 40 hours per week to drive industry-leading results. We do not think that 80 hour weeks are sustainable or effective in the long run, and so while there may be incredibly important times where we mutually decide to be opportunistic to push ourselves to that amount of work to accomplish something very time sensitive, we expect you to generally limit yourself to 50-60 hour work-weeks. If you want to push harder we will urge you to reflect on ways to be more effective with your time so that you can dedicate your remaining time to benefit your mental and physical health. We will be in the trenches with you, and together we will create one of the most impactful companies that will help families prepare for what has historically been one of the most devastating times in their lives so that they can face long-term care with confidence and calm. Product Driven Customer Success: Your mission is to surprise and delight our customers through product initiatives that go above and beyond to make Waterlily their favorite company to work with. Full-Stack Development Leadership: Own and architect mission-critical features across the entire software stack, from frontend React/TypeScript applications to backend Node.js services, ensuring scalable and maintainable solutions that meet enterprise customer needs. AI/ML Integration: Design and implement innovative solutions leveraging LLMs and AI technologies to automate workflows, enhance product capabilities, and create novel approaches to software development that surpass traditional industry practices. Technical Architecture & Scalability: Develop and maintain AWS serverless architecture while ensuring system reliability, performance, and security at scale as we service Fortune 100 customers and major insurance carriers. Product Engineering: Collaborate closely with founders to rapidly prototype, test, and iterate on new features, balancing speed of implementation with code quality to achieve fast market validation. Offshore Team Leadership: Work with and support the management of a 40+ person Philippines-based team for QA testing, establishing best practices for collaboration and implementing systems to maximize team efficiency. Process Innovation: Pioneer new approaches to software development by combining LLMs, automation tools, and offshore resources to achieve significant improvements in development speed and cost-effectiveness. Cross-functional Collaboration: Partner with various departments to identify technical solutions for business challenges, particularly in areas of customer success, sales operations, and marketing automation. Technical Documentation: Create and maintain comprehensive documentation for systems, processes, and novel development approaches to enable knowledge sharing and team scaling. Key Skills & Qualifications Technical Expertise: We know that the best data scientists will pick up whatever tools they need on the job . click apply for full job details
Senior Software Engineer, Backend - Frontier Data
Scale AI, Inc. San Francisco, California
The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool use orchestration, GUI/computer use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full time software engineering experience (post graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container based services). Demonstrated ability to ship quickly in ambiguous, fast changing environments (high growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 USD. PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool use orchestration, GUI/computer use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full time software engineering experience (post graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container based services). Demonstrated ability to ship quickly in ambiguous, fast changing environments (high growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 USD. PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior Software Engineer, Android Test Engineering
Reddit, Inc. Chicago, Illinois
Senior Software Engineer, Android Test Engineering Chicago, IL Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit . The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines. Responsibilities Help in building an Engineering culture that enables quality in all software feature development teams across Reddit. Develop and evolve test automation frameworks, tools, and services. Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing. Maintain test infrastructure stability in non-production environments. Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution. Influence the entire engineering organization on unit/integration/end-to-end tests. Required Qualifications 5+ years of experience as an SDET, or as a Software Engineer for Android platform. 3+ years in Android development. Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications. Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin. Preferred experience in JetPack Compose. Experience in unit, snapshot, and end-to-end testing of Android applications. Experience in building test frameworks and automated tests for native Mobile applications. Strong understanding of CI/CD process and quality checks in the workflow. Strong understanding of QA methodologies for mobile applications releases. Working proficiency and communication skills in verbal and written English. Comprehensive Healthcare Benefits and Income Replacement Programs. 401k with Employer Match. Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support. Family Planning Support. Mental Health & Coaching Benefits. Pay Transparency This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
04/02/2026
Full time
Senior Software Engineer, Android Test Engineering Chicago, IL Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit . The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines. Responsibilities Help in building an Engineering culture that enables quality in all software feature development teams across Reddit. Develop and evolve test automation frameworks, tools, and services. Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing. Maintain test infrastructure stability in non-production environments. Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution. Influence the entire engineering organization on unit/integration/end-to-end tests. Required Qualifications 5+ years of experience as an SDET, or as a Software Engineer for Android platform. 3+ years in Android development. Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications. Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin. Preferred experience in JetPack Compose. Experience in unit, snapshot, and end-to-end testing of Android applications. Experience in building test frameworks and automated tests for native Mobile applications. Strong understanding of CI/CD process and quality checks in the workflow. Strong understanding of QA methodologies for mobile applications releases. Working proficiency and communication skills in verbal and written English. Comprehensive Healthcare Benefits and Income Replacement Programs. 401k with Employer Match. Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support. Family Planning Support. Mental Health & Coaching Benefits. Pay Transparency This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Firmware Engineer in Test
Afero Los Altos, California
Firmware Engineer in Test Join to apply for the Firmware Engineer in Test role at Afero. This range is provided by Afero. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $185,000.00/yr - $230,000.00/yr Why Join Afero? Come change the world, a gazillion connections at a time! Our vision is to make all the world's devices really smart and truly secure, through innovation and scale. Come make it happen. Afero is the leading PaaS for IoT manufacturers and brands, enabling connected devices to be both smart and secure. Afero built its foundation on security, data privacy, simplicity and ease of use. Today, Afero technology powers millions of devices across more than 600 SKUs from 50+ manufacturers, including well known brands like Defiant, Hampton Bay and EcoSmart. Afero has more than 123 patents, one of the largest IoT patent portfolios globally, and was named an 2024 IoT Breakthrough Winner for IoT Security Platform of the Year. Afero is driven by a team of world class executives and veterans in mobile, hardware, security, consumer and cloud, leveraging experience from Google, Apple, Microsoft, Amazon, Netflix, Disney, Roku and Danger. Afero provides a fantastic opportunity to explore and to expand your expertise while driving product innovation into exciting new ecosystems. To learn more, please visit . Who We Are We're a small team responsible for testing a complex platform, working very closely with both engineering and product/project/program management. Our QA team has a big impact on not just the quality of everything we release, but also in what we build, how it's built, and when it gets released. We're lucky enough to work with an organization that fully understands the value of QA, and that means we have a significant impact across engineering and on the company. Who We're Looking For / Responsibilities Afero is looking for an experienced engineer with a background in designing, developing, setting up and deploying test frameworks to test system firmware running on hardware platforms. The ideal candidate will have enthusiasm for independently digging into complexity, building new solutions, and increasing effectiveness in a collaborative environment. You'll be a key part of scaling and evolving Afero's platform. Requirements 10+ years of experience testing firmware running on devices (preferably consumer electronics devices) with at least 3 years of direct experience designing, setting up, and running automated testing of devices with embedded firmware Expertise designing automated test set ups for validating complex firmware interacting with hardware Expertise designing, developing and setting up automated tests for firmware validation Expertise developing Python-based automation for embedded systems, and familiarity with PySerial, libusb, and python object classes for implementing low level APIs, etc Experience testing boot loaders, and device drivers for embedded devices (RTOS and/or Linux) Comfortable working with test frameworks of end to end testing of devices with other system components such as cloud and mobile apps Experience designing automation labs to run validation tests, and to collect performance metrics Demonstrated ability to influence adoption of scalable test methodologies which drive clear impact on organizational effectiveness Strong verbal and written communication skills - you'll need to write clear and well constructed bug reports, test cases, and documentation Demonstrated ability to work independently as well as contributing to the success of the team - you'll interact with the entire Engineering team, while managing and prioritizing your own tasks in a fast paced environment Empathy for users, an eye for usability, and ability to invent imaginative but reality based tests is a plus Experience with any form of test automation for IOT devices is a plus Experience creating HIL (Hardware In the Loop) test rigs as well as specification and creation of hardware models to facilitate scalable testing is a plus Experience creating test rigs to test wireless network functionality of embedded devices to test resiliency is a plus The role is local to the SF Bay area, and requires in office work 3 days per week at the company headquarters in Los Altos, CA Applicants must be authorized to work for any employer in the U.S. Afero is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status. The US base salary range for this full time position is expected to be $185,000 - $230,000. Actual pay is determined by a range of factors including work location, job related skills and experience, relevant education, training or certifications, and other business and organizational needs. At Afero it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. This range reflects base salary only; Afero also offers competitive benefits and equity compensation which are not included in these numbers. Seniority level: Not Applicable Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
04/02/2026
Full time
Firmware Engineer in Test Join to apply for the Firmware Engineer in Test role at Afero. This range is provided by Afero. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $185,000.00/yr - $230,000.00/yr Why Join Afero? Come change the world, a gazillion connections at a time! Our vision is to make all the world's devices really smart and truly secure, through innovation and scale. Come make it happen. Afero is the leading PaaS for IoT manufacturers and brands, enabling connected devices to be both smart and secure. Afero built its foundation on security, data privacy, simplicity and ease of use. Today, Afero technology powers millions of devices across more than 600 SKUs from 50+ manufacturers, including well known brands like Defiant, Hampton Bay and EcoSmart. Afero has more than 123 patents, one of the largest IoT patent portfolios globally, and was named an 2024 IoT Breakthrough Winner for IoT Security Platform of the Year. Afero is driven by a team of world class executives and veterans in mobile, hardware, security, consumer and cloud, leveraging experience from Google, Apple, Microsoft, Amazon, Netflix, Disney, Roku and Danger. Afero provides a fantastic opportunity to explore and to expand your expertise while driving product innovation into exciting new ecosystems. To learn more, please visit . Who We Are We're a small team responsible for testing a complex platform, working very closely with both engineering and product/project/program management. Our QA team has a big impact on not just the quality of everything we release, but also in what we build, how it's built, and when it gets released. We're lucky enough to work with an organization that fully understands the value of QA, and that means we have a significant impact across engineering and on the company. Who We're Looking For / Responsibilities Afero is looking for an experienced engineer with a background in designing, developing, setting up and deploying test frameworks to test system firmware running on hardware platforms. The ideal candidate will have enthusiasm for independently digging into complexity, building new solutions, and increasing effectiveness in a collaborative environment. You'll be a key part of scaling and evolving Afero's platform. Requirements 10+ years of experience testing firmware running on devices (preferably consumer electronics devices) with at least 3 years of direct experience designing, setting up, and running automated testing of devices with embedded firmware Expertise designing automated test set ups for validating complex firmware interacting with hardware Expertise designing, developing and setting up automated tests for firmware validation Expertise developing Python-based automation for embedded systems, and familiarity with PySerial, libusb, and python object classes for implementing low level APIs, etc Experience testing boot loaders, and device drivers for embedded devices (RTOS and/or Linux) Comfortable working with test frameworks of end to end testing of devices with other system components such as cloud and mobile apps Experience designing automation labs to run validation tests, and to collect performance metrics Demonstrated ability to influence adoption of scalable test methodologies which drive clear impact on organizational effectiveness Strong verbal and written communication skills - you'll need to write clear and well constructed bug reports, test cases, and documentation Demonstrated ability to work independently as well as contributing to the success of the team - you'll interact with the entire Engineering team, while managing and prioritizing your own tasks in a fast paced environment Empathy for users, an eye for usability, and ability to invent imaginative but reality based tests is a plus Experience with any form of test automation for IOT devices is a plus Experience creating HIL (Hardware In the Loop) test rigs as well as specification and creation of hardware models to facilitate scalable testing is a plus Experience creating test rigs to test wireless network functionality of embedded devices to test resiliency is a plus The role is local to the SF Bay area, and requires in office work 3 days per week at the company headquarters in Los Altos, CA Applicants must be authorized to work for any employer in the U.S. Afero is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status. The US base salary range for this full time position is expected to be $185,000 - $230,000. Actual pay is determined by a range of factors including work location, job related skills and experience, relevant education, training or certifications, and other business and organizational needs. At Afero it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. This range reflects base salary only; Afero also offers competitive benefits and equity compensation which are not included in these numbers. Seniority level: Not Applicable Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
QA Automation Engineer (contract)
Checksum.ai San Francisco, California
Checksum.ai is a high-growth, startup revolutionizing software testing with AI-powered, self-healing QA automation. We are backed by start up studio super set whose co-founders have over $1B in exits including Microsoft and Salesforce. Our platform eliminates the need for manual test maintenance by automatically generating and adapting tests based on real user behavior. Engineering teams can now release faster without sacrificing quality-and our traction proves it: we've grown ARR 100% in the last six months. We're looking for a proactive and impact-driven QA Automation Engineer to develop and execute automated test scripts, integrate AI models into workflows, and collaborate closely with developers and co-founders in a fast-paced startup environment. This is a high-impact opportunity offering hands-on collaboration, strong growth opportunities, and the chance to shape QA processes in an AI-driven DevOps company. This is a on-site position based in our San Francisco office 4 days a week. Candidates must already be in commutable distance to the San Francisco Office. Why Join Checksum? Explosive Growth - tripled ARR in the past 9 months, selling into a booming market. Cutting-Edge AI - Work on a leading engineering teams adopting AI/ML-driven DevOps solutions. High Impact - Work directly with our co-founders and engineers to shape the product Well-Funded & Backed by Experts - Supported by Super Set , a top-tier startup studio with multiple successful exits. What You'll Do Write clear, concise, and well-structured automated test scripts that cover a wide range of scenarios and edge cases. Integrating AI models into your day to day work flow Execute automated tests regularly and analyze test results to identify and report defects. Collaborate with developers to reproduce and troubleshoot issues found during testing. Maintain and update test reports and metrics to track the effectiveness of test automation efforts. Contribute to the development and maintenance of QA processes and documentation. Work closely with Checksum Co-founder and other engineers to ensure the smooth integration of automated tests into the software development lifecycle. Who You are 1+ years of experience with Playwright, Cypress, or other web automation frameworks, or a strong background in frontend development. A proactive approach and a drive to make an impact. Experience with AI models and integrating them into your workflow. Excited to work in an early-stage, fast-paced environment where playbooks are still being built. Excited about the opportunity to collaborate with external customers and manage client relationships Ability to come into the SF Office 4-5 days a week What We Offer Catered lunch 3 days a week in our San Francisco office (hybrid flexibility available). A fast-moving, collaborative team that values execution over ego. A strategic role in shaping the growth trajectory of a cutting-edge AI startup. Hand on collaboration with our co-founders and leadership Join us in shaping the future of AI-powered software testing! If you're a hard working and curious engineer who is ready to dive into the work of QA, work closely with founders, and help build a world-class product, we want to hear from you. Apply today! The estimated hourly rate range for this position is $25 to $40, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. We do not accept resumes from headhunters, placement agencies, or any 3rd parties. All submissions will be considered a gift and no fee will be due. Seniority level Seniority levelEntry level Employment type Employment typeContract Job function Job functionQuality Assurance, Engineering, and Customer Service IndustriesTechnology, Information and Internet Referrals increase your chances of interviewing at Checksum.ai by 2x Get notified about new Quality Assurance Automation Engineer jobs in San Francisco, CA . Junior QA Engineer - Awesome Recent Grad OpportunityQuality Assurance Engineer (Manual), iOS - San Francisco, USA San Francisco, CA $140,000.00-$200,000.00 4 days ago Senior Software Quality Assurance Engineer - Master Lock San Francisco, CA $100,000.00-$165,000.00 2 weeks ago Alameda, CA $98,000.00-$196,000. hours ago San Francisco, CA $157,000.00-$180,000.00 1 hour ago Backend Software Engineer, Test Infrastructure San Francisco, CA $150,000.00-$180,000.00 6 days ago Software Development Engineer in Test, Product Software - Operational Tools Foster City, CA $183,000.00-$224,000.00 3 weeks ago San Francisco, CA $150,000.00-$180,000.00 3 months ago Quality Assurance Automation Engineer (Investment Management)Senior SDET II (Software Development Engineer in Test) San Mateo, CA $150,000.00-$160,000.00 2 months ago Staff Design Assurance Quality Engineer- SoftwareLead Software Development Engineer in TestLead Test Automation Engineer - Hardware San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $193,000.00-$248,000.00 1 day ago Senior Hardware Test Automation Engineer South San Francisco, CA $160,000.00-$190,000.00 1 day ago Staff Software Development Engineer In Test We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
Checksum.ai is a high-growth, startup revolutionizing software testing with AI-powered, self-healing QA automation. We are backed by start up studio super set whose co-founders have over $1B in exits including Microsoft and Salesforce. Our platform eliminates the need for manual test maintenance by automatically generating and adapting tests based on real user behavior. Engineering teams can now release faster without sacrificing quality-and our traction proves it: we've grown ARR 100% in the last six months. We're looking for a proactive and impact-driven QA Automation Engineer to develop and execute automated test scripts, integrate AI models into workflows, and collaborate closely with developers and co-founders in a fast-paced startup environment. This is a high-impact opportunity offering hands-on collaboration, strong growth opportunities, and the chance to shape QA processes in an AI-driven DevOps company. This is a on-site position based in our San Francisco office 4 days a week. Candidates must already be in commutable distance to the San Francisco Office. Why Join Checksum? Explosive Growth - tripled ARR in the past 9 months, selling into a booming market. Cutting-Edge AI - Work on a leading engineering teams adopting AI/ML-driven DevOps solutions. High Impact - Work directly with our co-founders and engineers to shape the product Well-Funded & Backed by Experts - Supported by Super Set , a top-tier startup studio with multiple successful exits. What You'll Do Write clear, concise, and well-structured automated test scripts that cover a wide range of scenarios and edge cases. Integrating AI models into your day to day work flow Execute automated tests regularly and analyze test results to identify and report defects. Collaborate with developers to reproduce and troubleshoot issues found during testing. Maintain and update test reports and metrics to track the effectiveness of test automation efforts. Contribute to the development and maintenance of QA processes and documentation. Work closely with Checksum Co-founder and other engineers to ensure the smooth integration of automated tests into the software development lifecycle. Who You are 1+ years of experience with Playwright, Cypress, or other web automation frameworks, or a strong background in frontend development. A proactive approach and a drive to make an impact. Experience with AI models and integrating them into your workflow. Excited to work in an early-stage, fast-paced environment where playbooks are still being built. Excited about the opportunity to collaborate with external customers and manage client relationships Ability to come into the SF Office 4-5 days a week What We Offer Catered lunch 3 days a week in our San Francisco office (hybrid flexibility available). A fast-moving, collaborative team that values execution over ego. A strategic role in shaping the growth trajectory of a cutting-edge AI startup. Hand on collaboration with our co-founders and leadership Join us in shaping the future of AI-powered software testing! If you're a hard working and curious engineer who is ready to dive into the work of QA, work closely with founders, and help build a world-class product, we want to hear from you. Apply today! The estimated hourly rate range for this position is $25 to $40, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. We do not accept resumes from headhunters, placement agencies, or any 3rd parties. All submissions will be considered a gift and no fee will be due. Seniority level Seniority levelEntry level Employment type Employment typeContract Job function Job functionQuality Assurance, Engineering, and Customer Service IndustriesTechnology, Information and Internet Referrals increase your chances of interviewing at Checksum.ai by 2x Get notified about new Quality Assurance Automation Engineer jobs in San Francisco, CA . Junior QA Engineer - Awesome Recent Grad OpportunityQuality Assurance Engineer (Manual), iOS - San Francisco, USA San Francisco, CA $140,000.00-$200,000.00 4 days ago Senior Software Quality Assurance Engineer - Master Lock San Francisco, CA $100,000.00-$165,000.00 2 weeks ago Alameda, CA $98,000.00-$196,000. hours ago San Francisco, CA $157,000.00-$180,000.00 1 hour ago Backend Software Engineer, Test Infrastructure San Francisco, CA $150,000.00-$180,000.00 6 days ago Software Development Engineer in Test, Product Software - Operational Tools Foster City, CA $183,000.00-$224,000.00 3 weeks ago San Francisco, CA $150,000.00-$180,000.00 3 months ago Quality Assurance Automation Engineer (Investment Management)Senior SDET II (Software Development Engineer in Test) San Mateo, CA $150,000.00-$160,000.00 2 months ago Staff Design Assurance Quality Engineer- SoftwareLead Software Development Engineer in TestLead Test Automation Engineer - Hardware San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $193,000.00-$248,000.00 1 day ago Senior Hardware Test Automation Engineer South San Francisco, CA $160,000.00-$190,000.00 1 day ago Staff Software Development Engineer In Test We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Hewlett Packard Enterprise
Senior Networking Software Engineer
Hewlett Packard Enterprise
Overview This role has been designed as onsite with an expectation that you will primarily work from an HPE office. About Hewlett Packard Enterprise Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description The Senior Networking Software Engineer role designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including routers, networks, utilities, databases and Internet-related tools. Responsibilities Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Writes and executes complete testing plans, protocols, and documentation for assigned portion of application; identifies and debugs, and creates solutions for issues with code and integration into application architecture. Work closely with cross-functional teams to define system requirements and specifications. Provides guidance and mentoring to less- experienced staff members. Participate on customer escalation calls and debugging Write and optimize code for performance, reliability, and memory usage Analyze and resolve issues during development and testing phases Education And Experience Required Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. Typically 4-6 years experience. Knowledge And Skills Strong C, Python programming skills. Strong knowledge of Networking protocols, TCP/IP, and applications ARP, DHCP, FTP etc. Strong knowledge of switching and routing protocols Strong background in computer science/software engineering concepts including data structures, algorithms. Demonstrated abilities in designing robust and scalable applications in embedded and cloud Familiarity with Agile development methodologies and CI/CD environment Demonstrated abilities to work with QA and Remote Teams. Demonstrated abilities to prepare necessary Design Specifications, participate in Design and Code Reviews and work with Customer Support Teams for Customer Escalation Proficiency with version control tools like Git. Additional Skills Cloud Architectures Cross Domain Knowledge Design Thinking Development Fundamentals DevOps Distributed Computing Microservices Fluency Full Stack Development Security-First Mindset Solutions Design Testing & Automation User Experience (UX) What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected on Instagram to see the latest on people, culture and tech at HPE. Job Engineering Job Level TCP_04 The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. - United States of America: Annual Salary USD 136,500 - 276,500 in California The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at Equal Employment Opportunity HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammers impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.
04/02/2026
Full time
Overview This role has been designed as onsite with an expectation that you will primarily work from an HPE office. About Hewlett Packard Enterprise Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description The Senior Networking Software Engineer role designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including routers, networks, utilities, databases and Internet-related tools. Responsibilities Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Writes and executes complete testing plans, protocols, and documentation for assigned portion of application; identifies and debugs, and creates solutions for issues with code and integration into application architecture. Work closely with cross-functional teams to define system requirements and specifications. Provides guidance and mentoring to less- experienced staff members. Participate on customer escalation calls and debugging Write and optimize code for performance, reliability, and memory usage Analyze and resolve issues during development and testing phases Education And Experience Required Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. Typically 4-6 years experience. Knowledge And Skills Strong C, Python programming skills. Strong knowledge of Networking protocols, TCP/IP, and applications ARP, DHCP, FTP etc. Strong knowledge of switching and routing protocols Strong background in computer science/software engineering concepts including data structures, algorithms. Demonstrated abilities in designing robust and scalable applications in embedded and cloud Familiarity with Agile development methodologies and CI/CD environment Demonstrated abilities to work with QA and Remote Teams. Demonstrated abilities to prepare necessary Design Specifications, participate in Design and Code Reviews and work with Customer Support Teams for Customer Escalation Proficiency with version control tools like Git. Additional Skills Cloud Architectures Cross Domain Knowledge Design Thinking Development Fundamentals DevOps Distributed Computing Microservices Fluency Full Stack Development Security-First Mindset Solutions Design Testing & Automation User Experience (UX) What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected on Instagram to see the latest on people, culture and tech at HPE. Job Engineering Job Level TCP_04 The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. - United States of America: Annual Salary USD 136,500 - 276,500 in California The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at Equal Employment Opportunity HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammers impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.
Manager, Software Engineer
Relativity Denver, Colorado
Posting Type: Hybrid Job Overview Relativity is a market-leading global tech company that equips legal and compliance professionals with a powerful platform to organize data, uncover the truth, and act on it. Our SaaS product, RelativityOne, is the fastest-growing in our company's history, trusted by the U.S. Department of Justice, 199 of the Am Law 200, and over 329,000 enabled users for litigation, internal investigations, and compliance projects. We've been consistently recognized as a great workplace, and we seek individuals who bring their authentic selves to our team. Job Description and Requirements As a Software Engineering Manager in Engineering Systems, you will: Lead an internal platform team that empowers Relativity developers to deliver high-value products. Lead and develop a high-performing team of software engineers. Serve as a subject matter expert for the product features your team owns. Make decisions regarding your team's operations and objectives. Receive mentorship and coaching from leadership to support your success. Key Responsibilities Include: People & Performance Management Oversee a Scrum team, ensuring its success through Agile principles and leadership. Foster a high-performance culture and cost-effective practices. Allocate team members' efforts strategically based on organizational needs. Drive organizational efficiency through industry best practices for SaaS products. Conduct 1:1 meetings to support your direct reports. Promote knowledge-sharing across the team. Offer technical leadership in your team's feature set or domain. Guide employees on career development and future opportunities. Manage the team's workload, hiring, and performance evaluation. Technology & Strategy Leadership Serve as a technology advisor, staying ahead of industry trends. Contribute hands on to software design, development, and integration. Leverage lead engineers and architects to develop effective solutions. Develop a strategic vision for your team's domain. Implement operational policies and drive process improvements. We enjoy working with smart, driven people who have fun building innovative solutions. We expect you to be versatile, display leadership qualities, and be excited to tackle new challenges across the full tech stack. Qualifications Positive attitude and strong teamwork skills. Bachelor's degree in computer science or a related field. 4+ years managing software development teams. 10+ years of experience in commercial grade software development. Experience leading remote teams. Strong knowledge of modern programming languages and object oriented programming. Strong knowledge of high performance, fault tolerant distributed systems. Strong knowledge of cloud environments (SaaS, PaaS). Strong knowledge of Infrastructure as Code (Terraform, Pulumi, etc.). Ability to motivate teams and improve efficiency under pressure. Strong verbal, presentation, and written communication skills. Experience with Agile methodologies. Experience with GitHub Actions, Jenkins, or other automation tools. Proven success leading SaaS or PaaS products. Cloud platforms (Azure preferred). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long term incentives. The expected salary range for this role is between $155,000 and $233,000. The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Suggested Skills: Budget Management, Engineering Management, Innovation, Leadership, Performance Management (PM), Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Stakeholder Management
04/02/2026
Full time
Posting Type: Hybrid Job Overview Relativity is a market-leading global tech company that equips legal and compliance professionals with a powerful platform to organize data, uncover the truth, and act on it. Our SaaS product, RelativityOne, is the fastest-growing in our company's history, trusted by the U.S. Department of Justice, 199 of the Am Law 200, and over 329,000 enabled users for litigation, internal investigations, and compliance projects. We've been consistently recognized as a great workplace, and we seek individuals who bring their authentic selves to our team. Job Description and Requirements As a Software Engineering Manager in Engineering Systems, you will: Lead an internal platform team that empowers Relativity developers to deliver high-value products. Lead and develop a high-performing team of software engineers. Serve as a subject matter expert for the product features your team owns. Make decisions regarding your team's operations and objectives. Receive mentorship and coaching from leadership to support your success. Key Responsibilities Include: People & Performance Management Oversee a Scrum team, ensuring its success through Agile principles and leadership. Foster a high-performance culture and cost-effective practices. Allocate team members' efforts strategically based on organizational needs. Drive organizational efficiency through industry best practices for SaaS products. Conduct 1:1 meetings to support your direct reports. Promote knowledge-sharing across the team. Offer technical leadership in your team's feature set or domain. Guide employees on career development and future opportunities. Manage the team's workload, hiring, and performance evaluation. Technology & Strategy Leadership Serve as a technology advisor, staying ahead of industry trends. Contribute hands on to software design, development, and integration. Leverage lead engineers and architects to develop effective solutions. Develop a strategic vision for your team's domain. Implement operational policies and drive process improvements. We enjoy working with smart, driven people who have fun building innovative solutions. We expect you to be versatile, display leadership qualities, and be excited to tackle new challenges across the full tech stack. Qualifications Positive attitude and strong teamwork skills. Bachelor's degree in computer science or a related field. 4+ years managing software development teams. 10+ years of experience in commercial grade software development. Experience leading remote teams. Strong knowledge of modern programming languages and object oriented programming. Strong knowledge of high performance, fault tolerant distributed systems. Strong knowledge of cloud environments (SaaS, PaaS). Strong knowledge of Infrastructure as Code (Terraform, Pulumi, etc.). Ability to motivate teams and improve efficiency under pressure. Strong verbal, presentation, and written communication skills. Experience with Agile methodologies. Experience with GitHub Actions, Jenkins, or other automation tools. Proven success leading SaaS or PaaS products. Cloud platforms (Azure preferred). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long term incentives. The expected salary range for this role is between $155,000 and $233,000. The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Suggested Skills: Budget Management, Engineering Management, Innovation, Leadership, Performance Management (PM), Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Stakeholder Management
Senior IT Engineer, LRC
Airwallex San Francisco, California
Join to apply for the Senior IT Engineer, LRC role at Airwallex About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder like energy who want real impact, accelerated learning, and true ownership. You bring strong role related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero to one ideas into real products, and you "get stuff done" end to end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About The Team Corporate IT drives our IT support, IT engineering and business engineering functions at Airwallex. IT Engineering is the core team that drives our technology experiences for Airwallex. From collaboration, automation and video conferencing to managing our computers, applications, identity and access management. We design, build and run the systems and services our Airwallex teams use to build our product, serve our customers and run our business. We partner with every team in the business, from Finance to Engineering, People and Support, we help solve problems and help drive Airwallex forward. What You'll Do As an IT Engineer, you'll focus on solving problems and fixing issues our business and IT operations teams encounter throughout the day. You'll work on systems and escalations, helping to fix issues and building and implementing solutions to our many challenges. This role will have a strong focus on workflows, automation and orchestration with our Legal, Risk and Compliance organization as well as serve as a member of our IT engineering team. Partnering with our Legal team, you'll help them work faster, leverage AI, build workflows and serve as the engineer to the team. This role is highly collaborative, and has a global impact from day one. Our LRC teams sit in many countries and regions, and you'll have a significant opportunity to build a new function within the IT engineering team. This role is based in Sydney, Melbourne, San Francisco or Singapore. Responsibilities Serve as the primary IT engineer for our LRC teams, learning and understanding their workflows, ways of working, and how they serve Airwallex, building a model to improve and scale their function Build workflows and orchestrations - these touch many systems and will impact many teams Use low code/no code tools to build automations/orchestrations (Workato, Okta Workflows, Zapier, etc.) Leverage, design, implement AI with a focus on the LRC function and the unique ways of working within an in house legal function Work with APIs across major vendors (Okta, Google, GCP, Aliyun, etc.) Build and enhance our AI portfolio, with an initial focus on legal specific tools and implementation (Harvey.ai, etc.) Become a trusted advisor to our LRC team and the IT engineering team, acting as an expert and consultant Build, enhance and grow legal applications and serve as the technical owner or primary IT engineer for the space (Ironclad, Auditboard, Google Workspace, internal tools, etc.) Manage and build service desks and orchestrations (Atlassian products, i.e. JIRA, Confluence, etc.) Own the full lifecycle of features and products within this space, from proof of concept to implementation to operations and maintenance - leading projects from start to finish Handle escalations from other IT teams where relevant Work closely with INFOSEC, People Ops, Engineering and IT teams to build systems that scale as we grow globally Integrate our tools with new and existing platforms (cloud, GCP, etc.) and across our SaaS portfolio (SFDC, Slack, Google, etc.) Build and maintain custom tools or services if needed Respond to incidents as part of an on call roster or in emergencies Write documentation and maintain diagrams of your solutions and applications, ensuring readability and understanding Work with IT Operations and IT Engineering to help fill gaps and collaborate on other projects and services Constantly learn, test, evaluate and enhance our products and offerings - never letting anything get stale Who You Are Bachelor's degree in Information Technology, Computer Science, or a related field, 5+ years of relevant experience in a similar role. Highly trustworthy and empathetic - this works with privileged information and with some of our most important information, trust is critical Autonomous and able to work with minimal direction while maintaining velocity and delivering projects on time - sometimes with aggressive deadlines and failure is not an option risk Strong ability to write strong technical documents Expert level understanding of common identity standards, including SAML, OAuth, SSO, etc. Expert knowledge of workflows and common orchestration tools (workato, etc.) Experience with a programming language, such as python, and infrastructure as code (i.e. Terraform) Experience with APIs, able to work with common vendors and integrate into our tech stack Experience using and understanding of cloud infrastructure (AWS, GCP, etc.) Understanding of RBAC, ABAC, PBAC, ACLs and common access management principles in security and corporate IT environments Experience working in all SaaS based systems and applications Strong understanding of MDM systems (macOS, windows; kandji, JAMF, intune, etc.) Ability to move fast and urgently, making correct decisions and assumptions - sometimes without all the information Applicant Safety Policy: Fraud and Third Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from email address. Please apply only through or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. Compensation Range: $150K - $250K Job Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology
04/02/2026
Full time
Join to apply for the Senior IT Engineer, LRC role at Airwallex About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder like energy who want real impact, accelerated learning, and true ownership. You bring strong role related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero to one ideas into real products, and you "get stuff done" end to end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About The Team Corporate IT drives our IT support, IT engineering and business engineering functions at Airwallex. IT Engineering is the core team that drives our technology experiences for Airwallex. From collaboration, automation and video conferencing to managing our computers, applications, identity and access management. We design, build and run the systems and services our Airwallex teams use to build our product, serve our customers and run our business. We partner with every team in the business, from Finance to Engineering, People and Support, we help solve problems and help drive Airwallex forward. What You'll Do As an IT Engineer, you'll focus on solving problems and fixing issues our business and IT operations teams encounter throughout the day. You'll work on systems and escalations, helping to fix issues and building and implementing solutions to our many challenges. This role will have a strong focus on workflows, automation and orchestration with our Legal, Risk and Compliance organization as well as serve as a member of our IT engineering team. Partnering with our Legal team, you'll help them work faster, leverage AI, build workflows and serve as the engineer to the team. This role is highly collaborative, and has a global impact from day one. Our LRC teams sit in many countries and regions, and you'll have a significant opportunity to build a new function within the IT engineering team. This role is based in Sydney, Melbourne, San Francisco or Singapore. Responsibilities Serve as the primary IT engineer for our LRC teams, learning and understanding their workflows, ways of working, and how they serve Airwallex, building a model to improve and scale their function Build workflows and orchestrations - these touch many systems and will impact many teams Use low code/no code tools to build automations/orchestrations (Workato, Okta Workflows, Zapier, etc.) Leverage, design, implement AI with a focus on the LRC function and the unique ways of working within an in house legal function Work with APIs across major vendors (Okta, Google, GCP, Aliyun, etc.) Build and enhance our AI portfolio, with an initial focus on legal specific tools and implementation (Harvey.ai, etc.) Become a trusted advisor to our LRC team and the IT engineering team, acting as an expert and consultant Build, enhance and grow legal applications and serve as the technical owner or primary IT engineer for the space (Ironclad, Auditboard, Google Workspace, internal tools, etc.) Manage and build service desks and orchestrations (Atlassian products, i.e. JIRA, Confluence, etc.) Own the full lifecycle of features and products within this space, from proof of concept to implementation to operations and maintenance - leading projects from start to finish Handle escalations from other IT teams where relevant Work closely with INFOSEC, People Ops, Engineering and IT teams to build systems that scale as we grow globally Integrate our tools with new and existing platforms (cloud, GCP, etc.) and across our SaaS portfolio (SFDC, Slack, Google, etc.) Build and maintain custom tools or services if needed Respond to incidents as part of an on call roster or in emergencies Write documentation and maintain diagrams of your solutions and applications, ensuring readability and understanding Work with IT Operations and IT Engineering to help fill gaps and collaborate on other projects and services Constantly learn, test, evaluate and enhance our products and offerings - never letting anything get stale Who You Are Bachelor's degree in Information Technology, Computer Science, or a related field, 5+ years of relevant experience in a similar role. Highly trustworthy and empathetic - this works with privileged information and with some of our most important information, trust is critical Autonomous and able to work with minimal direction while maintaining velocity and delivering projects on time - sometimes with aggressive deadlines and failure is not an option risk Strong ability to write strong technical documents Expert level understanding of common identity standards, including SAML, OAuth, SSO, etc. Expert knowledge of workflows and common orchestration tools (workato, etc.) Experience with a programming language, such as python, and infrastructure as code (i.e. Terraform) Experience with APIs, able to work with common vendors and integrate into our tech stack Experience using and understanding of cloud infrastructure (AWS, GCP, etc.) Understanding of RBAC, ABAC, PBAC, ACLs and common access management principles in security and corporate IT environments Experience working in all SaaS based systems and applications Strong understanding of MDM systems (macOS, windows; kandji, JAMF, intune, etc.) Ability to move fast and urgently, making correct decisions and assumptions - sometimes without all the information Applicant Safety Policy: Fraud and Third Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from email address. Please apply only through or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. Compensation Range: $150K - $250K Job Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology
Quality Assurance Test Engineer
Aechelon Technology Inc. San Francisco, California
Aechelon Technology, Inc.is a leading producer of 3D simulator content, including Geospecific visual/sensor databases and realistic 3D models. We seek people who share our passion for real-time computer graphics and commitment to our mission of helping make our Nation's pilots safer. We will give you a chance to work with some of the most talented people in the graphics industry. Our Software team is looking for a QA Test Engineer to help us in our mission. The QA Test Engineer role supports our Software, Database, and Systems Engineering teams by testing our proprietary Image Generator (pc Nova) by creating automated tests via scripts as well as maintaining our proprietary test system and test lab system at location. Our test system is designed to ensure that pc Nova performs at high framerates on high end hardware such as projectors, MR headsets, etc. This position requires Python programming expertise in order to maintain our current setup as well as build new test features as needed. This position requires 5 days per week in-office at the company's Kansas location: this is not a remote work position. Note that this requirement can change based on the applicant's familiarity with our test system infrastructure. United States citizenship required due to restrictions on access to certain data. Responsibilities Maintain the QA test lab to ensure all test system are operational to support the testing by Kansas-based engineers Work with platform team to either upgrade or order new test system (HW, FW & SW) as needed by Kansas-based engineers Work with Kansas-based engineers to reproduce issues in the lab Maintain the proprietary Python code for our automated test system Maintain + expand our Jenkins scripting to improve our automated test suite Create new automation scripts for complex testing requirements (stress tests, performance tests, special features, etc) Create and maintain an image diffing test suite Develop test plans and design automated tests using our proprietary test system Perform manual testing on new features for software releases when needed Communicate with other team members across time zones Be a resource for others to learn from about how to use our test system Help to document our test system for internal and external users Minimum Qualifications At least 3 years work experience coding in Python and C++ (or similar coding languages) At least 3 years' experience with testing 3D graphics applications and/or content creation tools Solid understanding of 3D graphics concepts Good eye that can notice both technical and aesthetic problems with software Experience with writing automated tests Strong experience using command prompts (DOS, bash, etc) Experience with project management for software using Jira (or similar) Detail oriented with strong organizational and communication skills and tenacity to follow through Eligibility to work with export controlled technology Bonus Points Video Game / 3D graphics testing experience Experience with flight simulation software Experience with VR or MR headset configuration/testing Experience with creating image diff tests Experience with Jira, Perforce, Visual Studio, Jenkins, Bash, GitHub Experience writing technical documentation Basic knowledge of 3D modeling, GIS, Geospatial or Geotypical content creation We offer a very attractive compensation package including competitive base salary, company performance based profit sharing, 401k, 100% employer paid health benefits (medical, dental, vision, life, std, ltd, and life insurance plans). For more information about our company, please visit . Aechelon Technology is an equal opportunity employer. We are committed to providing access and opportunities to individuals with disabilities. If you are an applicant who is unable to fully utilize/ access our application process because of a disability, Aechelon Technology will provide a reasonable accommodation. Please send an email to to request that accommodation, and please be sure to include a detailed description of your requested accommodation, your name and preferred method of contact. Seniority level: Mid Senior level Employment type: Full time
04/02/2026
Full time
Aechelon Technology, Inc.is a leading producer of 3D simulator content, including Geospecific visual/sensor databases and realistic 3D models. We seek people who share our passion for real-time computer graphics and commitment to our mission of helping make our Nation's pilots safer. We will give you a chance to work with some of the most talented people in the graphics industry. Our Software team is looking for a QA Test Engineer to help us in our mission. The QA Test Engineer role supports our Software, Database, and Systems Engineering teams by testing our proprietary Image Generator (pc Nova) by creating automated tests via scripts as well as maintaining our proprietary test system and test lab system at location. Our test system is designed to ensure that pc Nova performs at high framerates on high end hardware such as projectors, MR headsets, etc. This position requires Python programming expertise in order to maintain our current setup as well as build new test features as needed. This position requires 5 days per week in-office at the company's Kansas location: this is not a remote work position. Note that this requirement can change based on the applicant's familiarity with our test system infrastructure. United States citizenship required due to restrictions on access to certain data. Responsibilities Maintain the QA test lab to ensure all test system are operational to support the testing by Kansas-based engineers Work with platform team to either upgrade or order new test system (HW, FW & SW) as needed by Kansas-based engineers Work with Kansas-based engineers to reproduce issues in the lab Maintain the proprietary Python code for our automated test system Maintain + expand our Jenkins scripting to improve our automated test suite Create new automation scripts for complex testing requirements (stress tests, performance tests, special features, etc) Create and maintain an image diffing test suite Develop test plans and design automated tests using our proprietary test system Perform manual testing on new features for software releases when needed Communicate with other team members across time zones Be a resource for others to learn from about how to use our test system Help to document our test system for internal and external users Minimum Qualifications At least 3 years work experience coding in Python and C++ (or similar coding languages) At least 3 years' experience with testing 3D graphics applications and/or content creation tools Solid understanding of 3D graphics concepts Good eye that can notice both technical and aesthetic problems with software Experience with writing automated tests Strong experience using command prompts (DOS, bash, etc) Experience with project management for software using Jira (or similar) Detail oriented with strong organizational and communication skills and tenacity to follow through Eligibility to work with export controlled technology Bonus Points Video Game / 3D graphics testing experience Experience with flight simulation software Experience with VR or MR headset configuration/testing Experience with creating image diff tests Experience with Jira, Perforce, Visual Studio, Jenkins, Bash, GitHub Experience writing technical documentation Basic knowledge of 3D modeling, GIS, Geospatial or Geotypical content creation We offer a very attractive compensation package including competitive base salary, company performance based profit sharing, 401k, 100% employer paid health benefits (medical, dental, vision, life, std, ltd, and life insurance plans). For more information about our company, please visit . Aechelon Technology is an equal opportunity employer. We are committed to providing access and opportunities to individuals with disabilities. If you are an applicant who is unable to fully utilize/ access our application process because of a disability, Aechelon Technology will provide a reasonable accommodation. Please send an email to to request that accommodation, and please be sure to include a detailed description of your requested accommodation, your name and preferred method of contact. Seniority level: Mid Senior level Employment type: Full time
Technical Operations Lead, Computer Vision
Menlo Ventures San Francisco, California
Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like "What will it look like?" and "What will it cost?" Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property - all from a smartphone scan in minutes. At Hover, we're driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide - we're redefining how people understand and interact with their spaces. Why Hover wants you At Hover, our Computer Vision (CV) team turns raw imagery into structured data fueling the most advanced property intelligence platform in the world. To scale this system, we're hiring a Technical Operations Lead who will own the orchestration and execution of our CV/ML workflows in production, especially where human-in-the-loop (HITL) feedback is critical. You'll partner directly with CV engineers to bring algorithms to life in production environments that involve humans, tools, QA layers, and feedback loops. Your superpower is driving operational scale without compromising quality. We operate at the scale of millions of properties per year. This role is critical to making that scale possible by translating cutting edge models into reliable, efficient, and scalable systems that blend automation with human expertise. You will contribute by Partner closely with the CV and ML teams to design and execute the production deployment of computer vision models in environments involving human input, correction, or QA. Manage the day-to-day operations of complex workflows, combining automated steps with HITL components-ensuring reliability, speed, and consistent performance. Design, scale, and refine quality control systems for CV outputs, leveraging both automation and human validators. Drive operational feedback loops: analyze performance data, identify failure patterns, and partner with engineering to inform model improvements or workflow tweaks. Act as the bridge between CV engineering and our operations/QA teams, translating technical model behavior into actionable operations strategies. Own and monitor pipeline health, triaging breakdowns, and driving resolutions across human + machine steps. Propose and lead continuous improvement projects across tools, metrics, vendors, or staffing strategies. Because you will own day-to-day operational performance across a global 24/7 BPO network, international travel a couple of times a year will be essential to your success. Your background includes Have 4+ years of experience in technical program management, ML operations, or production deployment of CV/ML systems-especially involving human-in-the-loop pipelines. Have a strong grasp of ML lifecycle basics, including model limitations, data annotation requirements, and edge case handling-even if you don't write code yourself. Are deeply operational: you've run, scaled, and improved complex, multi-step systems where quality and speed matter. Know how to work across functions-engineering, product, and ops-and can keep all parties aligned through ambiguity. Are metrics-driven and detail-oriented, with a sharp eye for where workflows break down and how to fix them. Thrive in fast-paced environments and love being the person who makes the machine run smoother every day. Benefits Compensation - Competitive salary and meaningful equity in a fast-growing company Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents Paid Time Off - Unlimited and flexible vacation policy Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave Mandatory Self-Care Days - A day set aside each month to allow employees to recharge Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications Hybrid roles at Hover Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles. The US base salary range for this full time position is $221,000 - $250,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
04/02/2026
Full time
Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like "What will it look like?" and "What will it cost?" Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property - all from a smartphone scan in minutes. At Hover, we're driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide - we're redefining how people understand and interact with their spaces. Why Hover wants you At Hover, our Computer Vision (CV) team turns raw imagery into structured data fueling the most advanced property intelligence platform in the world. To scale this system, we're hiring a Technical Operations Lead who will own the orchestration and execution of our CV/ML workflows in production, especially where human-in-the-loop (HITL) feedback is critical. You'll partner directly with CV engineers to bring algorithms to life in production environments that involve humans, tools, QA layers, and feedback loops. Your superpower is driving operational scale without compromising quality. We operate at the scale of millions of properties per year. This role is critical to making that scale possible by translating cutting edge models into reliable, efficient, and scalable systems that blend automation with human expertise. You will contribute by Partner closely with the CV and ML teams to design and execute the production deployment of computer vision models in environments involving human input, correction, or QA. Manage the day-to-day operations of complex workflows, combining automated steps with HITL components-ensuring reliability, speed, and consistent performance. Design, scale, and refine quality control systems for CV outputs, leveraging both automation and human validators. Drive operational feedback loops: analyze performance data, identify failure patterns, and partner with engineering to inform model improvements or workflow tweaks. Act as the bridge between CV engineering and our operations/QA teams, translating technical model behavior into actionable operations strategies. Own and monitor pipeline health, triaging breakdowns, and driving resolutions across human + machine steps. Propose and lead continuous improvement projects across tools, metrics, vendors, or staffing strategies. Because you will own day-to-day operational performance across a global 24/7 BPO network, international travel a couple of times a year will be essential to your success. Your background includes Have 4+ years of experience in technical program management, ML operations, or production deployment of CV/ML systems-especially involving human-in-the-loop pipelines. Have a strong grasp of ML lifecycle basics, including model limitations, data annotation requirements, and edge case handling-even if you don't write code yourself. Are deeply operational: you've run, scaled, and improved complex, multi-step systems where quality and speed matter. Know how to work across functions-engineering, product, and ops-and can keep all parties aligned through ambiguity. Are metrics-driven and detail-oriented, with a sharp eye for where workflows break down and how to fix them. Thrive in fast-paced environments and love being the person who makes the machine run smoother every day. Benefits Compensation - Competitive salary and meaningful equity in a fast-growing company Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents Paid Time Off - Unlimited and flexible vacation policy Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave Mandatory Self-Care Days - A day set aside each month to allow employees to recharge Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications Hybrid roles at Hover Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles. The US base salary range for this full time position is $221,000 - $250,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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